We publish the research, build the compression and provenance platforms, and deploy production systems into infrastructure you control. No reselling someone else’s tools, no handoffs. Take one engagement or the whole pipeline.
Each engagement is a concrete deliverable, not a retainer. Every model we touch is validated across 7 model families and more than 40,000 benchmark questions, from 8B to 400B parameters.
We shrink a frontier model by 50–60% with no measurable quality loss. Tell us the device and the memory ceiling; we hand back a model built to that budget. A 62GB model returns at 31GB, small enough for one GPU instance or a Mac Studio. Ten hours a day, that instance runs under $9k/year on demand and under $3k on spot, against $50–100k+ in API fees. Your weights stay in your infrastructure.
Before a third-party or compressed model enters your registry, we prove it is what it claims to be. Watchman detects and classifies weight modifications in minutes, works on the compressed releases people distribute, and returns evidence-grade reports with CycloneDX AI-BOM attestations mapped to the regulations arriving now. Every model gets audited before it goes live.
Your manuals, policies, and records, made answerable on infrastructure you control. Paddock returns exact citations and table-precise answers, and you can partition recall by topic, by time, or by tenant. It runs behind your firewall, and nothing leaves the fence.
We fit a model to your domain, teaching it your terminology, your documents, and your tasks, then hand back a model that runs where you run it. When your knowledge belongs in the weights rather than a retrieval layer, we put it there. You own the result outright.
Shepherd is the platform that ties the pipeline together. It takes a frontier model, compresses it with RAM, validates it with Watchman, and deploys it to your VPC, your Mac fleet, or an air-gapped facility. CI/CD integration is included, and nothing ships unless it clears the quality gate.
We keep the system running after it ships: monitoring and incident response, model updates with a fresh Watchman audit on each one, security patches, and compliance that holds up. 24/7 support from the people who built the stack.
Most consultancies stop at advice. We take a frontier model end to end, from the research bench to a running system inside your perimeter.
Tell us your device and memory target. We fit the model to that budget and deliver it with a per-tensor quality report, so you know what the compressed model kept instead of guessing.
Production deployment into your AWS, Azure, or GCP account, onto a Mac Studio or M-series fleet, into your data centre, or inside an air-gapped facility. Every token is processed within your security perimeter.
Monitoring, model updates, and Watchman re-certification on every change, plus continuous improvement. We keep your private AI running at full performance long after handover.
Concrete outputs, and where they run. If a claim needs proof, the proof ships with it.
| Engagement | What you get | Runs on |
|---|---|---|
| RAM Compression | A model built to your memory target, 50–60% smaller, with a per-tensor quality report | AWS, Azure, GCP, or Apple Silicon |
| Watchman Audit | Evidence-grade report and CycloneDX AI-BOM attestation, with modifications classified and located | On-prem, air-gapped, or in CI |
| Paddock | Answers with exact citations and table-precise lookups, recall partitioned by topic, time, or tenant | Your hardware, behind your firewall |
| Knowledge Transfer | A model adapted to your domain, delivered as weights you own | Wherever you deploy |
| Shepherd | Automated compress, audit, and deploy pipeline with quality gates and CI/CD integration | Your VPC, Mac fleet, or air-gapped facility |
| Managed Operations | 24/7 monitoring, model updates with re-certification, security patches, and compliance | Your environment |
Bring us the model, the hardware, and the constraint. We will tell you what fits and what it costs. A 30-minute call, no sales pitch, just engineers.
Talk to Our Team