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.
Three-agent product advisor guiding customers through print-order configuration.
Read case study
Supply chain intelligence agents reducing manual coordination overhead.
Production AI workloads moved to new hardware for on-prem LLM deployment.
AI agent implementation for a global automotive enterprise.
Text-to-workflow agents building validated node graphs inside the platform.
Read case study
HIPAA-compliant agentic RAG over proprietary clinical triage guidelines.
Read case studyMost 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.
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.
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 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.
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.
Vstorm starts with natural language processing, data engineering, and machine learning — building working systems for companies, not research demos.
Production LLM systems for mid-market clients — and contributions to the LangChain ecosystem from its beta versions.
Agentic systems become the core of every engagement. Vstorm becomes the first-ever Pydantic AI partner.
25+ AI engineers, 12 industries — and the first tech consultancy accepted into the Agentic AI Foundation.
See the work
We created Vstorm in 2017, at the very start of Large Language Models research.
The year 2017 marked the beginning of intensive research on scaling language models (LLMs). The introduction of larger models with billions of parameters opened new perspectives on text generation and comprehension, laying the foundation for future developments in artificial intelligence and Agentic AI.
We had the technical expertise and industry insight to redesign processes and integrate agents across high-value workflows.
We decided to become specialists in Agentic AI and LLMs because we recognized their immense transformative potential for mid-market businesses. The ability of AI agents to autonomously execute complex workflows — with evaluation and guardrails keeping hallucination risk under control — allowed implementation to enhance how businesses truly operate and deliver measurable value. By focusing on these technologies, we positioned ourselves to help businesses harness their power for advanced automation, personalization, and decision-making as an end-to-end partner.
We automate business-critical pain points — measured in market performance, not demo counts.
Agents free people for higher-value work. Adoption is designed with operators, not against them.
PhD-grade engineering, evaluated before it ships — in code, in delivery, in writing.
We love what we do — it shows in the work and in the room.
Straight answers to the questions we hear most — how we deliver, why we bet on agentic AI over automation shortcuts, and how we keep agents honest in production.
The staff-augmentation model splits strategy from build. TriStorm does not — and that is why agentic AI work has a chance of reaching production.
Read Part 1RPA executes a rule. Agentic AI reasons about the exception. The mechanism-level difference, with two production deployments.
Read Part 2Structured output is not correct output. Here is how Vstorm evaluates agents before they ship, with the production numbers behind it.
Read Part 3
“As we strive to become the best in our field, our aim is that our expertise can be leveraged to grant you greater mastery of your own domain.”
With over 30+ real-world implementations.
The first
Agentic AI Consultancy
joined the
to contribute
and co-shape
the industry trends.
We've been partnering and contributing
to the main
Agentic AI technologies
Meet directly with our founders and PhD AI engineers. We will demonstrate real implementations from 30+ agentic projects and show you the practical steps to integrate them into your specific workflows. No hypotheticals, just proven approaches.
Synera's engineers spent up to two hours building each workflow by hand. We engineered a text-to-workflow system — LLM, multi-step validator, and RAG — that turns a plain-language prompt into a ready node graph in about two minutes, with zero hallucination events in production.
2 min to build a workflow — down from 2 hours
Production agentic systems across printing, clinical guidelines, and multilingual knowledge support — not demos.
Integrity and trust guide how we do business — ethically, with mutual respect, and within the laws and regulations that apply to us.
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.
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.
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 are hiring. Engineers and operators building production agents.
See open roles
AI chatbots in e-commerce, in particular, have become integral in enhancing customer service, providing instant, personalized responses to customer inquiries, and significantly improving user experience.
Ten European open source agentic AI contributors ranked on licence, production readiness and fit — eight companies and two individual maintainers.
Denials hit 11.81% in 2024 despite widespread RPA. Why an automated revenue cycle still leaks revenue, and what agentic AI changes.
Meet the founders and PhD AI engineers behind 30+ production deployments. We will show real implementations and the practical steps to integrate them into your operations.
