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The team that builds and runs your agents

Each deployment is built on a tested engineering foundation. Client data and operating context remain isolated

What we believe

AI should adapt to the way businesses work.

The best agents don't ask companies to rebuild their workflows. They work inside the systems, rules and processes already in place. They handle repetitive work, operate within defined boundaries and surface the decisions that still need human judgment.

  1. Real workflows

    Built around the systems and processes people already use.

  2. Human judgment

    Automation handles the routine. People stay in control of consequential decisions.

  3. Production over demos

    An agent is only useful when it works reliably in the real world.

The team

Deep engineering. Operator experience. Proven execution.

Agentica brings together Poland's deep engineering talent, experience from two decacorns, and operators who have built and exited companies — combining technical depth with firsthand experience of building businesses at scale.

Mateusz Czech

Mateusz Czech

CEO

Mateusz Czech

CEO

Łukasz Caputa

Łukasz Caputa

CTO, co-founder

Łukasz Caputa

CTO, co-founder

Karol Górnowicz

Karol Górnowicz

CSO, co-founder

Karol Górnowicz

CSO, co-founder

Adam Mazurkiewicz

Adam Mazurkiewicz

Head of AI

Adam Mazurkiewicz

Head of AI

Maja Żmijewska

Maja Żmijewska

Head of Operations

Maja Żmijewska

Head of Operations

Julian Romuald Żelaznowski

Julian Romuald Żelaznowski

Senior Advisor

Julian Romuald Żelaznowski

Senior Advisor

Olgierd Borowiecki

Olgierd Borowiecki

Cognitive Scientist

Olgierd Borowiecki

Cognitive Scientist

Hubert Sobociński

Hubert Sobociński

AI/ML Engineer

Hubert Sobociński

AI/ML Engineer

Kamil Cięszczyk

Kamil Cięszczyk

Senior FullStack Engineer

Kamil Cięszczyk

Senior FullStack Engineer

Seweryn Turemka

Seweryn Turemka

Senior FullStack Engineer

Seweryn Turemka

Senior FullStack Engineer

Our edge

Close to the workflow. Deep in the engineering.

Engineers stay close to the workflow. Operators define the measure and the boundary. Our infrastructure carries the work that should not have to be rebuilt for every deployment.

  1. Engineering

    Deep technical capability to build agents around real systems.

  2. AI

    Agents designed to reason within the boundaries of the business.

  3. Operations

    A clear understanding of workflows, constraints and what success actually means.

  4. Infrastructure

    A shared foundation that makes deployments repeatable and reliable.

The model

Every deployment makes the next one better.

Custom deployments teach us where the hard engineering lives. The repeatable parts become shared infrastructure or focused products. Client data and operating context remain separate.

Where we're going

Building the infrastructure for agentic work.

We believe the next generation of enterprise software will operate inside existing workflows — not alongside them. Our ambition is to build the engineering and infrastructure layer that makes this possible.

Work with us

Bring a workflow. Meet the team that will work on it.

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