Лаборатория Интегрированного Интеллекта

Trusted AI on your documents — inside your perimeter

An AI assistant that answers from your document base with verifiable citations, honestly refuses when the answer is absent, and makes zero external requests. Entry point — the AI Sprint: 2 weeks, 450 000 ₽ fixed, acceptance tested by your own questions.

Why trust · Почему доверяем

Four guarantees, written into the contract

01

Citation on every answer

[§ N.N of document] — open it, verify it yourself

02

Honest refusal

No answer in the documents — the system says so instead of fabricating

03

Closed perimeter

Zero external requests: disconnect the internet — it keeps working

04

Acceptance by your questions

25 of 30 questions from your practice — otherwise the second payment is not owed

Verticals · Для кого

Who this is for

Priority — sectors where confidentiality rules out cloud AI

Legal

Law

Attorney-client privilege is incompatible with cloud AI. An assistant on your practice — contracts, positions, regulations — inside the firm. Complements Consultant/Garant with knowledge of YOUR documents.

Healthcare

Medicine

KII/187-FZ and administrative regulations: OMS/DMS, SOPs, onboarding. Not a medical device — certification not required. The clinic's own perimeter.

Education

Education & Universities

R&D partner for digital departments: assistants on methodological corpora, "Coach's Copilot", open benchmarks as methodology. Joint projects, not competition.

Open Lab

Sport & Chuvash — open lab

Public showcase of the method: ЛИИ-Спорт-Bench-RU (655 Q × 35 sports), citation-grounded rules assistant, the first digital K-11 Chuvash language curriculum.

Integrator · AI integration

AI assistant on your documents — inside your perimeter

Cited answers backed by your own documents. Honest refusal when the answer is not there. Closed contour — no external requests. Acceptance tested by your own 30 questions. Verticals: law firms (attorney-client privilege is incompatible with cloud AI) and private clinics (KII/administrative regulations — not a medical device).

Entry product

AI Sprint — ИИ-спринт

450 000 ₽
2 weeks · 50% upfront / 50% on acceptance
  • AI assistant on your documents, inside your perimeter (on-prem or closed server)
  • Verifiable citations — [§ N.N of document] on every answer
  • Honest refusal when the answer is absent — no fabrication
  • Acceptance: 25 of your 30 practice questions pass with correct citations — otherwise the second payment is not owed
Start a sprint

Support & Growth

from 50 000 ₽/mo
Month-to-month
  • Monthly corpus updates with repeated quality checks
  • Monitoring and incident response
  • Ongoing development and expansion
Discuss support

Sovereign Deployment

from 1 500 000 ₽
Full-scope project
  • Full client-side perimeter — isolated infrastructure
  • 152-FZ compliance and hardware isolation for confidentiality-sensitive sectors
  • Designed for legal and medical practices with strict data-handling requirements
Sovereign enquiry

Process · Как это происходит

How it works

01

Diagnostics — 60–90 min, free

We go through your situation together. We will honestly tell you if it is not a fit.

02

Live demo

Citations and honest refusal on a working stand.

03

Contract

450 000 ₽ fixed, 50/50, acceptance criterion written in.

04

2 weeks

You provide 50+ documents, we deploy the system inside your perimeter.

05

Acceptance

30 of your questions, 25 must pass with correct citations.

06

Support

From 50 000 ₽/mo: monthly corpus updates with repeated quality verification.

Research Lab · Исследовательская лаборатория

Benchmarks, weights, and methodology — in the open

Benchmarks, methodology, model weights — published as they ship. Commercial work runs on the same stack anyone can audit. Before deployment — measurement: a 60-question corpus check on every release; quantised model confirmed equal to full accuracy for document answers; the full stack certified on 16 GB GPU — runs on hardware clients often already have. Engineering write-ups → Habr

Benchmarks that didn't exist

EduBench-RU + ЛИИ-Спорт-Bench-RU (655 Q × 35 sports) — open RU domain benchmarks, live at bench.csylabs.com. Methodology open, results reproducible.

Open-weight models

Domain models on a Gemma 4 31B base — fine-tuned for education, Chuvash, and sport. Open-weight releases ship on HuggingFace as they clear our 20-item release gate; first sport model lands June 2026.

Published methodology

DoRA + PiSSA + rsLoRA + LoRA+ fine-tune pipeline · 4-phase PII Memorization Audit · 6-layer safety stack · Apache 2.0 / MIT licensing · 20-item release gate.

Benchmark snapshot · May 2026

ЛИИ-Спорт-Bench-RU leaderboard

Score scale: / 10

1
claude-opus-4.7
9.10 / 10
2
gemini-3.1-pro-preview
8.88 / 10
3
gpt-5.5
8.53 / 10
4
deepseek-v4-flash
8.03 / 10
5
qwen3.5-27b
7.52 / 10
6
gemma-4-31b-itour base
7.45 / 10

Closed frontier wins raw — but isn't fine-tunable or RU-sovereign-hostable. Gemma 4 31B is the best base we can fine-tune and deploy under 152-FZ. That's what we ship.

Full leaderboard →

Platform · Платформенная инфраструктура

The infrastructure it runs on

Live infrastructure the products on this page run on. The technical foundation our AI work builds on.

Stack

TypeScriptNext.jsReactPythonPostgreSQLHasura GraphQLbetter-authTailwind CSSGemma 4Claude APILangGraphvLLMpgvectorRAGDoRA / PiSSA / rsLoRAMistServerSRTWebRTCHLSFFmpegDockerKubernetesAnsibleProxmoxSelectelCloudflareCaddyLinuxGitHub Actions

About · Daniel Ivanov

Founder-operator, from Cheboksary

Eight years leading remote video production for international sports — twenty thousand live events across multiple countries. In April 2026 I went full-time at ООО ЛИИ — a company I founded in Cheboksary to turn that operational experience into AI products with a research foundation.

Every platform on this page is live and serving real users — built by me with a small team where AI is a force multiplier, not a replacement.

Contact · Start a project

Tell us about the domain

Drop your context — we reply within 24 hours and propose a 15-minute scoping call. For urgent conversations, email hello@csylabs.com directly.

Согласия на обработку персональных данных

Prefer email directly? hello@csylabs.com · Prefer Telegram? @techaroundsports (public channel) — write there and I reply in DM.

Have a domain worth training for?

hello@csylabs.com