Production gateway live · talking to design partners · pre-revenue. InferLayer is the AI inference gateway that attributes every token to a business outcome. Semantic cache, multi-provider model routing across OpenAI, Anthropic, and Amazon Bedrock, and a tamper-evident cryptographic audit chain for independently verifiable cost attribution. Substrate-agnostic — runs in your own cloud, no GPU required on the default tier, and architected to scale to multi-node, Kubernetes-orchestrated inference.
InferLayer sits between your application and your inference provider as a substrate-agnostic gateway. Your requests pass through cache, classification, governance, and cryptographically-verifiable logging before reaching the model — whether that's OpenAI, Anthropic, Amazon Bedrock, or a self-hosted open-source backend. Integration is a one-line code change.
Token costs are blocking AI adoption — but the harder problem is that no one knows where the money went. Modern enterprises run AI workflows across multiple providers, with no way to attribute spend to a workflow, to a business unit, or to a measurable outcome. The CFO sees a bill. The engineering team sees usage logs. Nobody sees both at once, mapped to what the AI actually produced.
InferLayer is the allocation and attribution layer between your applications and your inference providers. We attribute every token to a workflow, route each request to the right model, cache repeat queries, and sign every audit log row into a cryptographic chain — so the cost numbers are independently verifiable without you having to trust us.
We have a production gateway live in the cloud, a verified audit chain operating in production, and benchmarks showing ~50% measured cost reduction — and lower latency — against an all-GPT-4o baseline on the default CPU/API tier, plus 100% on warm cache. We're talking to our first design partners — teams whose real workloads shape what we harden next. Your inquiry directly shapes the roadmap.
We're heads-down with design partners and a small team. No open roles right now. If you're an inference engineer, AI infrastructure researcher, or systems developer who cares about LLM cost attribution and production inference — send us your work. We'll save it for when we're ready.
base_url with https://api.inferlayer.ai/v1 and use an il- API key. Streaming, function calling, and tool use work without modification. Same response shape, same SDKs.
base_url in your OpenAI/Anthropic client to https://api.inferlayer.ai/v1 and use an InferLayer API key. Verify the first request appears in your dashboard. Done. BYOC deployment: typically 5 to 14 days depending on your cloud environment and security review process. Includes Docker Compose setup, audit log verification, dashboard configuration, and per-workflow attribution tagging.
We're talking to design partners — teams running production LLM workloads who care about cost attribution, not just optimization. If that's you, we'd love to see your setup and run a diagnostic on a sample of your logs.
We'll reply personally. No automated sequences.