30+
Production deployments
Live agent systems in the client's own environment, handling real workloads.
Official Pydantic implementation partner
Operating model transformation
Own the intelligence that runs
your business.
AgenticOS is one operating layer where every agent shares context — built into your stack, on open foundations, and yours outright. There is no platform to rent.
Trusted by operators
-
+11.76% orders from day 1 of the Australian launchThree-agent product advisor guiding customers through print-order configuration.
Read case study -
Supply chain intelligence agents reducing manual coordination overhead.
-
37 kernels ported from CUDA to Intel GaudiProduction AI workloads moved to new hardware for on-prem LLM deployment.
-
AI agent implementation for a global automotive enterprise.
-
2 hrs → 3 min to generate a workflowText-to-workflow agents building validated node graphs inside the platform.
Read case study -
44% → 98% raw LLM vs guideline-executing accuracy on the open 50-scenario benchmarkHIPAA-compliant guideline-executing triage — 44% to 98% on the open 50-scenario benchmark.
Read case study
Why Vstorm
Buying agents one at a time leaves the operating model untouched
A chatbot in support and an automation in finance each solve a box. The gains stay inside those boxes, the integration between them becomes your team's unpaid job, and day-to-day operations look exactly as they did. What compounds is a layer where every agent shares context — and that layer has to be an asset you own.
We start where the operational pain is sharpest, prove it in production, and build outward.
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.
The operating model
One shared layer, owned outright, holding what you know
Three things have to be true at once for an agentic transformation to hold: the agents share context, the company owns the layer, and the knowledge stops depending on who is in the building.
01
AgenticOS as one shared layer
Every agent shares context and builds on what the others already know. Buying agents one at a time leaves you with a chatbot here and an automation there — none of them compounding.
02
Sovereignty, all the way down
Open-source foundations with no proprietary layer of ours in the middle. Modify it, extend it, swap the models, move it — and no recurring platform fee, because there is no platform to rent.
03
Knowledge stops living in heads
The judgement your senior specialists apply by hand becomes something the layer holds and applies. Onboarding, absence and turnover stop setting the pace of the business.
Most of your system already exists
One call to map which of your processes the operating layer should absorb first, and what the first ninety days look like.
- 01 Platform
The platform and the code
Every line of it, on open-source foundations, with no licence of ours sitting between you and it.
- 02 Data
The data and the insights it produces
Your operational data stays in your environment, and so does everything the system learns from it.
- 03 Infrastructure
The infrastructure it runs on
Deployed into your cloud or your data centre, under your security boundary and your audit regime.
- 04 Models
The models behind it
Model-agnostic by architecture, so a price change or a deprecation stays a configuration decision.
- 05 Capability
The capability to run and extend it
We work embedded and hand over runbooks and documentation, so the engagement ends with your team independent.
Rented platform or point solution
An agentic operating model you own
Vendors sell sovereignty and deliver data privacy: your data never leaves, but the platform stays theirs and the subscription keeps running. You control the environment; the intelligence inside it still sits on their side of the line.
What ownership actually means
Every layer is yours — platform, code, data, infrastructure, models, and the capability to operate them. Nothing in the stack requires our continued permission or our continued invoice.
A use-case product or a function platform solves one function well and stops at its own data model. Every new function is a new vendor, and nobody owns the connective tissue between them.
How far the gains reach
AgenticOS is an operating layer, so agents share context across departments. Each deployment makes the next one cheaper and leaves less siloed integration work behind.
A per-seat or per-conversation meter that runs forever, plus exposure to the vendor's roadmap, pricing changes, acquisition, or runway. A workflow you made mission-critical can be orphaned overnight.
What it costs over five years
The investment is made once and the asset is yours. No recurring platform fee, and no unbudgeted migration when somebody else's business model changes.
Client results
Proof, measured in production
#Engineering software#Workflow generation 
From two hours to three minutes per validated workflow
Engineers moved from hours of tedious setup to minutes, through multi-step validation rather than a single generation pass.
Read case study #Print on demand#Print-order configuration 
95.4% success rate across print-order workflows
A three-agent product advisor guiding customers through print-order configuration — 15 tools working against more than a billion product combinations.
Read case study #Healthcare#Clinical triage
Triage accuracy from 44% to 98% on the open benchmark
Guideline-executing medical triage: the LLM answers triage assessment questions; disposition follows the guideline deterministically — 98% on the open 50-scenario benchmark, on par with a 94.4% nurse-panel correct-disposition rate.
Read case study
#Media#Investigative journalism 
Knowledge-inquiry response rate from 1% to 100%
A bilingual English/Arabic autonomous agent embedded in ARIJ's Moodle environment, answering only from ARIJ's own knowledge base — across 22 countries.
Read case study
FAQ
What buyers ask us first
Is AgenticOS a product we license from you?
No. It is the architecture and the open-source foundation we build your system on, and it is handed over with the system. There is no licence, no seat count, and no recurring platform fee — if you never spoke to us again, everything would keep running.
How is this different from a platform that says our data never leaves?
That is data privacy, and it is worth having. Sovereignty goes further: the platform, the roadmap and the pricing stay with you, and the layer your business runs on becomes an asset on your side of the line.
Changing how we operate sounds like a multi-year programme.
We start where the operational pain is sharpest, prove the value in production, and build outward from there — TriStorm in three phases: strategic alignment and planning, Proof of Value, process augmentation. Each step has to earn the next, and one team carries all three: transformation consulting, technology consulting and agentic engineering under one roof.
Our team would have to maintain it. Can they?
We plan for that from day one. We work embedded with your engineers, build their skills as we deliver, and leave runbooks and documentation behind — so operating and extending the system stays in-house after we roll off.
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.