Ozon Data Services designs, ships and runs production LLM software: retrieval, agents, evaluation and the infrastructure that keeps it fast, safe and measurable. Senior engineers, shipping in weeks, not slideware.
We are the engineering team companies bring in when an AI idea has to become real software that people depend on every day.
Bespoke LLM applications built around your data, workflows and constraints, not a generic template.
We wire models into the products you already run, with clean APIs and predictable behaviour.
The unglamorous layer that makes AI reliable: deploys, scaling, observability and cost control.
Turn messy operational data into models and dashboards your team actually reads.
Guardrails, redaction and audit trails so AI can touch real data without becoming a liability.
Book a scoping session. We map the highest-leverage use case and give you a plan with real numbers, no obligation.
Talk to an engineer
No offshore black box. You get named engineers who understand your domain, ship in short cycles, and hand over systems you can actually maintain.
A working prototype in the first sprint, in front of real users fast.
Every release ships with an evaluation suite so quality is a number, not an opinion.
Clean code, documentation and a handover so your team owns what we build.
Ozon built a retrieval assistant on top of our five years of support tickets and product docs. It drafts every reply our agents send now, grounded in our own content, and the evaluation harness they set up means we can change prompts without holding our breath. Handling time dropped by nearly two-thirds in the first quarter and our CSAT actually went up.

We drowned in scanned contracts. The Ozon team shipped an extraction pipeline with human review that reads, classifies and structures every document into our system, with a confidence score and a full audit trail. What took a team two days now runs in hours, and legal trusts it because they can see exactly why every field was filled the way it was.

Everything we build ships with a clean API and a Model Context Protocol server, so your own tools and AI agents can query it securely, with scoped, logged, read-controlled access.
// Connect an agent to your Ozon data via MCP import { OzonClient } from "@ozon/mcp"; const ozon = new OzonClient({ apiKey: process.env.OZON_KEY }); const answer = await ozon.query({ tool: "knowledge.search", input: "Q3 churn drivers by segment", grounded: true }); console.log(answer.citations); // fully sourced
We are a compact team of engineers and applied researchers in Plovdiv who care about one thing: AI that survives contact with real users. We have shipped assistants, extraction pipelines, agents and the infrastructure under them across support, finance, legal and operations.
We work in English, keep European working hours, and are comfortable inside regulated environments where every decision has to be explainable.
Tell us what you are trying to do. We will come back with an honest view of whether AI is the right tool, and a concrete plan if it is.