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Retrieval
Search-first workspace
Indexed retrieval, previews, and collections are treated as the primary product loop.
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Live beta
AI search workspace
Featured AI Product
Atlas Beta / Connector-Aware AI Search Workspace
Atlas focuses on retrieval, sensemaking, and traceability instead of vague AI claims: connect sources, search across them, inspect why results matter, and act with connector-aware boundaries.
Workflow snapshot
System design rail
2
Connectors
Source-aware adapter model
Each connector exposes its own coverage, capabilities, and operational truth model.
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Platform
Beta to production path
Lean beta economics are preserved while the architecture stays ready for OpenSearch, Redis/BullMQ, and S3-backed scale.
Recruiter scan
AI search
retrieval systems
connector architecture
workflow automation
full-stack TypeScript
search infrastructure
background jobs
product systems
Product thesis
Knowledge work is fragmented across file storage, messaging, docs, design, and project systems. Atlas tackles that fragmentation with a connector-aware search workspace that stays honest about coverage, freshness, and supported actions.
A search-first workspace that connects cloud tools, indexes what users authorize, and turns retrieval into a product surface with previews, collections, notifications, and operational clarity.
Verified AI capabilities
Multi-account OAuth connectors with source-aware access models across file storage, code, knowledge, messaging, design, and project tools.
Cross-source search, previews, collections, notifications, activity, and analytics surfaces built around workspace retrieval and operational traceability.
Lean-beta runtime with Postgres search and database-backed queue fallback, plus a production-target path using OpenSearch, Redis/BullMQ, and S3-oriented infrastructure.
Connector adapters for Google Drive, Gmail, OneDrive, Dropbox, Box, GitHub, GitLab, Notion, Slack, Figma, Linear, Airtable, Teams, AWS S3, and Google Photos.
Platform architecture
AI stack
Query understanding
Search ranking
Context-aware retrieval
Preview extraction
Automation hooks
Platform stack
Next.js 14
React 18
TypeScript
Prisma
PostgreSQL
BullMQ
Redis
Supabase
S3-style artifact storage
OpenSearch
NextAuth
Cloudflare
Railway
AWS-target architecture
Why it matters
Cross-source search is paired with previews, collections, analytics, and activity so users can understand results instead of just seeing a ranked list.
The product distinguishes lean-beta and production-target runtime paths, showing real systems thinking around cost, search infrastructure, and background jobs.
Connector behavior is explicit: Atlas exposes search coverage, supported actions, and source-specific limits rather than hiding them behind generic AI copy.