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Closed AI contour: one chat instead of ten systems

Closed AI contour: chat, roles and RAG inside the company perimeter
RAG and access inside your perimeter: roles, documents, CRM/ERP. Data stays with you. Discovery first — then a pilot on 1–2 sources.

What we deliver

One working chat

Staff ask what to do and where — answers cite your playbooks, orders and statuses, not generic model fluff.

Contour under your control

Server or VM, model/gateway, indexes, roles and access audit. On-prem or a dedicated Russian-hosted contour.

Tied to your systems

1–2 sources for the pilot: knowledge base, CRM, ERP, tickets. Expansion after a measurable KPI — not “connect everything at once”.

Your outcome

AskNayda

Hybrid search and vector layer over millions of cards — infrastructure for grounded answers.

PC Configurator

Dialog agent with orchestration and session state — production LLM sessions under control.

2–4 weeks

Typical pilot horizon: one chat, 1–2 sources, roles and a done criterion before expansion.

Technologies

OpenSearch + Qdrant
Go / Python
LangGraph
PostgreSQL
Docker / Kubernetes
Local / approved LLMs

Why NineLab?

Not a SaaS box: data and models stay with you

Same stack as cabinets and integrations — one owner through handoff

Pilot with KPI and eval, not a “watch ChatGPT answer” demo

Cost of “ten cabinets”

1 chat

People lose time switching between cabinets, wiki and ERP. A closed contour pays off when routine questions close in one window without data leaving the perimeter.

Ready to discuss your project?

First consultation is free — describe your task and we'll propose architecture and timeline estimates.

How we work

  • 1.

    15–30 min: staff pain, data sources, security and contour (on-prem / dedicated).

  • 2.

    Discovery 1–2 weeks: pilot scope, roles, risks, timeline and budget range.

  • 3.

    Pilot 2–4 weeks: index, chat, 3–5 roles, eval and audit before prod.

  • 4.

    Launch, quality and cost monitoring; next sources as a separate stage.

What you get

  • Working chat and RAG pipeline in your contour — code in your Git.
  • Diagram: sources, roles, access, human escalation points.
  • Eval set and answer-quality metrics before scope expands.
  • Docs for security and the process owner.

Pricing and timeline

Discovery — from 80,000 ₽ (1–2 weeks). Closed-contour pilot on 1–2 sources — separate quote after Discovery, usually 2–4 weeks. Retainer for indexes and quality — by agreement.

We do not promise a “chatbot for 50k”. On-prem, critical infrastructure and full ERP sync are scoped separately.

Need a chat in your contour — not a demo on a public API

Briefly describe systems and security requirements — we return a Discovery and pilot range.

Discuss your project

Describe your task — we respond within 2 business hours.

Free initial consultation

Timeline and architecture assessment

NDA on request

Or call: +7 (912) 232-74-87 · full contacts page

Closed AI contour: FAQ

Data and indexes stay in your perimeter, with roles and access audit. Answers ground in your sources — not a public chat that leaks context.

No. A cabinet is the order and accounting process. The AI contour is a staff layer on top of systems. They often follow the same Discovery.

Not always. A dedicated contour and an approved-model gateway can be enough. Hardware and model are fixed in Discovery.

Discovery — from 80,000 ₽. Pilot and infrastructure — separate quote after sources and security review. We do not quote a hard pilot number before access.

Usually 1–2: playbooks/wiki and one operational contour (CRM, tickets or an ERP slice). “All of ERP at once” is a later stage.

After Discovery, a one-chat pilot on 1–2 sources is usually 2–4 weeks.