From migration project to plug-in.
Most enterprise AI projects die in the data layer. Twelve months of consultants, ETL pipelines, and a brittle migration that breaks the moment a source system updates. Bridge skips all of it. Connect your existing tools — Slack, Gmail, Notion, HubSpot, GitHub, Drive, your custom systems — and ingestion starts immediately. Cognee handles the semantic pipeline behind the scenes. Your tools keep running. Your knowledge starts compounding. No big-bang cutover.
Connectors in, structured data out.
Existing tools stay where they are. Bridge ingests continuously into Brain and Ontology.
Three pillars.
Skip the migration
Your existing tools keep running. Bridge ingests in the background, continuously, without ripping out your stack. No multi-quarter migration project, no frozen roadmap, no risk to live operations.
Provenance on every row
Every fact carries its source: which connector, which record, which timestamp. When agents reason over the data, you can always trace back to the original. No hallucinations, no orphaned facts.
Continuous, not one-shot
Bridge keeps syncing. New emails, new tickets, new docs flow in automatically. Brain stays current. Ontology stays accurate. The system that was true yesterday is still true today.
Under the hood.
Connectors, sync state, provenance, replay.
Who is it for?
Your data lives across a dozen tools you actually use, and the idea of a six-month migration project to centralize it makes you shudder. You want AI on top of what is already running.
You are starting greenfield with a clean SaaS stack and one source of truth. Bridge pays off when the existing systems are entrenched and you cannot afford to disrupt them.
No more migrations.
The era of multi-year data migration projects is over. Bridge turns ingestion into a plug-in. Your existing tools become AI-ready without leaving your stack, and stay current as the business evolves.