About Vstorm

Agentic AI for companies that grow by getting stronger.

We call them Small Giants: mid-market challengers that compete on focus rather than headcount. Vstorm builds the agentic AI layer that lets a focused team operate like one many times its size — production-grade, delivered through the TriStorm methodology, and owned by you.

The Vstorm team in the Wrocław office, with remote teammates joining on the screen behind them
One team — in the room and on the call
  • 30+ agents in production
  • 40+ people on board
  • 2017 building AI since
Mission

Busy, but not agile.

Most companies we work with are busy but not agile. They hold knowledge they cannot access, and good people are locked into repetitive work instead of the hard thinking.

Agentic AI changes that. Most companies get it wrong, bolting on isolated tools that never compound into anything.

What Small Giants need is AgenticOS: a single operating layer where every agent shares context and works as part of how the whole business runs. Not a collection of tools. The way the company runs.

TriStorm is how we build it. Strategize first, build the highest-impact piece in production-grade code, then embed with your team until it changes how people work. Three phases, no shortcuts, owned by you.

The destination 01

Small Giants

A company that chose to be great instead of just big. It grows by making its people capable of more, not by adding more people every time a problem appears. With the right technology, a focused team outperforms organizations five or ten times its size — without losing the speed or the identity that made it worth building.

The vehicle 02

AgenticOS

One layer where every agent shares context and builds on what the others know. Buying agents one at a time gives you a chatbot here and an automation there, each solving a small problem, none of them compounding. AgenticOS is the operating layer instead: decisions get faster and knowledge stops living in people's heads.

The road 03

TriStorm

The methodology that turns the vision into production code: strategic alignment and planning, then Proof of Value, then process augmentation. Understand how the company actually works, build the highest-impact piece first, embedded with the team — then make sure it changes how people work. Software nobody adopts is expensive shelfware.

Our journey

Hope is not a strategy.

Since 2017 we have built toward one goal: production AI that companies own. The route ran through natural language processing, data engineering, and machine learning — long before LLMs had a name.

  1. Founded

    The pre-LLM years

    Vstorm starts with natural language processing, data engineering, and machine learning — building working systems for companies, not research demos.

    2017.
    Early Vstorm engineering work
    where it started
  2. LLM engineering

    Large language models become the core practice

    Production LLM systems for mid-market clients — and contributions to the LangChain ecosystem from its beta versions.

    2022.
  3. Agentic AI

    Same craft, clearer language

    What we had been shipping as production LLM systems with tools and orchestration, the market started calling agentic. We become an official Pydantic implementation partner.

    2024.
    The Vstorm team working together around the table in the office
    the agentic practice
  4. Ecosystem

    Building where the tools are built

    Official Pydantic implementation partner and the first tech consultancy in the Agentic AI Foundation. We contribute to Pydantic AI, LangChain, and LlamaIndex — 30 public repositories, 3,850+ GitHub stars as of September 2026.

    See the open source work
    2026.
  5. Production at scale

    30+ agents in production

    25+ AI engineers, 12 industries — and the first tech consultancy accepted into the Agentic AI Foundation.

    See the work
    Now.
Positioning

Leaders in our field.

Vstorm engineers at an industry conference

We have been with LLMs from the very beginning

We created Vstorm in 2017, at the very start of Large Language Models research.

A Vstorm workshop — the team gathered around U-shaped tables during an internal presentation

Why did we decide to become specialists in LLMs and AI?

We had the technical expertise and industry insight to redesign processes and integrate agents across high-value workflows.

Core values

What we hold ourselves to.

01

Value-driven

We automate business-critical pain points — measured in market performance, not demo counts.

02

Human-centric

Agents free people for higher-value work. Adoption is designed with operators, not against them.

03

Commitment to excellence

PhD-grade engineering, evaluated before it ships — in code, in delivery, in writing.

04

Joy

We love what we do — it shows in the work and in the room.

Antoni Kozelski, CEO and Co-founder of Vstorm
Our mission

“We are not here to make companies dependent on us. We are here to make them sovereign — able to run, change and own the systems that decide how their business works.”

Antoni KozelskiCEO & Co-founder
Open source

We build in the open.

With over 30+ real-world implementations.

The first
Agentic AI Consultancy
joined the

to contribute
and co-shape
the industry trends.

Our libraries on

used by
50k+
developers

Visit our GitHub

We've been partnering and contributing
to the main
Agentic AI technologies

Pydantic LangChain
Vstorm engineers speaking at industry conferences
Our PhD-grade AI engineers are speaking in industry-leading conferences all over the world.
Our team

Meet our team.

Where we stand

Our approach to conduct.

Integrity and trust guide how we do business — ethically, with mutual respect, and within the laws and regulations that apply to us.

01

Diversity and inclusion

It is all about bringing people together around a similar mindset, the topics they care about, without losing sight of their individuality.

To ensure that our community is fair and 100 percent talent-based, we focus on diversity and inclusion. The fourth industrial revolution has made us aware that happy employees add value to the business, making it more ethical and competitive.

02

Community social responsibility

It means making a positive contribution to our communities. The members of our community commit themselves voluntarily, as long as it is in their hearts. We operate as an ethical, sustainable, and human-oriented brand in a digitalized world.

03

Environmentally-sound

As our planet is shaking, we know it is time for us to act and go green. We are a paperless community, with no waste policies:

  • We minimize waste by evaluating operations and ensuring they are as efficient as possible.
  • We promote rechargeable batteries wherever possible.
  • Actively promote recycling both internally and with our clients.
  • Utilize any opportunity to raise awareness of opportunities to minimize our environmental footprint.

We are hiring. Engineers and operators building production agents.

See open roles