Trustworthy by construction
LoomSignal is a single service that turns raw tool output into governed context and serves it over MCP. Its whole job is to make sure an AI never acts on a half-truth — so every design choice is about where trust is earned and where it is enforced.
The medallion: three tiers of trust
Context is refined in stages, and each stage has a different level of trust. Nothing is deleted along the way — promotion is additive.
One gate, verifiable provenance
Every write goes through a single gate. It never silently overwrites a prior fact: a conflicting update supersedes the old version and both remain in the record. Each step is appended to a hash-linked provenance chain, so any fact can be traced back to the exact source and moment it came from — and the chain can be verified independently.
The read-gate: nothing contested slips through
Context only ever leaves through the read-gate. It serves canonical, cited answers and withholds or clearly flagsanything contested or stale. It is designed to fail closed — if a non-canonical fact can’t be flagged, it is not served at all, rather than shipped as if it were settled.
The MCP surface
Agents don’t call a proprietary API — they speak MCP, the open protocol. The surface is small and stable:
On your infrastructure, offline-tolerant
The whole substrate runs inside your environment — sources, credentials, and knowledge never leave. Context is stored locally and also projected to a portable, human-readable mirror that survives independently of the database. Search keeps working even with no model and no network: full-text is always the floor, and semantic search layers on top when available.