LLM features in your product
Assistants, search and Q&A over your documents, summarization, classification and data extraction — built into the product, not as a separate toy.
AI & data pipelines
We build AI features and data systems that work inside a real product: with real users, real load and a budget that has to make sense.
Typical tasks are LLM features on top of your data, collecting and processing data from open sources, and search and analytics over large volumes of documents and records. We start with a prototype on your data, measure the quality and only then scale.
Get an estimate
Hourly rate€100/h
01 / ai & data pipelines
What we build
Data collection from open sources
Systems that regularly collect, clean and enrich data from websites, registries and public APIs, and keep it up to date.
Processing, search and analytics
Pipelines for large volumes of records: queues, deduplication, full-text and semantic search, reports and exports.
02 / ai & data pipelines
How we work
Prototype on your data
A short first stage: we check on real examples whether the task can be solved and at what quality and cost.
Quality you can measure
We agree on test sets and metrics up front, so “works well” is a number, not an impression.
Production, not a demo
Monitoring, logging, cost control, rate limits and fallbacks when a model or a source is unavailable.
03 / ai & data pipelines
Where it helps
Support and internal knowledge
- Search over the knowledge base
- Answers with links to sources
- Draft replies for operators
Documents and records
- Extracting fields from documents
- Classification and routing
- Checking data for errors
Market and lead data
- Collecting company and product data
- Enrichment and deduplication
- Regular updates and exports to CRM
Related case: Clients Database — a system for collecting data from open sources for marketing purposes.
04 / ai & data pipelines
Our skills
AIPython, LangGraph, LlamaIndex, pgvector, Hugging Face
Back-endNode.js, TypeScript, Golang, PHP
DatabasesPostgreSQL, MongoDB, Redis
SearchElasticsearch
QueuesRabbitMQ
InfrastructureDocker, Ansible, Jenkins, Zabbix
how we work
No surprises. Not in scope, not in the invoice.
- 01
Discovery call
We dig into the business goal, users and constraints — free of charge.
- 02
Fixed estimate
The team estimates every task with planning poker. The price is fixed for the agreed scope: if we underestimate, that’s on us. New requests are estimated separately.
- 03
Build in the open
A shared Slack channel, regular demos and progress you can see — no black box.
- 04
Launch & run
We ship to production and stay on call 24/7 — or hand over cleanly to your team.