Data Concept Studio is the trading name of Data Concept Studio Michał Szarek, a software company registered in Poland (Kraków), founded in 2025.
We are a product company — we build, own, and operate our own AI software, not client projects — running everything on Google Cloud. We currently ship two products: Briefcaster and MATHS.
Building AI systems at the intersection of finance, machine learning, and engineering.
I have spent the past decade working across financial services, software engineering, and AI — first as a practitioner inside institutions, then building tooling for them. That dual perspective shapes everything about how Data Concept Studio is designed: systems that are rigorous enough for real money, but fast enough for a startup.
On the finance side, I have worked across trading operations, risk frameworks, and capital markets technology — understanding not just how markets work, but how decisions are made under uncertainty and time pressure.
On the engineering side, I have designed and delivered full-stack systems end-to-end — from data pipelines and APIs to cloud infrastructure and production deployments. I have led teams, shipped products, and maintained systems that cannot afford downtime.
The convergence of large language models with real-time data is the most significant opportunity I have seen in my career. Data Concept Studio is my vehicle for building products on that frontier — AI that does real, daily work for the person using it.
Trading operations, risk management, capital markets technology, and quantitative analysis across multiple asset classes.
Multi-agent systems, LLM integration, retrieval-augmented generation, ensemble modelling, and production ML pipelines.
Cloud-native architecture, APIs, data pipelines, and infrastructure for our own products — designed, built, and run in-house.
Leading engineering teams, defining technical strategy, and delivering complex projects from concept to production.
The best AI capabilities have historically gone to those with the most infrastructure: institutional trading desks with quant teams, media companies with editorial staff. Individuals get generic products built for everyone — which means built for no one in particular.
Data Concept Studio builds AI that works for one specific person at a time. Briefcaster reads your sources and produces a briefing that exists for a single listener: you. MATHS brings institutional-grade trading decision support — systematic, auditable, risk-aware — to individual traders and smaller funds.
Both share the same engineering DNA: production systems with real accountability, human oversight where it matters, and infrastructure rigorous enough to trust with your money or your attention.