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For enterprise inference teams

Synapse routes long-context AI to reusable compute

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.

Patent filings pending
TTFT-focused routing
Private fleet deployment
NVIDIA Inception NVIDIA Inception Member
Patent filings pending
Measured reuse outcomes
Private inference fleets

Long-Context Inference Recomputes Too Much

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.

Repeated Context

The same source material shows up across many requests, but small framing changes can prevent ordinary prefix caches from helping.

Reusable work left cold

Cache-Blind Placement

The endpoint with the best chance of reuse is often not the default endpoint. Placement needs evidence from across the fleet.

Routing creates leverage

Unproven Savings

A semantic match is a lead, not a receipt. Operators need reuse that actually lands before reporting lower latency or avoided prefill.

Proof before ROI

Placement First. Reuse Only When Proven.

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.

1

Observe

Maintain fleet-level evidence about where reusable context is likely to be available.

2

Select

Choose the endpoint with the strongest reuse opportunity while respecting health and load.

3

Protect

Apply tenant, namespace, freshness, and deployment policy before any reuse path is attempted.

4

Prove

Separate route decisions from realized reuse so savings are measurable and auditable.

Finds reuse opportunities beyond exact-prefix matches
Counts impact only after backend confirmation
Enforces tenant-first policy and clean fallback
Runs beside existing private serving infrastructure
Separates routing evidence from realized reuse
Supports standalone and adapter-based deployments

Built for Enterprise Inference Teams

Synapse turns reusable context into better placement, safer reuse boundaries, and credible accounting for long-context efficiency gains.

Waste Less Prefill

Move long-context requests toward endpoints where prior compute can help instead of recomputing similar content blindly.

Reuse-aware placement

Improve TTFT When Reuse Lands

When the backend accepts reuse, Synapse records the latency impact and avoided prefill separately from cold routes.

Measured impact

Keep Reuse Governed

Semantic placement never bypasses policy. The backend validates materialization, and unsafe reuse paths fail closed.

Fail-closed policy

Fit Existing Serving Stacks

Deploy as a standalone gateway or integrate through adapters while keeping the router core independent of any single backend.

Router core plus adapters

Built for Reuse-Heavy Inference

Synapse is most useful when prompts differ but the underlying long-context content repeats.

RAG and Knowledge Assistants

Route questions over repeated documents, policies, or tickets toward workers with compatible donor context.

Semantic donor placement

Agent Workflows

Handle recurring tool outputs, plans, retrieved context, and state summaries without assuming exact prompt prefixes.

Non-identical prompt reuse

Code and Document Analysis

Reuse donor context across repeated repository, contract, research, and report analysis workloads.

Long-context prefill focus

Private Inference Fleets

Add reuse-aware placement to BYOC and private inference-platform deployments without tying the product to one backend.

Adapter-based deployment

Route Long-Context Traffic Smarter

See where semantic context placement can reduce redundant prefill in your own inference fleet.

For Enterprises

Request a technical walkthrough for your inference workload.

For Investors

Learn about our seed round and the semantic KV fleet-routing market.