We build the infrastructure layer for sovereign AI.
ManyLayers was started by engineers who watched enterprise teams struggle to route, govern, and audit LLM traffic across dozens of providers — and decided to solve it with a unified platform.
The AI infrastructure market is fragmented. Gateway tools that don't integrate with deployment. Workspace tools that can't route to on-prem models. Observability tools that require exporting your prompts to a third party.
We unified Gateway, Workspace, and Deploy into one platform because enterprise teams shouldn't need three separate vendor relationships and three separate security reviews to run AI at scale.
Principles we won't compromise on.
Sovereignty first
We believe AI infrastructure should be owned and controlled by the teams that run it. We design for air-gapped operation as the default, not the exception.
Engineering depth
We write the hard parts ourselves — routing logic, guardrail evaluation, model serving — and expose them as simple, well-documented configuration.
Open by default
The core of ManyLayers is MIT licensed. We believe the infrastructure layer of AI should not be a black box or a lock-in mechanism.
Transparency
No per-token markup, no telemetry, no hidden data flows. Your API keys, your provider accounts, your infrastructure — we never touch your traffic.
Engineering values that show up in the product.
Simple over clever
A single Go binary is harder to build than a distributed microservice mesh, but it is far easier to operate. We optimize for your ops burden, not our architecture diagram.
Defaults that are correct
Audit logging should be on by default. Guardrails should be easy to configure. Air-gapped mode should not require special SKUs or professional services.
Interfaces you already know
We implement the OpenAI API contract, not our own. Every team that already calls an LLM can route through ManyLayers without changing a line of application code.
Infrastructure you can trust
We are not an AI company that happens to have an API. We are an infrastructure company. Reliability, auditability, and determinism come before features.
ManyLayers ships as a single, statically-linked Go binary. No container orchestration required for basic operation. No external database for the gateway. No telemetry to our servers.
The Gateway implements the OpenAI API contract exactly, so existing code routes through it with a one-line base URL change. The Workspace is a team-facing UI on top of the same Gateway. Deploy manages open-weight model lifecycle on Kubernetes or dstack, serving the same API.
All three modules ship as one coherent platform. One deployment. One upgrade. One audit surface.
Join us.
We are a small, focused engineering team. If you care deeply about infrastructure reliability, developer experience, and building tools that enterprise teams can actually trust, we'd like to hear from you.
We don't have a formal careers page yet. Send a note introducing yourself and what you'd like to build.