Fibery
Fibery is an AI-powered operating system for organizations that builds customized workspaces with connected databases, automations, documents, and context-aware AI to streamline product development and knowledge management.
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Key Features
Connected databases
Unlimited databases with table, board, calendar, timeline, Gantt, gallery and map views.
Context-aware AI Agent
AI accesses databases, views, documents and entity change history for contextual responses.
Automation engine
Rules, buttons, JavaScript scripting, API calls, and AI-populated fields for workflows.
Docs & whiteboards
Rich-text documents and collaborative whiteboards linked to entities for connected knowledge.
Advanced permissions
Granular roles, guests/observers, custom templates, and entity-level sharing controls.
Semantic search
Meaning-based search, transcription, and smart entity discovery linking relevant knowledge.
Integrations & sync
Two-way Jira sync, Slack notifications, Zapier/Make, GraphQL API and integration SDK.
Optimized timeline
Improved timeline performance and memory efficiency for large datasets and grouping.
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Why Choose Fibery
For technical architects:
Supports complex abstractions so architects build sophisticated, tailored systems.85% MRR growth:
Weekly releases in 2025 demonstrate rapid product improvements and customer focus.Horizontal flexibility:
Adapts across product, operations, CRM, and knowledge management without vertical limits.Startup-friendly pricing:
Free tier up to 10 users and six months free Pro for eligible startups.
Pricing
Free: $0/month for teams up to 10 users with limited AI (20 Smart Agent calls/month) and 10 databases for semantic search. Standard: $12/user/month. Pro: $20/user/month. Enterprise: $40/user/month (min 25 users). Startup offer: six months free Pro.
About Fibery
Fibery is an AI-powered operating system for organizations that builds customized workspaces with connected databases, automations, documents, and context-aware AI to streamline product development and knowledge management.
What Fibery Does
Fibery enables teams to build customized operating systems that combine connected databases, rich documents, collaborative whiteboards, and automations into one unified workspace. Users design workflows that match real processes rather than adapting to rigid apps.
Its AI integration lets assistants access workspace context to brainstorm, improve writing, extract structured data, transcribe audio/video, perform semantic search, create and update entities, write formulas, and run command-chained automations.
Typical uses include consolidating scattered information into a single source of truth, managing product development by linking feedback to features, automating repetitive admin tasks, and generating data-driven reports with entity history.
Pros & Cons
AI bundled
AI features are included in Standard and Pro plans without extra add-ons.
Context-aware AI
AI directly uses workspace data and entity history for more relevant outputs.
AI automation
Command chaining, JavaScript, and AI-driven field population enable complex workflows.
Free guests
Invite external collaborators without extra seat costs and control their access.
Own OpenAI key
Users must configure their OpenAI API token before using AI features.
Steep learning curve
Deep flexibility requires time to master full architectural capabilities.
Free tier limit
Free plan restricts membership to 10 users; larger teams need paid plans.
Frequently Asked Questions
Fibery AI connects directly to workspace data so assistants automate tasks, write formulas, run chained automations, perform semantic search, and generate reports using real entity context and history.
Fibery AI is included in paid plans: Standard $12/user/month, Pro $20/user/month, Enterprise $40/user/month (min 25 users); free plan has limited AI (20 Smart Agent calls/month).
Fibery AI requires users to set up their own OpenAI API token so AI features function using the user's credentials and credits.
Fibery AI can analyze data, create/update entities, extract structured fields, assess sentiment, generate historical reports, and surface relevant knowledge via semantic search.
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