Working AI inside the perimeter
We deploy inference, index your documents, set up answers with sources and roles. The pilot checks quality on real staff questions - with acceptance criteria in the contract.
The pain we close
You need a “corporate ChatGPT” without the cloud
Documents are scattered - AI without RAG is useless
No clear pilot with metrics
After launch, nobody is there to support it
What’s included
Model stack
Llama / Qwen / Mistral and others - for Russian and the job.
RAG
Indexing, updates, answers with sources.
Pilot
4–8 weeks, quality metrics, handoff.
SLA
Monitoring, incidents, additional training by plan.
Related experience
ChatNeuron
Cloud AI agent and widget
We built NeuronChat as SaaS: portal with dashboard, agents, dialogs, leads, analytics, and knowledge base. Site widget, RAG training, multiple agents for different domains in one account. CIS-ready: multilingual AI and local CRM/1C integrations.
B2C NDA
AI tutor for kids
We built an MVP with AI for kids’ learning: assignment control, performance, question bank. The client did not develop the product further - the case stands as edtech-MVP launch experience.
FAVORIT
SaaS cost estimation from drawings
More than 5 months, two stages. Stage 1 - prototype: AI chat and PDF parsing (screenshots in the stage 1 block). Stage 2 - current state: full calculation (video in the stage 2 block). Product: https://costbl.ru/
Guides
Aligned with the overall On-Premise AI estimate on the hub and /prices.
| Package | What’s included | Price | Timeline |
|---|---|---|---|
| RAG / chat pilot | Model, document corpus, roles, report | from $5,682 | 4–8 weeks |
| Prod + SLA | Monitoring, knowledge-base updates, changes | by plan | monthly |
The full quote drivers block is on On-Premise AI and in pricing.
FAQ
How is this different from ChatNeuron?
ChatNeuron is a fast product contour for typical conversations. Here - local models and data strictly inside the client’s perimeter.
What do you measure on the pilot?
Share of answers with a correct source, human escalations, response time, pilot-group satisfaction - we lock these in advance.
Launch a RAG pilot
A sample document corpus and who will use it - enough for a 4–8 week plan.
