Official Pydantic implementation partner

Business model transformation

Sell what today only your
best people can do.

Agentic systems can carry the judgement your specialists apply by hand, at a volume and a price your customers can buy. That moves your offering, your cost to serve, and the accounts you can win.

Why Vstorm

A system your customers touch carries your brand

An internal automation that gets something wrong costs you an hour of rework. The same mistake inside an offering reaches the person who paid for it, and it comes back as a refund, a churn event and a support queue. That is a higher engineering bar than a pilot has to clear, and clearing it is the whole job.

Applied means it holds up in front of the people paying you.

30+

Production deployments

Live agent systems in the client's own environment, handling real workloads.

25+

AI engineers on the team

PhDs, published researchers and open-source maintainers, working only on agentic systems.

2017

Building AI systems since

Production work on applied AI that started well before agents had a category name.

What changes

Three ways the offering moves

Business-model change takes three shapes in the mid-market. The first workshop works out which one is available to you, with an ROI case on each and a prioritised roadmap behind it.

01

A service becomes a product

What your specialists deliver by hand today becomes something a customer configures and runs. Delivery cost stops scaling with headcount, and the margin structure moves with it.

02

A segment becomes servable

Accounts too small to serve profitably by hand come into reach once the judgement sits in the system. The same offering, sold into a market that was closed to you.

03

Price follows the outcome

When a system you own executes the work, you can price the result it produces. The customer buys an outcome and the efficiency stays on your side of the deal.

Bring us the offering you cannot staff

One call on whether the judgement inside that work can be carried by a system your customers would pay for.

Open source

The engineering behind something you sell

Once your name is on the offering, the engineering underneath stops being an internal matter. The tooling our engineers maintain on github.com/vstorm-co — guardrails, sandboxes, orchestration and context tooling — came out of systems that had to hold up in front of paying customers.

3,700+
GitHub stars across them
1,856 on full-stack-ai-agent-template alone
30
Libraries we build and maintain
Public, non-forked repositories
Counted on github.com/vstorm-co · 26 August 2026

Who can build something you would put your name on

Consultancy, AI-light shop, or in-house first attempt

An engineering partner shipping product-grade systems

A pilot is graded on whether it impressed the steering committee. Evaluation, failure handling and observability arrive later, if the budget survives that far.
The bar the system has to clear
Evaluation and failure handling are scoped before the build, because the failure you are underwriting here is a refund, a churn event and a support queue.
The stack is something the vendor consumes. Emerging patterns arrive whenever a framework release documents them, which is after the hard problems have already been hit on your project.
Relationship to the technology
Official Pydantic implementation partner and the first AI consultancy accepted into the Agentic AI Foundation — the Linux Foundation body behind MCP and AGENTS.md. The patterns come from building the tools.
An offering you cannot modify is an offering you cannot reprice, extend, or take into a second segment. The vendor's roadmap quietly becomes your product roadmap.
What you can do with it afterwards
Open foundations and code you own, so the offering can be repriced, extended into a new segment, or rebuilt on a different model as the market moves.
FAQ

What buyers ask us first

We sell services. Is this really a product play? +
Sometimes. Sometimes the change is cost to serve, which opens a segment, or pricing, which moves the margin on what you already sell. The first workshop maps all three against your own numbers and puts an ROI case on each.
Where does this sit next to our internal automation work? +
Internal automation moves cost and stays behind your walls. An offering change moves revenue, and the system ends up in front of someone who paid for it — a higher engineering bar, scoped and priced differently. We do both.
Do we own what you build? +
Yes, and on this kind of engagement it is a commercial question. Repricing, extending or white-labelling an offering only works if the thing underneath is yours. Everything runs on open-source foundations, you own the code, and you can swap the underlying models.
How does this work for a mid-market budget? +
A lean senior team. One forward-deployed engineer, a transformation manager and an architect in the background replace the front-end / back-end / QA / project-manager arrangement most consultancies bill for — and cut the coordination overhead that discounting leaves untouched.
Next step

Bring us your hardest workflow

Thirty minutes with the engineers who would build it. You leave with a feasibility read and a shape for the work, whether or not you hire us.