On-premise Parsewise with local models
Run the engine inside your own contour with GigaChat or Qwen — data stays in Russia, nothing leaves the perimeter.
Banks and enterprises asked for the engine without data ever leaving their network. The on-premise build delivers it: the full Parsewise stack inside your contour, with local models.
Local models, your hardware
GigaChat, Qwen and other open models run on your hardware. The RAG cluster, vector store and admin run in your network — no calls to external providers.
Compliant by design
Personal data is stored and processed in Russia under 152-ФЗ. Audit logs, roles and SSO give you full control over who sees what.
«The engine never leaves the perimeter — and neither does the data.» — Parsewise team
More builds from the shelf.
Same team, different problems. Recent cases in adjacent industries — each shipped with the senior people who own outcomes.
Tell us your task
Projects by type grow year over year
MVP, redesign, AI and support — cumulative
The studio profile across key axes
Speed, quality, transparency, engineering
Research, design and build overlap
Parallel streams — not a waterfall