Services
ML, LLM, RAG and analytics
Classic ML models, Deep Learning and LLM systems with RAG and tool calling. Predictive analytics, scoring, decision support.
We bring artificial intelligence into company processes: classic ML models, LLM systems with RAG on the client data, and AI agents that call your tools and services. We start with a data audit, formulate hypotheses where AI gives a measurable effect and fix success metrics in the specification. An outline roadmap for the task comes within 24 hours; the start takes five days. In delivered projects a RAG assistant on client data cut the median response time from 18 to 6.4 seconds and the share of inaccurate answers by about 43%; computer vision in quality control reduced defects by about 27%; clustering of power-grid assets cut incident response time by about 34%. Price is fixed in the contract, together with KPIs and SLAs; NDA on request.
- —ML and DL models for specific tasks
- —LLM/RAG systems on your data
- —Predictive and diagnostic analytics
How the work is structured
| Stage | Duration | Deliverable |
|---|---|---|
| Analysis and technical design | 3–5 days | Data audit, hypotheses, specification with success metrics |
| Development and validation | 2–4 weeks | A working model or MVP, automated tests, validation against the agreed metrics |
| Integration and pilot | 1–2 weeks | Rollout into the client landscape, KPIs and SLAs in the contract |
The durations and terms are the same ones stated under Questions and answers: price fixed in the contract, KPIs and SLAs in the contract, NDA on request.
Result: measurable models fit to the task, not “black boxes” on your data.
Work in this area
LLM, RAG and agents
Dialogue systems on top of large language models: answers drawn strictly from the client’s knowledge base, deterministic scenarios instead of free generation, and hand-off to a human for hard cases.
Machine learning and data analysis
Models built for a specific task and dataset: computer vision, audio analytics, clustering of large datasets, and generative geometry for manufacturing.
Generative content
Text, image and voice generation as part of a product rather than a demo: a task queue, quality and safety controls, billing and an admin panel.
Discuss a project
Describe the task, the data and the timeline. We will propose a format and an outline plan. Reply within one business day, NDA on request.
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