About Vstorm
Agentic AI for companies that grow by getting stronger.
We call them Small Giants: companies that compete on focus. Vstorm builds the agentic AI layer that lets a focused team operate like one many times its size, in code built for daily use and owned by you.
- 50+ workflows agentified
- 40+ people on board
- 2017 building AI since
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Core contributor and memberFirst agentic AI engineering company to join
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Anthropic partner network
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OpenAI Select Partner
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Core contributor and implementation partner
We engineer agentic AI that companies own and run themselves, built on open standards we help write.
We have been building AI since 2017.
Small Giants
A company that grows by making its people capable of more. With the right technology, a focused team outperforms organizations five or ten times its size and keeps the speed and identity that made it worth building.
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.
How we work
We map how the company actually runs, redesign one high-impact process around agents, build it with the team and train the people who will run it. A Proof of Value comes before the full build. Software nobody adopts is expensive shelfware.
“We help write the open standards that agentic AI runs on. In the Agentic AI Foundation we take part in the working groups on observability and traceability, and our engineers contribute to Pydantic AI, LangChain and LlamaIndex. Then we put those standards to work inside companies, in systems each company owns and runs itself.”
Our road to the frontier of agentic AI engineering.
Since 2017 we have engineered AI systems that our clients own: language models before they had a name, agent harnesses from the first usable LLMs, and agentic AI today.
- Founded
NLP and machine learning, before LLMs
Vstorm starts with natural language processing, data engineering and machine learning, building systems companies use every day.
2017.
- Agentic harness engineering
From NLP and ML to agentic harnesses
With GPT-3.5's launch in November of that year, we start engineering the harness around the model: the tools, context and checks that let it do real work for a client.
2022.
- Recognition
Deloitte Technology Fast 50 Central Europe
Vstorm enters the Deloitte Technology Fast 50 Central Europe, the ranking of the region's fastest-growing technology companies. Agentic AI engineering was the driver of our success.
Read the Deloitte story2024.
- Track record
In production before the frameworks were stable
Our first agentic systems went live in production in July 2025, handling more than 100,000 queries a month. That was before the frontier agentic frameworks released their 1.0 versions: Pydantic AI 1.0 on September 4, 2025 and LangChain 1.0 on October 22, 2025.
2025. - Standards
The first agentic AI engineering company to shape open standards
In December 2025, days after its launch, Vstorm became the first agentic AI engineering and services company to join the Agentic AI Foundation. OpenAI, Anthropic and Block co-founded the Foundation under the Linux Foundation as a neutral home for open agentic standards such as the Model Context Protocol (MCP) and AGENTS.md, to name a few. The Foundation builds open standards for agentic AI with input from practitioners who run these systems in production, and Vstorm contributes from its live implementations.
2025.No.1first agentic AI engineering company in
- Open source
Built in production, shared as open source
Every production system we build teaches us something. Many of those lessons solve problems other engineering teams face too, so we publish them as open source: 30+ public repositories, 4,000+ GitHub stars, more than 10M PyPI downloads and 1.8 million downloads a month. The success of our open source rests on its reliability and on the developers who use it.
See the open source work2026.downloads on PyPI10M+
4,000+ stars on GitHub
1.8M downloads a month
- Upstream
Our open source in a frontier agentic framework
In July 2026, a frontier agentic framework merges technology from four of our open-source libraries into its official framework. Teams that build on it now use capabilities that started in our client work.
2026. - Ecosystem
In the partner networks of OpenAI and Claude
OpenAI Select Partner and Claude Certified Services Partner, alongside our Pydantic partnership.
2026.AnthropicClaude Certified Services Partner
OpenAISelect Partner
PydanticCore contributor and implementation partner
- Award
We received the Open Agentic AI Innovation Award
On 23 October 2026, Vstorm received the Open Agentic AI Innovation Award at the Agentic AI Foundation's first Annual Technical Excellence Awards, presented at AGNTCon + MCPCon North America in San Jose. The award recognises organisations that deployed or advanced AAIF's open standards in production, research or public tooling with real-world impact.
Read the AAIF announcement2026.
Open Agentic AI Innovation Award. - Agentic AI at scale
50+ workflows agentified
More than 50 complex, multi-step workflows run in production for our clients worldwide, with agents we have built handling millions of queries since launch. We work with leading companies to change how their operations and business models run.
See the workNow.
Path forward.
We will keep contributing to the open standards of agentic AI and to the frontier harness frameworks. Working on them from the inside is how we understand the technology, share what we learn with the community and help shape where agentic AI goes next.
Then we bring those standards and practices to our clients, so the new ideas reach their business and change how it runs.
Life at Vstorm.
Most weeks we meet in the Wrocław office or on a call with teammates who work remotely.
Our values.
Ownership.
You know what your role needs and do it before anyone asks.
- If you can make a decision that unblocks the work, you make it.
- You finish what you start, flag delays early, own your mistakes and bring a fix.
- Before time off, you hand over.
Excellence.
When there is room, you go past the standard.
- On something new, you say "I don't know, but I'll find out" and test it yourself.
- You tell clients plainly what will not work and turn feedback into growth goals.
- Engineers learn the business; everyone else learns AI for their role.
Collaboration.
Different roles, one goal.
- You consult others and share what you know.
- Hard things get said directly and with care.
- If a doc or async thread will do, we skip the meeting; when we meet, there is an agenda and notes.
- Engineers have reserved time to work with other teams.
A series on who we are and how we work.
Straight answers to the questions we hear most: how we deliver, why we chose agentic AI over RPA, and how we keep agents honest once they are live.
Why strategy and build stay with one team
Staff-augmentation shops put strategy in one room and the build in another. TriStorm keeps both with the same team, which is usually the only setup where agentic AI actually goes live.
Read Part 1Why we bet on agentic AI over RPA
RPA executes a rule. Agentic AI reasons about the exception. The mechanism-level difference, with two live deployments.
Read Part 2Evaluation before production
Schema-valid output is still wrong until you measure it. How Vstorm evaluates agents before they ship, with the numbers from live systems behind it.
Read Part 3We are hiring. Engineers and operators building agents that clients run every day.
See open rolesGet to know what we write about
What agentic AI is still taken for: three lessons from Stockholm
From a keynote to Nordic financial institutions: why agentic AI is not a black box, why kill switches miss the point and how accuracy can rise.
Official announcement of Vstorm and Pydantic partnership
From beta adoption to 30+ client deployments and upstream contributions: how Vstorm's partnership with Pydantic came about, and what it covers.
Vstorm’s engineer supports audio deepfake analysis – CVPR 2026
A CVPR 2026 workshop paper co-authored by Vstorm's Dawid Wolkiewicz traces audio deepfakes to the model family and version that generated them.