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WindwardVisit WebsiteMaritime AI with real-time insights for trade, shipping, logistics.
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What is Windward AI
Windward AI is a maritime intelligence platform that turns global vessel signals and your unstructured data into structured, decision-ready insights. Built for trading, shipping, and logistics teams, it delivers real-time visibility and predictive analytics across fleets, ports, and routes. Users get a 360° view of the maritime ecosystem to assess voyage risk, monitor sanctions exposure, forecast ETAs and congestion, and automate compliance workflows—while detecting anomalous behavior like dark activity and ship-to-ship transfers to enable faster, evidence-based decisions.
Main Features of Windward AI
- Real-time maritime data fusion: Aggregates terrestrial and satellite AIS, port events, weather, and ownership data to create a unified operating picture.
- Predictive ETA and congestion analytics: Machine learning forecasts arrival times, dwell, and port congestion to optimize planning and reduce demurrage.
- Vessel behavior analytics: Detects dark activity, route deviations, and ship-to-ship (STS) transfers with explainable behavior models.
- Sanctions and compliance screening: Screens vessels and companies against watchlists, flags deceptive practices, and maps complex ownership structures.
- Risk scoring and due diligence: Provides voyage, vessel, and counterparty risk scores to support onboarding and continuous monitoring.
- Automated alerts and workflows: Configurable rules, watchlists, and case management streamline investigations and reporting.
- API and integrations: Delivers data and insights via API/webhooks to TMS, ERP, and supply chain platforms; supports SSO and audit trails.
- Custom dashboards: Interactive maps, timelines, and KPIs for fleet tracking, route analysis, and compliance oversight.
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AkkioVisit Website
No-code ML & Generative BI: clean data, forecast, act instantly.
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What is Akkio AI
Akkio AI is a no-code machine learning and Generative BI platform that helps teams turn raw data into real-time decisions. With an intuitive, code-free workflow, users can clean datasets, combine columns, reformat dates, handle outliers, and train predictive models from historical data for classification, forecasting, and scoring. Natural-language analytics lets analysts ask questions, build dashboards, and share insights fast. Designed for non-technical and technical users alike, Akkio AI accelerates data-driven operations at an accessible, scalable cost.
Main Features of Akkio AI
- No-code model building: Create classification, regression, and forecasting models without writing code.
- Data preparation tools: Combine columns, summarize records, reformat dates, clean data, and remove outliers in a guided workflow.
- Generative BI: Ask questions in natural language to explore data, build visuals, and generate dashboards automatically.
- Automated feature engineering: Let the platform detect useful patterns and relationships to improve accuracy.
- Real-time predictions: Deploy models to score records instantly via dashboards or API.
- Evaluation metrics: Review accuracy, ROC/AUC, confusion matrix, and error metrics to validate models.
- Collaboration & sharing: Share projects, dashboards, and prediction endpoints securely with teams.
- Scalable integrations: Connect spreadsheets, databases, and cloud data warehouses for continuous analytics.
- Governance controls: Manage access, versioning, and audit-friendly workflows for analytics oversight.
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Bagel AIVisit Website
Turn product data and feedback into launch-ready growth moves.
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What is Bagel AI
Bagel AI is an AI-native Product Intelligence Platform that automates key product management workflows. It unifies customer feedback, product usage signals, and market inputs to turn raw data into actionable insights, prioritize opportunities, and streamline go-to-market execution. Powered by advanced natural language processing, it transforms scattered comments into clear themes and generates precise PRDs, user stories, release notes, and GTM content in seconds. By aligning the voice of the customer with roadmap decisions, Bagel AI helps teams move faster and drive measurable growth.
Main Features of Bagel AI
- Unified feedback ingestion: Aggregate support tickets, surveys, interviews, reviews, and internal notes to centralize the voice of the customer.
- NLP insights and themes: Use topic discovery, clustering, and sentiment analysis to surface patterns, pain points, and opportunities.
- Prioritization workflows: Score ideas by impact, effort, and segment; filter by persona or account to focus on revenue-driving work.
- AI content generation: Produce PRDs, user stories, acceptance criteria, release notes, changelogs, and GTM briefs in minutes.
- Insight dashboards and alerts: Track emerging trends, quantify demand, and get notifications as new signals appear.
- Collaboration: Share summaries, capture decisions, and align stakeholders with concise, AI-generated briefs.
- Integrations and export: Push outcomes to popular product and work tools, or export to docs for handoff.
- Governance and controls: Manage access, tagging, and data hygiene to keep feedback structured and reliable.
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Connected-StoriesVisit Website
AI platform for creative ops: turn briefs into personalized campaigns.
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What is Connected-Stories AI
Connected-Stories AI is a creative management platform that orchestrates end-to-end creative personalization. Powered by its GenAIssance engine, it transforms a campaign brief and existing assets into audience strategies, creative concepts, and on-brand content variations. With multimodal generative AI and proprietary predictive AI, it reads real-time signals to select the best message, format, and sequence for each user. Teams get faster production, smarter optimization, and consistent experiences across channels at scale.
Main Features of Connected-Stories AI
- GenAIssance chat workflow: A guided chat interface that ingests briefs and assets to generate strategies, copy, visual variations, and storyboards.
- Multimodal generation: Produces and adapts text, images, and video assets for cross-channel campaigns and diverse placements.
- Predictive optimization: Proprietary models analyze real-time signals to match content variants to users for higher relevance.
- Dynamic creative orchestration: Manage variations, rules, and targeting to scale personalized experiences without manual versioning.
- Audience and context signals: Leverage behavioral, contextual, and performance data to inform messaging and sequencing.
- Brand governance: Templates, tone controls, and approval workflows keep outputs on-brand and compliant.
- Feedback loop and testing: Built-in A/B and multivariate testing with iterative learning to improve outcomes over time.
- Asset management: Centralized asset reuse, tagging, and localization to accelerate production cycles.
- Analytics and insights: Creative performance dashboards highlighting top messages, formats, and audiences.
- Integrations: Connect to ad platforms, CMS, CDP/CRM, and DAM tools to activate creative across channels.
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IntoTheBlockVisit Website
AI on-chain analytics for BTC, ETH & DeFi risk—real-time insights.
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What is IntoTheBlock AI
IntoTheBlock AI is a crypto market intelligence platform delivering real-time on-chain analytics, indicators, and research across dozens of blockchains and hundreds of assets. It aggregates blockchain data for Bitcoin, Ethereum, Litecoin and more, turning complex activity into actionable metrics for investors, traders, and developers. The suite includes advanced dashboards, unique machine-driven signals, DeFi Smart Yields for institutional-grade yield strategies, and DeFi Risk Radar to monitor protocol and market risk, helping users make data-driven decisions.
Main Features of IntoTheBlock AI
- Real-time on-chain analytics: Track addresses, transaction volumes, large transfers, and holder distribution to gauge network activity and liquidity conditions.
- Cross-chain coverage: Unified insights for leading networks like Bitcoin, Ethereum, and Litecoin, plus many other blockchains and tokens.
- Market indicators and signals: Machine-driven metrics highlight trends such as exchange inflows/outflows, whale concentration, and network growth.
- DeFi Smart Yields: Institutional-grade analytics to evaluate yield opportunities, compare strategies, and understand expected returns.
- DeFi Risk Radar: Monitor economic and protocol risk, including factors like concentration, collateral dynamics, and liquidity health.
- Advanced dashboards: Visualize price action alongside on-chain data, derivatives metrics, and token fundamentals for faster research.
- Data access for builders: API and programmatic endpoints help developers and quants integrate blockchain data into apps and models.
- Alerts and watchlists: Configure notifications around key metrics to react quickly to changing market conditions.
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Seller SnapVisit Website
AI Amazon repricer with game theory; win Buy Box, avoid price wars.
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What is Seller Snap AI
Seller Snap AI is an automated Amazon repricer powered by game-theory tactics and real-time data. It analyzes competitor moves, demand trends, and Buy Box signals to make instant, AI-driven price adjustments that protect margins and reduce price wars. The platform also offers robust seller analytics on sales, inventory health, and competition, helping you understand profitability at SKU and account level. With configurable guardrails, MAP controls, and customizable strategies, Seller Snap AI helps sellers win the Buy Box more often, optimize pricing, and scale operations without manual effort.
Main Features of Seller Snap AI
- AI-driven repricing: Uses game-theory algorithms to respond to competitors intelligently rather than racing to the bottom.
- Real-time data: Instant price updates based on live Buy Box conditions, demand, and competitor behavior.
- Buy Box optimization: Strategies tuned to increase Buy Box share while safeguarding profitability.
- Profit guardrails: Set minimum/maximum prices, cost + margin floors, and MAP compliance rules.
- Seller analytics: Dashboards for sales performance, inventory velocity, profitability, and competitor insights.
- Custom strategies: Tailor rules by SKU, brand, or portfolio, with exceptions and scheduling.
- Bulk actions: Apply pricing rules and cost updates across large catalogs efficiently.
- Alerts and monitoring: Notifications on Buy Box changes, suppressed listings, and policy-sensitive items.
- FBA/FBM aware: Considers fulfillment type, fees, and shipping speed in pricing decisions.
- SP-API integration: Secure connection to Amazon Seller Central for smooth catalog syncing.
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June AIVisit Website
Ask product questions in plain English; get B2B SaaS metrics, no setup.
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What is June AI
June AI is a product analytics solution purpose-built for B2B SaaS companies. It lets teams ask complex product questions in plain English and instantly turns them into clear, company-level reports that explain how organizations use your product. With zero-setup insights, June AI centers on the full customer lifecycle—covering acquisition, activation, active users, retention, power users, and churn—so you can track growth and health at the account level. Every insight is backed by transparent SQL you can view and edit, helping teams go from questions to trustworthy analytics quickly.
Main Features of June AI
- Natural-language analytics: Ask product questions in English and get instant answers as charts and summaries.
- Automatic reporting: Generates focused reports on how companies use your product, without manual dashboard building.
- Company-level metrics: Measure account-level activity, adoption, and engagement to understand enterprise usage.
- Lifecycle coverage: Track acquisition, activation, active users, retention, power users, and churn in one place.
- SQL transparency: View and edit the SQL behind every report to validate logic and customize queries.
- Zero-setup insights: Get useful analytics fast, minimizing upfront configuration and time-to-value.
- Editable logic: Fine-tune definitions of events, users, and accounts to match your product model.
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VelarisVisit Website
AI Customer Success OS: 360° insights, success plans, churn prevention.
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What is Velaris AI
Velaris AI is an AI-powered customer success platform that gives Customer Success teams a unified, 360-degree view of every customer. It blends analytics, automated workflows, and collaborative success plans to help teams understand customer health, surface risks early, and drive value at scale. By unifying product usage, CRM, and support data, Velaris delivers actionable insights, standardized playbooks, and task automation that streamline operations, reduce churn, improve adoption, and enable proactive management across the entire customer lifecycle.
Main Features of Velaris AI
- 360-Degree Customer Profiles: Consolidate product usage, CRM, support, and billing data for a single source of truth on each account and user.
- AI-Powered Analytics & Health Scores: Identify churn risks and expansion signals with predictive insights, leading indicators, and configurable health metrics.
- Success Plans & Playbooks: Build structured plans with objectives, milestones, and tasks; trigger standardized playbooks to ensure consistent outcomes.
- Automation & Workflows: Automate alerts, lifecycle touchpoints, renewals, and follow-ups to reduce manual work and increase coverage.
- Collaboration Tools: Centralize notes, comments, and account context; coordinate with sales, product, and support on shared customer goals.
- Reporting & Dashboards: Track adoption, engagement, NRR, renewals, and team performance in real time for data-driven decisions.
- Integrations & Data Unification: Connect to CRM, product analytics, support desks, and data warehouses to keep information accurate and up to date.
- Proactive Account Management: Segment customers, prioritize outreach, and schedule QBRs using insights and automated task queues.
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FinChatVisit Website
AI equity research with institutional data, KPIs, 13F, earnings calendars.
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What is FinChat AI
FinChat AI is an all‑in‑one investment research platform that blends institutional‑grade financial data, analytics, and conversational AI to streamline equity analysis. It provides global coverage of public companies, accurate fundamentals and KPIs, earnings transcripts, estimates, and ownership data in one place. With customizable dashboards, powerful data visualization, alerts, and access to 13F filings, earnings calendars, investor relations content, and hedge fund letters, FinChat AI helps investors turn raw information into actionable insights faster and with greater confidence.
Main Features of FinChat AI
- Global equity coverage: Track companies across regions with standardized financials and metadata.
- Accurate fundamentals: Access audited financial statements, ratios, and time-series metrics.
- AI-powered research: Ask natural-language questions and generate summaries, comps, and quick insights.
- KPI datasets: Analyze company-specific operating metrics alongside financial results.
- Custom dashboards: Build watchlists, monitor portfolios, and tailor widgets to your workflow.
- Data visualization: Chart trends, compare peers, and export visuals for reports and presentations.
- Notifications & alerts: Get updates on earnings, filings, price moves, estimate changes, and news.
- Estimates & revisions: Review analyst estimates, consensus trends, and surprise history.
- Ownership & 13F data: See institutional holders, insider activity, and fund positioning.
- Investor relations content: Browse presentations, transcripts, and filings in one interface.
- Earnings calendars: Plan coverage with upcoming dates, call times, and historical context.
- Hedge fund letters: Read manager commentaries for idea generation and market perspective.
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OmnekyVisit Website
Generate brand-safe creatives, optimize campaigns, track ROI.
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What is Omneky AI
Omneky AI is an AI-powered advertising platform built for performance marketers to scale and optimize campaigns across channels. It automates creative generation, enforces brand guidelines, and provides omnichannel insights that guide better spend allocation. By producing on-brand ad variations, streamlining approvals, and running continuous tests, Omneky AI enables teams to launch more experiments, learn faster, and improve ROAS while maintaining brand consistency. It centralizes creative, targeting, and analytics for faster, data-driven campaign decisions.
Main Features of Omneky AI
- AI Creative Generation: Produce multiple ad variations (images, copy, video concepts) from briefs and brand assets to accelerate production.
- Brand Management: Set guardrails, tone, visual rules, and approval workflows to keep every creative on-brand and compliant.
- Omnichannel Insights: Unified analytics highlight top-performing messages and visuals across platforms and audiences.
- A/B and Multivariate Testing: Rapidly test headlines, visuals, CTAs, and formats to identify winning combinations.
- Audience & Platform Tailoring: Adapt creatives to each network’s specs and audience segments for higher relevance.
- Asset Management & Versioning: Central library to organize, track, and reuse creative assets at scale.
- Workflow Collaboration: Brief templates, comments, and approvals keep marketers, designers, and stakeholders aligned.
- Integrations: Connect major ad platforms to sync creatives, pull performance data, and streamline optimization.
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ParticlVisit Website
Retail AI for competitor insight: benchmark, price, and share.
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What is Particl AI
Particl AI is a competitor tracking platform built for retailers and brands who need clear, timely market intelligence. It aggregates and structures e-commerce data to benchmark products, monitor competitor pricing, and estimate market share. With AI-driven categorization, Particl aligns messy catalogs and matches comparable items across retailers, revealing assortment gaps and pricing opportunities. Teams use it to automate competitive research, set data-backed prices, and understand category dynamics. Dashboards, alerts, and exports turn complex market signals into practical, decision-ready insights.
Main Features of Particl AI
- Competitor price monitoring: Track prices and promotions across retailers and marketplaces to spot undercuts and price movements.
- AI product categorization: Normalize titles, attributes, and variants to match like-for-like products and reduce manual cleanup.
- Product benchmarking: Compare SKUs by price, features, ratings, and availability to understand positioning.
- Market share insights: Analyze category trends and share signals to see where you’re gaining or losing ground.
- Opportunity discovery: Identify assortment gaps, white space, and high-demand items to guide merchandising.
- Price optimization support: Use data-driven recommendations to align prices with market conditions and margin goals.
- Dashboards and alerts: Visualize key metrics and receive notifications on meaningful changes.
- Catalog-level coverage: Monitor large SKU lists with scalable data collection and automated mapping.
- Export and integration: Send insights to spreadsheets, BI tools, or workflow systems for cross-team use.
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Voxel51Visit Website
Analyze, curate, and evaluate visual data faster with Voxel51 FiftyOne.
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What is Voxel51 AI
Voxel51 AI is a visual AI platform that helps teams build better computer vision systems by focusing on data quality. Powered by the open-source library FiftyOne and enterprise offerings, it enables users to explore, curate, and evaluate multimodal datasets at scale. You can visualize labels and predictions, search embeddings, uncover failure modes and biases, and close data gaps to boost model performance. With seamless integrations across ML frameworks, storage, and annotation tools, Voxel51 AI streamlines dataset management, model debugging, and continuous improvement.
Main Features of Voxel51 AI
- Interactive dataset visualization: Inspect samples, labels, and predictions with powerful filtering, faceting, and slices.
- Curate smarter datasets: Detect duplicates, outliers, edge cases, and class imbalances to improve data coverage.
- Embeddings and similarity search: Explore embedding spaces, cluster content, and find visually similar samples.
- Model evaluation and error analysis: Compare runs, inspect confusion, examine misclassifications, and analyze failure modes.
- Bias and data gap detection: Identify systematic errors and underrepresented scenarios to reduce model risk.
- Multimodal support: Work with images, video, and rich labels (detections, segmentations, keypoints, and more).
- Format and tool compatibility: Import/export common dataset formats like COCO, YOLO, and Pascal VOC; integrate with major annotation services.
- ML stack integrations: Use with PyTorch, TensorFlow, and popular training pipelines for seamless experimentation.
- Versioning and reproducibility: Track dataset states, curation decisions, and experiments for reliable iteration.
- Team collaboration (enterprise): Role-based access, sharing, and scalable infrastructure for production workflows.
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What is LunarCrush AI
LunarCrush AI is a social media analytics and market intelligence platform that turns community signals into insights you can act on. It tracks real-time social activity, sentiment, trends, and influencer impact across assets and communities, then correlates those movements with market data. With configurable dashboards, alerts, and historical context, it helps traders, analysts, and marketers spot emerging narratives, measure brand or token momentum, and evaluate risk. The result is a clearer view of crowd behavior to support research, timing, and strategy.
Main Features of LunarCrush AI
- Real-time social metrics: Monitor social volume, engagement, and velocity to see when conversations accelerate around an asset or topic.
- Sentiment analysis: Track aggregate bullish vs. bearish sentiment to gauge community mood and shifts in narrative.
- Influencer and account impact: Identify profiles driving engagement and assess their influence on market attention.
- Trend detection: Surface rising hashtags, tickers, and themes to spot early momentum and emerging narratives.
- Market correlation: Compare social signals with price, volume, and volatility to contextualize moves.
- Custom alerts: Set thresholds for social spikes, sentiment changes, or influencer activity and receive timely notifications.
- Watchlists and dashboards: Create focused views for assets, sectors, or communities with relevant indicators.
- Historical data: Review past cycles and patterns for research, validation, and hypothesis testing.
- API access: Integrate social and market intelligence into internal tools, models, and reporting workflows.
- Data visualization: Clear charts and comparative views to translate complex activity into understandable signals.
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Common RoomVisit Website
AI customer intelligence: unify signals, rank prospects, boost conversion.
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What is Common Room AI
Common Room AI is a customer intelligence platform for GTM teams that turns buying signals into revenue. It aggregates signals from 50+ sources—product usage, website, community, social, CRM, and support—then resolves identities to enrich person and account profiles. With AI-powered activation agents, it prioritizes prospects, automates pipeline plays, and coordinates outreach across channels. The result is faster prospecting, higher outbound conversion, and a shared view of intent across sales, marketing, and customer success.
Main Features of Common Room AI
- Multi-source signal capture: Ingests intent and engagement signals from 50+ sources, including product analytics, web, community, social, CRM, and support tools.
- Identity resolution & enrichment: Unifies person and account records, enriches with firmographics and roles, and eliminates duplicates for a clean GTM graph.
- Intent scoring & prioritization: Scores accounts and leads based on behavior to surface high-intent prospects and accelerate qualification.
- AI activation agents: Automates pipeline plays, nudges, and outreach tasks with configurable rules and human-in-the-loop controls.
- Segment builder: Creates dynamic audiences by ICP, product usage, engagement level, and buying stage for targeted campaigns.
- ABM and PLG support: Aligns account-based motions with product-led growth by combining account signals and user-level activity.
- Native integrations: Syncs with CRM and MAP systems, data warehouses, and messaging tools to activate insights where teams work.
- Analytics & governance: Tracks conversion lift, play performance, and ensures access controls and data hygiene.
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Boost spaceVisit Website
AI-ready data sync: two-way, real-time, no-code, 2,000+ apps.
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What is Boost space AI
Boost space AI is a data integration and synchronization platform built to unify fragmented information across your stack. It delivers two-way sync, consolidation, and data standardization so every tool shares the same, real-time source of truth. As the first AI-ready data sync platform powered by the Model Context Protocol (MCP), it enables you to sync, enrich, and automate across 2,000+ integrations without code. With flexible mapping, deduplication, and governance controls, it creates a reliable, scalable foundation for enterprise analytics, operations, and AI agents.
Main Features of Boost space AI
- Two-way sync and consolidation: Keep data consistent across apps and databases with bidirectional updates and unified records.
- Standardization and schema mapping: Normalize fields, map objects, and harmonize formats to build a uniform data layer.
- MCP-powered AI readiness: Expose clean, up-to-date data to AI agents and workflows via Model Context Protocol.
- No-code automation: Orchestrate data flows, triggers, and actions across 2,000+ integrations without writing code.
- Data quality tools: Deduplication, enrichment, validation rules, and conflict resolution improve accuracy.
- Real-time and scheduled syncs: Choose streaming or batch to match operational and analytics needs.
- Monitoring and lineage: Dashboards, alerts, logs, and audit trails for visibility and compliance.
- Enterprise scalability: Role-based access, governance policies, and high-throughput pipelines for large teams.
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What is NinjaChat AI
NinjaChat AI is a multi-model AI chatbot platform that brings leading models like GPT-4, Claude 3, and Mixtral into one streamlined workspace. It boosts productivity with built-in tools for PDF analysis, AI image generation, and music composition, plus an integrated AI data scientist for exploring and summarizing data. By unifying premium chatbots and creative utilities, NinjaChat AI helps users research, draft, analyze, and create in a consistent, conversational interface that supports faster decision-making and content creation.
Main Features of NinjaChat AI
- Multi-model chat in one place: Access GPT-4, Claude 3, and Mixtral from a single interface to compare responses and pick the right model for each task.
- PDF analysis and summarization: Upload PDFs to extract key points, answer questions, and generate citations or summaries for quick comprehension.
- AI image generator: Produce images from text prompts, iterate on styles, refine compositions, and export visuals for marketing or design work.
- Music composition assistance: Generate musical ideas, structures, and variations to support songwriting, sound design, and creative brainstorming.
- AI data scientist: Ask data questions conversationally; get insights, charts, and structured summaries from tabular data and reports.
- Seamless conversations: Maintain context within chats, reuse prompts, and streamline workflows across research, writing, and creative tasks.
- Content drafting and editing: Create outlines, emails, blog posts, and marketing copy with model-guided rewrites and tone adjustments.
- Export and sharing: Save outputs, download results, and share artifacts with teammates to keep projects moving.
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Clarity AIVisit Website
AI sustainability insights for finance: manage ESG, climate, comply, report.
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What is Clarity AI
Clarity AI is an AI-powered sustainability data and analytics platform for financial institutions. It helps teams assess ESG performance, manage climate risk, and comply with evolving regulations. By aggregating, modeling, and validating company, fund, and sovereign data, it provides comparable, audit-ready metrics. With modules for portfolio screening, impact measurement, and regulatory alignment (e.g., SFDR, EU Taxonomy, CSRD, TCFD/ISSB), Clarity AI enables asset managers, banks, and wealth platforms to make informed decisions and report with confidence.
Main Features of Clarity AI
- ESG and impact data coverage: Standardized metrics for companies, funds, and sovereigns with machine learning–assisted estimates to fill disclosure gaps.
- Regulatory reporting tools: Pre-built workflows for SFDR (including PAI indicators), EU Taxonomy alignment, CSRD disclosures, and support for TCFD/ISSB frameworks.
- Climate analytics: Emissions accounting (Scopes 1–3), financed emissions, temperature alignment, and scenario analysis for transition and physical risk.
- Portfolio screening and risk management: Exclusions, controversy screening, thresholds, and watchlists to manage ESG risks across holdings.
- Fund and private asset look-through: Transparency into funds and private markets for more complete portfolio coverage.
- APIs and integrations: Data feeds and API access for embedding sustainability metrics into reporting, PMS/OMS, and client portals.
- Auditability and methodology transparency: Source traceability, documentation, and consistent methodologies to support verification.
- Custom dashboards and collaboration: Visualizations, benchmarking, and exportable reports for internal stakeholders and clients.
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What is SmartCoder AI
SmartCoder AI is a platform for designing generative AI bots that blend conversational intelligence with automation. It enables you to build chatbots that generate precise answers from your own knowledge bases and flowbots that execute multi-step workflows, including HTTP requests and image generation. With an intuitive builder, reusable templates, and practical guardrails, teams can tailor assistants to their needs, replicate successful setups, and deliver consistent, high-quality output across support, content, and operations.
Main Features of SmartCoder AI
- Knowledge-based chatbots: Ground responses in curated documents, URLs, and FAQs to ensure accurate, brand-aligned answers.
- Flowbot workflow automation: Orchestrate multi-step tasks with visual flows, from API calls and data parsing to conditional logic and image generation.
- HTTP/API integrations: Connect services via HTTP requests to fetch data, trigger actions, and update external systems.
- Reusable templates: Clone successful bots and components to speed up development and standardize best practices.
- Prompt management and guardrails: Structure prompts, set boundaries, and manage versions for reliable, consistent behavior.
- Testing and iteration: Sandbox interactions, review logs, and refine flows before production deployment.
- Collaboration: Share configurations with teammates, manage roles, and streamline cross-functional workflows.
- Analytics and monitoring: Track usage, performance, and content quality to guide continuous improvement.
- Multi-channel readiness: Build once and prepare for deployment across websites, apps, and internal tools.
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GPTBotsVisit Website
Enterprise no-code multi-agent platform to build, deploy AI teams.
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What is GPTBots AI
GPTBots AI is an enterprise-grade, no-code AI agent development and management platform designed for multi-agent orchestration at scale. It enables teams to rapidly build, customize, and deploy intelligent agent teams through a modular architecture and pre-configured agent templates. With visual operations, centralized governance, and end-to-end lifecycle management—from solution design to deployment and ongoing operations—the platform streamlines workflows, elevates customer experiences, and delivers stable, efficient AI that drives measurable growth across departments.
Main Features of GPTBots AI
- No-code builder: Create and configure AI agents visually without writing code, accelerating time to value.
- Multi-agent orchestration: Coordinate specialized agents to collaborate on complex tasks with clear roles and policies.
- Modular architecture: Assemble capabilities as reusable modules for flexible design and quick iteration.
- Pre-configured agent templates: Start fast with ready-to-use agents tailored to common enterprise scenarios.
- Visual operations: Monitor, manage, and optimize agents in a unified console with transparent workflows.
- End-to-end lifecycle management: Support the full journey from solution design and deployment to ongoing operations.
- Reliability at scale: Deliver stable performance suited for enterprise workloads and mission-critical processes.
- Rich agent ecosystem: Extend capabilities with a broad catalog of intelligent agents for varied business needs.
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What is Tinybird AI
Tinybird AI is an infrastructure and tooling platform for AI‑native developers to build and ship real-time analytics APIs on ClickHouse®. It lets teams ingest high‑volume JSON events, query billions of rows with low latency, and publish secure REST endpoints without backend boilerplate. Combining a hosted OLAP database with scalable APIs and a robust developer toolset—CLI, local development, and integrations—Tinybird AI streamlines data engineering and shortens time to production for in‑app analytics, personalization, monitoring, and AI application telemetry.
Main Features of Tinybird AI
- Hosted ClickHouse® OLAP: Managed, high‑performance OLAP database optimized for analytical workloads over billions of rows.
- Real-time REST APIs: Publish SQL queries as secure, low‑latency REST endpoints to power dashboards and in‑product analytics.
- Events API for streaming: High‑throughput ingestion of JSON events for clickstream, telemetry, and application logs.
- SQL‑first data modeling: Define transformations, aggregations, and joins with versionable SQL for reproducible pipelines.
- Developer toolset: CLI, local development environment, and CI/CD‑friendly workflows to ship data changes safely.
- Integrations: Connectors for popular data sources and dev tools to unify batch and streaming data.
- Scalability and performance: Columnar storage, parallel execution, and caching to deliver consistent sub‑second queries.
- Security and governance: API keys, access controls, and scoped endpoints for safe data exposure.
- Observability: Metrics and logs for API performance, query profiling, and data pipeline health.
- Reduced backend boilerplate: Skip building custom services; ship data products directly as APIs.
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Massed ComputeVisit Website
GPU/CPU cloud & bare metal for AI/VFX/HPC; NVIDIA API, flexible rates
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What is Massed Compute AI
Massed Compute AI is a cloud infrastructure platform built for high-performance workloads. It delivers on-demand GPU and CPU instances and bare metal servers optimized for AI training, machine learning inference, VFX rendering, high-performance computing, scientific simulations, and large-scale data analytics. With an inventory API, teams can programmatically discover and integrate NVIDIA GPU capacity into products and pipelines. The service emphasizes fast provisioning, flexible capacity, and affordable pricing to scale from prototype to production efficiently.
Main Features of Massed Compute AI
- High-performance GPU instances: Access NVIDIA GPUs for deep learning training, inference, and accelerated computing.
- CPU and bare metal servers: Dedicated, isolated hardware for consistent performance and low-latency workloads.
- On-demand compute: Rapid provisioning so teams can spin up resources when needed and scale down to control costs.
- Inventory API: Programmatically check availability, provision resources, and integrate GPU capacity into apps or platforms.
- Flexible pricing: Usage-based billing with options designed to fit budget, workload size, and duration.
- Workload versatility: Optimized for AI/ML, HPC, VFX/animation rendering, simulations, and data analytics pipelines.
- Developer-friendly workflow: Provision via dashboard or API with images, storage, and networking choices.
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What is Ajelix AI
Ajelix AI is an AI-powered platform that streamlines spreadsheet work for managers, analysts, and business owners. It offers a suite of AI Excel tools such as a formula generator and explainer, VBA and Apps Script creation, data cleaning, analysis, and visualization. By automating repetitive tasks and guiding users with contextual suggestions, Ajelix helps turn raw tables into insight. It also includes a lightweight business intelligence layer for building dashboards from Excel or Google Sheets, enabling faster decisions with less manual effort.
Main Features of Ajelix AI
- AI Formula Generator and Explainer: Create complex Excel or Google Sheets formulas from plain language, and get human-friendly explanations for existing formulas.
- VBA and Apps Script Creation: Generate ready-to-run VBA macros or Google Apps Script to automate repetitive spreadsheet tasks.
- Data Analysis Assistant: Summarize tables, detect patterns, segment data, and produce insights without manual querying.
- Visualization and Dashboards: Build charts and interactive dashboards to track KPIs and share results with stakeholders.
- Data Cleaning and Transformation: Normalize columns, split/merge fields, and prepare data for analysis with AI-guided steps.
- Template Library: Start faster with prebuilt templates for reporting, finance models, and operations tracking.
- Collaboration and Sharing: Share outputs and dashboards with teammates for aligned, consistent reporting.
- Cross‑platform Workflow: Works with Excel files and Google Sheets, supporting mixed tool environments.
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Swipe InsightVisit Website
Daily 9‑second marketing insights from 500+ sources, personalized.
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What is Swipe Insight AI
Swipe Insight AI is a daily app that delivers digital marketing and analytics insights in fast, 9-second reads. Powered by AI, it scans and summarizes updates from 500+ trusted sources and industry experts, then personalizes your feed around your specialties—SEO, PPC, analytics, social, and more. Instead of sifting through newsletters and blogs, you get concise, actionable takeaways and links to dive deeper. With trend monitoring and focused briefings, Swipe Insight AI helps you stay ahead of changes, policies, and strategies that impact performance.
Main Features of Swipe Insight AI
- AI-powered summaries: Condenses complex articles and reports into quick, 9-second reads for rapid understanding.
- Personalized feed: Tailors insights to your specialties such as SEO, PPC, analytics, social media, and content strategy.
- Curated from hundreds of sources: Aggregates trusted publications, expert newsletters, blogs, and research for breadth and reliability.
- Actionable takeaways: Highlights key trends, tactics, and policy changes that can influence campaigns and measurement.
- Daily updates: Keeps you current with a consistent, focused stream of marketing news and strategy insights.
- Discover and deepen: Provides concise context with the option to explore original content when you need more detail.
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SecodaVisit Website
AI-ready data catalog and governance with lineage, quality, and access.
0Website Freemium Free trial Contact for pricing -
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What is Secoda AI
Secoda AI is a unified data governance and discovery platform that combines data cataloging, observability, lineage, and policy management in one AI-ready workspace. It centralizes metadata from warehouses, data lakes, BI tools, and pipelines to create a single source of truth for analytics. With natural language search and automated documentation, teams can quickly find trusted datasets, assess data quality, visualize impact, enforce access controls, and collaborate securely—without needing deep technical expertise.
Main Features of Secoda AI
- Unified data catalog: Centralizes metadata, documentation, and ownership to streamline data discovery and trust.
- End-to-end lineage: Visualizes how datasets, transformations, and dashboards connect for faster impact analysis.
- Data observability: Monitors data quality with checks, alerts, and SLAs to reduce broken pipelines and reporting errors.
- Governance and policy enforcement: Define and automate access policies, retention, and stewardship workflows.
- AI-assisted search and docs: Natural language search and automated documentation accelerate self-service analytics.
- Role-based access control (RBAC): Fine-grained permissions and secure access aligned to compliance needs.
- Collaboration tools: Requests, approvals, annotations, and ownership help operationalize data governance.
- Wide integrations: Connects to popular data warehouses, lakes, ETL/ELT tools, and BI platforms for seamless metadata ingestion.
- Glossary and business terms: Standardize definitions and metrics to reduce ambiguity across teams.
- Automation: Tagging, lineage enrichment, and policy workflows reduce manual catalog maintenance.
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FlyPix AIVisit Website
FlyPix AI: no-code geospatial vision to detect objects and train models
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What is FlyPix AI
FlyPix AI is a geospatial AI platform for detecting and analyzing objects in satellite and aerial imagery. It helps users quickly identify features, measure patterns, and extract insights tied to precise coordinates. With an intuitive interface and automated model training, teams can build custom detectors for specific items—such as buildings, roads, or equipment—without prior AI or machine learning experience. The platform streamlines annotation, training, and inference workflows, enabling faster, consistent analysis across large areas of interest.
Main Features of FlyPix AI
- Object detection on geospatial imagery: Automatically find and count objects in satellite, aerial, or drone images to accelerate manual mapping and inspection tasks.
- Custom model training without coding: Train AI models to detect specific items or classes using guided steps, no ML expertise required.
- Coordinate-aware analysis: Work with geo-referenced data so every detection is tied to precise coordinates for spatial queries and reporting.
- Annotation and labeling tools: Create high-quality training datasets with intuitive annotation workflows that improve model performance.
- Scalable inference: Run detections across large areas of interest to produce consistent, repeatable results at scale.
- Map-based visualization: Explore results on interactive maps, review detections, and refine outputs for GIS and decision-making workflows.
- Team-friendly interface: Simplifies collaboration between GIS analysts, domain experts, and project stakeholders.
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AltIndexVisit Website
Alternative data for investing—AI stock picks, alerts, trends, dashboard.
5Website Freemium Free trial -
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What is AltIndex AI
AltIndex AI is an alternative data platform that collects and analyzes company signals from across the internet to support smarter investing. It aggregates job postings, website traffic, app downloads, customer satisfaction, and social media trends into an easy-to-use dashboard, alongside financial and technical indicators. With AI stock picks, configurable stock alerts, and thousands of curated insights, AltIndex AI helps users discover opportunities, track momentum, and validate investment theses without relying solely on traditional reports.
Main Features of AltIndex AI
- Alternative data aggregation: Consolidates hiring trends, web traffic, app downloads, reviews, and social sentiment into unified company dashboards.
- AI stock picks and rankings: AI-driven scores help surface potential opportunities and highlight notable movers.
- Real-time stock alerts: Set alerts for shifts in sentiment, traffic spikes, job posting changes, and technical signals.
- Social and review sentiment analysis: Measures buzz and customer satisfaction to gauge brand momentum.
- Website and app performance tracking: Monitors estimated visits, downloads, and ratings to assess demand trends.
- Financial and technical indicators: Complements alternative signals with conventional market data for a fuller view.
- Watchlists and screening: Build watchlists and filter companies by sector, trend strength, and data signals.
- Historical trend charts: Visualize multi-source signals over time to spot inflection points and confirm narratives.
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LyzrVisit Website
1-click insights from 3M+ models for smarter sales, marketing and CX
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What is Lyzr AI
Lyzr AI is an instant insights platform built for growth teams in sales, marketing, product, and customer operations. With more than 3,000,000 pre-built analysis models, it delivers one-click answers, benchmarks, and talk tracks that sharpen business and customer conversations. Connect your CRM, support desk, web analytics, or spreadsheets to get context-aware recommendations, summaries, and next steps. Lyzr helps teams turn raw data into actionable decisions without heavy dashboards, complex setup, or long analyst cycles.
Main Features of Lyzr AI
- One-click insights: Run pre-built analyses instantly to surface patterns, drivers, and opportunities across customer and business data.
- Massive model library: Tap into 3M+ analysis models for sales, marketing, product, customer service, and support use cases.
- Conversation intelligence: Auto-generate talk tracks, objection handling, email drafts, and meeting briefs aligned to your data.
- Decision recommendations: Get prioritized next steps, risk flags, and growth opportunities with clear rationale.
- Flexible data connections: Bring in data from popular CRMs, help desks, analytics tools, and spreadsheets.
- Custom playbooks: Tailor prompts and templates to your workflows, KPIs, and terminology.
- Role-based views: Provide reps, managers, and leaders with focused dashboards and summaries.
- Export and sharing: Share insights to slides, docs, or messaging tools to align teams quickly.
- Automation: Schedule recurring analyses and alerts for ongoing monitoring.
- Governance: Access controls and audit trails to manage usage across teams.
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Landing AIVisit Website
Train accurate computer vision with limited data; deploy at scale.
5Website Freemium Contact for pricing -
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What is Landing AI
Landing AI is a Visual AI platform built around a data-centric AI approach, helping organizations with limited datasets turn computer vision ideas into production systems. Its flagship product, LandingLens, streamlines the lifecycle—from data collection and labeling to model training, evaluation, deployment, and monitoring—so teams can scale beyond proof of concept. With deep learning, robust MLOps, and integrations like LandingLens on Snowflake and Agentic Document Extraction, Landing AI enables AI-driven automation across manufacturing and enterprise operations.
Main Features of Landing AI
- Data-Centric Workflow: Tools for labeling, quality control, and iterative improvement to boost model accuracy with fewer images.
- LandingLens Visual AI: End-to-end computer vision pipeline for classification, detection, and segmentation projects.
- MLOps and Versioning: Model experiments, audit trails, and deployment orchestration to manage models at scale.
- Edge, Cloud, and On‑Prem Deployment: Flexible runtime targets for production lines, gateways, or cloud APIs.
- Monitoring and Drift Alerts: Performance dashboards, thresholding, and alerts to detect data and model drift.
- LandingLens on Snowflake: Bring models to your data for in-platform inference and streamlined data governance.
- Agentic Document Extraction: Vision-language extraction for documents, invoices, and forms with AI assistants.
- Collaboration & Governance: Role-based access, labeling policies, and review workflows for enterprise teams.
- APIs and SDKs: Integrations with existing systems, data lakes, and factory equipment.
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Simple AnalyticsVisit Website
Privacy-first, cookie-free analytics with AI insights and GDPR compliance.
5Website Freemium Paid -
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What is Simple Analytics AI
Simple Analytics AI is a privacy-first Google Analytics alternative that delivers essential website analytics without cookies or personal data. Built for 100% GDPR compliance and ethical, privacy‑respecting measurement, it provides a clean interface, AI-driven insights, and a lightweight script that keeps pages fast. It focuses on meaningful metrics—page views, referrers, top pages, events, and campaigns—while using data encryption and privacy by design to protect visitors. Teams get actionable reporting and clarity without invasive tracking or complex setup.
Main Features of Simple Analytics AI
- Cookieless tracking: Collects aggregated web analytics without cookies or personal data, reducing consent complexity.
- GDPR-compliant by design: Built to meet GDPR and other privacy regulations with ethical data collection practices.
- AI insights: Surface trends, anomalies, and plain‑English explanations to quickly understand what’s changing and why.
- Simple, fast dashboard: Clear reports for traffic, sources, pages, geography, devices, events, and conversions.
- Events and goals: Track key actions (sign‑ups, clicks, purchases) and measure outcomes with lightweight custom events.
- UTM and campaign reporting: Attribute traffic to marketing efforts using UTM parameters and referrers.
- Data encryption: Protects data in transit and at rest to safeguard visitor privacy.
- Exports and API: Access aggregated data for reporting pipelines or BI tools.
- Email summaries: Receive concise reports to keep teams aligned without digging through dashboards.
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SourcetableVisit Website
AI spreadsheet to chat with live data, build models, charts, no-code.
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What is Sourcetable AI
Sourcetable AI is a modern, AI-powered spreadsheet for working with live data across your business—without code. Connect 100+ integrations and databases, sync them into familiar rows and columns, and chat with your data to analyze, clean, filter, and visualize. With tools like Spreadsheet AI, a Command Bar, Chart Generator, Data Analyst, and Template Generator, Sourcetable helps you build financial models, dashboards, and reports faster, keeping everything updated in one collaborative workspace. Automations and data cleaning reduce manual work and improve accuracy as sources change.
Main Features of Sourcetable AI
- Spreadsheet AI: Ask questions in plain English to summarize, forecast, or explore data directly in the grid.
- Live Data Integrations: Connect 100+ SaaS apps and databases to keep tables, metrics, and charts in sync.
- Command Bar: Trigger actions, generate formulas, and navigate datasets quickly with keyboard-first commands.
- Chart Generator: Auto-create charts and graphs from selections; refine visuals via natural language prompts.
- Data Analyst: Generate insights, cohorts, and trend analyses with explainable steps you can audit.
- Template Generator: Spin up financial models, dashboards, and reporting templates tailored to your data.
- Data Cleaning: Detect duplicates, standardize fields, fix formats, and apply guided transformations.
- No-Code Modeling: Build joins, filters, and calculations without SQL; reuse logic across sheets.
- Collaboration: Work in a shared workspace so teams can review, comment, and iterate together.
- Refresh & Automations: Schedule syncs and set alerts when key KPIs or thresholds change.
