AI that runs inside
your infrastructure.
Production AI on hardware you own. On-premises, air-gapped, or in the cloud. Your data never leaves your network.
On-Prem • Air-Gapped • Cloud • Hybrid • Any LLM • Open Source
- Version-Controlled Config
- OpenAI / Anthropic / Ollama APIs
- On-Prem / Air-Gapped / Cloud
- Unified Model Runtime
- 2-Week Guarantee
Enterprise AI is stuck
Data sovereignty isn't optional
HIPAA, CJIS, ITAR, and classified workloads can't touch external infrastructure. Most AI platforms require cloud connectivity by design.
AI projects stall for 6–12 months
Custom pipelines, new hires, orchestration built from scratch. Most projects never ship.
Vendor lock-in is a strategic risk
One provider sets your pricing and caps what you can do. Moving later means a rewrite.
AI without governance is a liability
No audit trail, no approval gates, no scoped permissions. Controls have to be built in, not bolted on.
Infrastructure-grade AI, inside your perimeter
Agents and skills are plain files
Skills are markdown with YAML frontmatter. Agents, MCP servers, and prompts are plain files on disk. Draft them in the composer or write them by hand. Either way, the files are the source of truth.
- Skills are a short YAML header plus plain instructions
- Named agents with their own model, tools, and workspace
- Reviewed in pull requests, rolled back with a commit
- No database, nothing hidden in a settings pane
One engine, every modality
Text, images, video, music, speech, and 3D all come off the same server and the same model cache. There is no second stack to stand up, and no frames or audio go to a vendor.
- Generate images, or edit a photo by describing the change
- Video with a matching soundtrack in a single pass
- Speech in dozens of voices, or a clone of your own
- All of it reachable over the same HTTP API
Works with your stack
Built for your security team to approve
Complete data sovereignty
The whole stack runs inside your perimeter. No internet, no telemetry, no connection needed at any point. That is the isolation CJIS, HIPAA, and ITAR work depends on.
You can watch it work
A live request monitor and full server logs, so you can see what ran and when. Retained audit records are an enterprise add-on.
Tools stay on a leash
Each tool is scoped and gated by an approval prompt, and shell commands can be confined to an isolated VM that never touches the host.
Human approval gates
On high-stakes actions, the agent stops and waits for a person to say yes.
Infrastructure as code
Skills, agents, and prompts are version-controlled files. Deploy via CI/CD, review in PRs, roll back with git.
No Python, no supply chain
One code-signed binary. No interpreter, no package manager, no transitive dependencies to audit or patch.
You can check all of this yourself
MLX Serve is MIT licensed and developed in the open. The code, the release history, and the benchmark methodology are all on GitHub.
The benchmarks are published, not asserted
Decode speed is measured against LM Studio, oMLX, and MTPLX on identical model weights, and every run is committed to the repository with the harness and the method. On shipping defaults the engine averages about 26% faster than LM Studio. On some models the gap is far wider, and on a few it is a tie. All of it is in the table, including the rows where we do not win.
What we are working on right now
Active pilot in public sector critical infrastructure
We are running a pilot with a public sector critical infrastructure operator. The question is whether local AI can read operational log data and produce a root cause analysis worth trusting. The logs never leave their network. They are indexed and queried on hardware the agency controls, and nothing goes to a model vendor.
This is an evaluation, not a finished deployment, and we are not claiming a result yet. We will publish what we learn when it wraps up, including if the answer turns out to be no.
From scoping to production in two weeks
Deploy inside the perimeter
A code-signed native app on hardware you own, air-gapped if required, with zero external dependencies.
Built-in web console
Chat playground, live request monitor, image and audio tools, and the API reference. All on the same port.
MCP protocol & open APIs
Full MCP client support, four APIs on one port, streaming, and tasks you schedule in plain English.
Publish agents to users
We put agents behind your own auth, rate limits, and logging, so they are safe to hand to people outside engineering.
2-Week Money-Back Guarantee
We define success criteria together. If we don't deliver a working AI workflow within two weeks, you get your money back.
Book a Demo