Every tool that connects your files to an AI model sends that data to a remote server. You lose ownership the moment you press send.
Cloud AI services receive a copy of every document, query, and response. There's no control over how that data is stored, shared, or used.
You can share a file, or not. You cannot share only some paragraphs, redact financial figures, or apply time-limited access policies.
Re-uploading large document sets on every session burns time and money. Latency compounds when every AI interaction round-trips to a remote server.
We built Contexteer on a simple belief: your data should never leave your control to be useful to an AI.
Cryptographic identity, no central server. Every peer connection is direct.
Files are indexed once, locally. Semantic search responds in milliseconds without re-uploading.
Redact keywords, block sensitive patterns, or write policies in plain English — enforced by AI.
Peers can not only query your context — they can write back with full access control.
As AI assistants become embedded in every workflow, the question of who controls the context becomes the most important question in enterprise software.
Today, that context flows through a handful of cloud providers. Contexteer is building the infrastructure for a world where organizations own their AI context — with sovereign control, no vendor lock-in, and sub-second performance.
Explore the technologyWe're working with early enterprise partners and investors. Tell us about your use case.