Лаборатория Интегрированного Интеллекта

Open benchmarks. Domain models. Deployed under 152-FZ.

We fine-tune language models for your domain and deploy them under 152-FZ. We publish domain benchmarks — starting with EduBench-RU — and validate our own models on them before shipping.

Research Lab · Исследовательская лаборатория

Benchmarks, weights, and methodology — in the open

Benchmarks, weights, methodology — all published. Commercial work runs on the same stack anyone can audit.

Benchmarks that didn't exist

EduBench-RU v1 — the first RU-language domain benchmark. Methodology open, results reproducible. Further benchmarks publish as they ship.

Open-weight models

EduLLM-RU-27B and EduLLM-Chuvash-27B — live on HuggingFace under permissive licenses. Next releases ship when ready.

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.

Integrator · AI integration

Three ways to engage

From a 2-week readiness audit to enterprise deployment. The same research-grade pipeline that backs our open releases — applied to your domain data.

LLM Readiness Assessment

400K ₽
2 weeks
  • Domain benchmark run on your data
  • Fine-tune scope + deployment estimate
  • Measured baseline against SOTA
Book an assessment
Most common

Bespoke Fine-tune + Deploy

2–5M ₽
12–16 weeks
  • Fine-tuned model on your domain
  • On-prem or Selectel 152-FZ deployment
  • Eval harness · 3-month warranty
Discuss a project

Enterprise Platform

80K–2M ₽/mo
Month-to-month
  • Your domain model served on-prem
  • Ongoing data curation · quarterly model revisions
  • Benchmark tracking · multi-tenant or dedicated
Enterprise enquiry

Platform · Платформенная инфраструктура

Eight years of video delivery and SaaS infrastructure

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

Stack

TypeScriptNext.jsReactPythonPostgreSQLHasura GraphQLbetter-authTailwind CSSQwenClaude 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