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Fibery

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  • Tool Introduction:
    AI workspace for startups uniting research, dev, marketing, and CRM.
  • Inclusion Date:
    Oct 28, 2025
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Website Freemium Free trial Paid No-Code&Low-Code AI Workflow

Tool Information

What is Fibery AI

Fibery AI is a unified work and knowledge platform for startups and scale-ups. It brings together research, product development, marketing, and lightweight CRM in a single flexible workspace, so teams move from idea to execution without tool-switching. With a no-code data model, relational database, project and knowledge management, and workflow automation, Fibery connects scattered processes. Its AI features help summarize research, generate requirements, draft docs, and link insights across your knowledge graph, accelerating planning and delivery.

Fibery AI Main Features

  • No-code relational workspace: Model your domain with custom entities, relations, and fields to match your product, customers, research, and roadmap.
  • Knowledge management: Rich docs, bi-directional links, references, and a connected knowledge graph to capture insights and decisions.
  • AI assistance: Summarize research, extract themes, generate user stories and specs, draft meeting notes, and surface related context across the workspace.
  • Project and product management: Backlogs, roadmaps, Kanban boards, timelines, and capacity planning to align teams from discovery to delivery.
  • Workflow automation: Triggers, rules, and notifications to enforce processes, reduce manual updates, and keep work moving.
  • Flexible views and reports: Tables, boards, calendars, timelines, and charts to visualize work from multiple angles.
  • CRM and customer research: Track accounts, contacts, interviews, and feedback; connect insights to epics, features, and releases.
  • Permissions and spaces: Granular access control for teams, external collaborators, and sensitive data.
  • Integrations and API: Sync data with popular tools and extend workflows using webhooks and an open API.
  • Templates and workspace design: Start quickly with ready-made setups and adapt them as your operations evolve.

Who Should Use Fibery AI

Fibery AI suits startups, product-led companies, and cross-functional teams that need a single hub for research, planning, execution, and customer work. Product managers, founders, UX researchers, engineers, marketers, and customer success teams benefit from the connected data model and AI that turns scattered notes, tickets, and feedback into actionable work.

How to Use Fibery AI

  1. Sign up and create a workspace for your company or product line.
  2. Choose a template (e.g., product management, research repository) or design your own data model.
  3. Define entities and relations (features, customers, interviews, tasks) to reflect your processes.
  4. Import existing data via CSV, integrations, or API to populate your workspace.
  5. Configure views (tables, boards, timelines) and set permissions for each team.
  6. Create automations for status changes, assignments, and notifications.
  7. Enable AI to summarize research, generate requirements, and surface related context while you work.
  8. Iterate on your setup as workflows evolve, keeping everything connected in one place.

Fibery AI Industry Use Cases

Product teams link customer interviews to feature ideas and user stories, letting AI summarize themes and draft PRDs that flow into sprints. Marketing teams plan campaigns, track content from briefs to publication, and use AI to repurpose assets. Startup founders manage investor CRM, roadmap, and release notes in one model, while AI prepares meeting summaries and follow-ups. Customer success teams centralize feedback and escalate insights directly to the product backlog.

Fibery AI Pricing

Fibery typically offers tiered, per-seat plans for teams, with access to core features and advanced capabilities on higher tiers. A free trial is commonly available so teams can evaluate the product before committing. AI capabilities may be included in specific plans or metered based on usage. For the latest details, consult the official pricing page.

Fibery AI Pros and Cons

Pros:

  • Unified hub that replaces multiple disconnected tools and reduces context switching.
  • No-code relational model adapts to evolving startup workflows and edge cases.
  • AI speeds up research synthesis, documentation, and requirement generation.
  • Strong linking and knowledge graph connect insights to delivery work.
  • Flexible views and automations improve visibility and operational consistency.

Cons:

  • Initial modeling and setup can have a learning curve for new users.
  • Complex workspaces may require ongoing governance to keep data consistent.
  • AI output quality depends on the clarity and completeness of your data.
  • Migrating from multiple legacy tools can take time and planning.

Fibery AI FAQs

  • Does Fibery AI replace tools like Jira or Notion?

    It can consolidate product management, docs, research, and light CRM in one workspace. Some teams fully switch, while others integrate Fibery with existing tools during transition.

  • How does AI work with my existing knowledge?

    AI uses your workspace context to summarize research, generate drafts, and suggest related items, helping you turn raw notes and feedback into actionable work.

  • Can non-technical teams use Fibery?

    Yes. The no-code data model, templates, and visual views make it approachable for product, marketing, and success teams.

  • Is there a migration path from other tools?

    You can import via CSV, use integrations, or the API to migrate tasks, docs, and customer data into a connected model.

  • How is AI usage billed?

    AI features may be included in certain plans or billed based on usage limits. Check the official pricing page for current terms.

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