Company
Deepark Technologies is an applied-AI company focused on turning frontier models into reliable enterprise software. We combine deep ML engineering, platform discipline, and a pragmatic delivery culture to help our customers ship �and keep shipping �real AI products.
We pick boring, robust defaults. Our job is to make AI feel like software.
If we can't measure it, we don't ship it. Evaluation is a first-class concern.
Policy, privacy, and safety controls are wired into the platform, not bolted on.
Small, senior teams. Our delivery pods pair an ML engineer, a platform engineer, and a product-minded tech lead. No hand-offs, no long chains.
Customer code, open standards. Everything we build for customers lives in their repositories. We contribute back to open source where it makes sense.
Outcomes over demos. We measure success by the model behaviors you can rely on �latency budgets, quality regressions, cost, safety �not slide decks.
We follow the usage policies of the model providers we work with, including OpenAI's Usage Policies. We do not build tools for surveillance, mass disinformation, or targeting of protected groups. For a full list of prohibited use cases, see our Terms.