AI products with measurable ROI.
We build LLM agents, copilots and smart workflows on top of your data — from proof-of-concept to production. We built a tool that reads manufacturer catalogues through a driven browser and returns original part numbers — 16 brands, 202 automated tests.
Reply within 2 business days · free · no commitment
Studio since2020Prague · Focused s.r.o.
QA for Daytrip4 yearsWeb, iOS and Android — release verification
BuilderDay 20261st placeVurio — our own product, zero to the App Store
Reply2 daysGuaranteed response to an enquiry
Selected clients · 2020 — 2026
What we do03 pillars
01 / 03
LLM agents and copilots
Assistants that work with your data — internal knowledge base, customer support, sales copilot, content generation. Deployed with security, token cost control and measurable benefit in mind.
02 / 03
Process automation
Agentic systems that replace manual operations — document validation, classification, decision trees, multi-step workflows. We focus on tasks that cost your team hours every day.
03 / 03
AI layer on your product
Integrating AI into an existing website or app — smart search, recommendations, personalization, content generation. Built so AI is measurable and switchable, not a magical black box.
What you get
- Model selection (OpenAI / Anthropic / open-source) based on task, cost and data sensitivity
- Fine-tuning and custom evaluations — not just a prompt in a window
- Quality and cost telemetry — you know what each query costs and how well it answers
- Production-ready integration with your database, auth and logs
- Tests and fallbacks — when AI fails, the product still works
- Documentation for your team so you can continue without us
Selected work02 projects
Web + mobile app
Daytrip
A global private-transfer platform operating in 120+ countries. Four years across the whole product — the traveller website and mobile app, the management portal, and the driver mobile app.
Read case study
Web + mobile app
Eyeball
A sport-tech platform for elite football scouting. Players get pro-level statistics and pre-analysed video; clubs and scouts find talent that fits their brief. Work covered the logged-in web application and the player mobile app.
Read case studyFAQ06
Quick answers.
How much does an AI integration or LLM agent cost?
Engagements typically start from $10,000 USD. A 1–2 week discovery gives you a fixed price and timeline for the first milestone — you know what you'll get and what it costs. Larger products run as 2–4 week blocks with fixed pricing per block.
How long does it take to ship an LLM agent to production?
A proof-of-concept on real data takes 2–4 weeks. A production-ready agent integrated with your database, auth and logging typically takes 6–10 weeks, depending on the complexity of the decision logic and data sensitivity.
Which model — OpenAI, Anthropic or open-source?
We choose based on the task, cost and data sensitivity. For sensitive internal data we often deploy open-source locally. For demanding reasoning, Anthropic Claude. For fast prototypes, OpenAI. The choice is made in discovery, not based on hype.
What if the AI gives a wrong answer? Isn't that a risk?
We build with tests, evals and fallbacks. We measure quality and cost on every query type. The AI layer is always switchable — when it fails, the product still works. No unsupervised black-box deployments.
Can we start with a small proof-of-concept?
We recommend it. A short discovery (1–2 weeks) clarifies where AI delivers real ROI. Then a small PoC tested on your actual data. Full deployment follows only after the value is validated.
Who owns the code, model and data after delivery?
You do. We hand over all rights — repositories, prompts, evaluation datasets, documentation. The AI layer should be your asset, not a dependency on us.
Let's talk.
Tell us what you're building. We reply within two business days with a rough scope, a timeline and concrete next steps.