Run AI coding assistants on your own infrastructure. Your engineers get the speed everyone else has, and your code never leaves the network.
AI coding is the biggest productivity jump in a decade. We bring it inside your walls, with zero data risk.
You own the hardware and the data. We bring the team, the models, and the accountability.
Model layer, gateway and editor integration stood up inside your environment, hardened to your security baseline.
Open models improve monthly. We evaluate, regression-test and upgrade them for you, so you ride the curve untouched.
Every model is scored on your own codebase for correctness and security. Your CISO gets evidence, not assurances.
Rollout, champions and enablement so it sticks, measured by real usage, not licenses bought and forgotten.
Everything runs on infrastructure you control. Code reaches your engineers and stops at the network boundary.
Outcomes your board can measure, not another tool your engineers have to babysit.
Inline completion and chat, tuned to your stack and running on your own hardware. The same speed the rest of the industry already has.
Provable governance: a CISO scorecard, a full audit trail and transparent model provenance. Evidence your board can sign.
Give your best engineers modern AI tooling without breaking a single policy, so they stop leaving for firms that already have it.
We assumed private AI coding meant a year of internal plumbing. selfhost.ai had our team shipping with it in weeks, and our security review signed off without a single exception.
Inference, indexing and evaluation run inside your perimeter. No prompts, embeddings or telemetry leave your network.
Every model ships with a model card, license, weight checksum and SBOM, version-pinned and scanned. No black boxes.
The gateway logs every interaction with attributable identity, ready for your SIEM, your auditors and your regulator.
Engineers review and merge every suggestion under your existing controls. AI accelerates; your process still governs.
Pick the level of control your mandate demands. We procure it, deploy it, and run it.
We specify, procure and operate the hardware inside your data centre. Capital and custody stay entirely with you.
Hosted in a BFSI-empaneled data centre in Mumbai. Data stays in India, vendor risk pre-cleared, no procurement queue.
Deployed to your in-region Azure tenancy for institutions whose policy permits hyperscaler infrastructure. Live in days.
No. Models, gateway, indexing and evaluation all run inside infrastructure you control. No prompts, embeddings, telemetry or training data cross your network boundary. It is verifiable in the gateway's audit log.
Curated open-weight models, selected for your stack and benchmarked on your code. Each arrives with a model card, license, weight checksum and SBOM, version-pinned and security-scanned. Provenance is fully transparent, and for the strictest mandates we default to Western-origin weights.
We scope each engagement to where open models are genuinely strong: completion, chat, tests and common-stack work, and prove it on your codebase before rollout. The honest comparison for your team isn't cloud AI; it's the no-AI status quo they're stuck with today.
One partner, under SLA. Engineers review and merge every suggestion under your existing controls. AI accelerates the work; your process still governs it. We carry deployment, operations and governance.
A design-partner pilot for one team typically stands up within weeks on the in-country or Azure paths. BYO-hardware timelines follow your procurement cycle, which we help you navigate.
A working session for engineering and security leadership: the architecture, the controls, and a deployment plan scoped to your environment.
Start with a scoped pilot on one team. Nothing leaves your network.