A semantic context layer for private inference fleets. Synapse routes long-context requests toward reusable context already in the fleet, turning repeated work into lower TTFT, less cold prefill, and better GPU utilization.
Enterprise AI traffic repeats the same underlying documents, code, tool output, and state. Exact prefix caching helps when tokens line up perfectly; Synapse targets the expensive middle where the context is reusable but the prompt is not identical.
The same source material shows up across many requests, but small framing changes can prevent ordinary prefix caches from helping.
The endpoint with the best chance of reuse is often not the default endpoint. Placement needs evidence from across the fleet.
A semantic match is a lead, not a receipt. Operators need reuse that actually lands before reporting lower latency or avoided prefill.
Synapse sits beside the serving stack and turns reusable context into a placement signal. The serving stack stays in control, policies stay enforceable, and every claimed win is tied to reuse that actually lands.
Maintain fleet-level evidence about where reusable context is likely to be available.
Choose the endpoint with the strongest reuse opportunity while respecting health and load.
Apply tenant, namespace, freshness, and deployment policy before any reuse path is attempted.
Separate route decisions from realized reuse so savings are measurable and auditable.
Synapse turns reusable context into better placement, safer reuse boundaries, and credible accounting for long-context efficiency gains.
Move long-context requests toward endpoints where prior compute can help instead of recomputing similar content blindly.
Reuse-aware placementWhen the backend accepts reuse, Synapse records the latency impact and avoided prefill separately from cold routes.
Measured impactSemantic placement never bypasses policy. The backend validates materialization, and unsafe reuse paths fail closed.
Fail-closed policyDeploy as a standalone gateway or integrate through adapters while keeping the router core independent of any single backend.
Router core plus adaptersSynapse is most useful when prompts differ but the underlying long-context content repeats.
Route questions over repeated documents, policies, or tickets toward workers with compatible donor context.
Handle recurring tool outputs, plans, retrieved context, and state summaries without assuming exact prompt prefixes.
Reuse donor context across repeated repository, contract, research, and report analysis workloads.
Add reuse-aware placement to BYOC and private inference-platform deployments without tying the product to one backend.
See where semantic context placement can reduce redundant prefill in your own inference fleet.
Request a technical walkthrough for your inference workload.
Learn about our seed round and the semantic KV fleet-routing market.