Choose Faculty when
You are a government body or large enterprise needing AI safety, due diligence or red-teaming at institutional scale.
Agentic AI development companies compared
Vstorm vs Faculty: which agentic AI partner fits a mid-market company?
Faculty is a London-based applied-AI firm serving large organisations and government — defence, national security, NHS and public services feature prominently — with strengths in AI safety and red-teaming.
- 30+ agentic deployments
- Official Pydantic partner
- First AI consultancy in the Agentic AI Foundation
The short answer
Choose Faculty if you are a government body or large enterprise needing AI safety, due diligence or red-teaming at institutional scale. Choose Vstorm if you are a mid-market company that needs agentic systems in production — not an institutional programme — with open-source delivery and ownership transfer.
Looking for a Faculty alternative? Vstorm is an agentic AI development company for mid-market businesses — 30+ agentic deployments since 2017 across 12 industries, built on open-source frameworks (Pydantic AI, LangChain, LlamaIndex, Haystack) with full ownership transfer. Talk it through with an engineer — 30 minutes, no deck.
Faculty vs Vstorm at a glance
| Criterion | Faculty | Vstorm |
|---|---|---|
| Market | Government and large enterprise: defence, national security, NHS, public services. | Mid-market challengers — not enterprise programmes, not startup experiments. |
| Focus | AI strategy, safety, red-teaming and institutional programmes. | Agentic AI systems shipped into business operations — agents, RAG, multi-agent orchestration. |
| Frameworks | Does not prominently feature open-source agent frameworks on its services pages. | Framework-agnostic on open-source foundations (Pydantic AI, LangChain, LlamaIndex, Haystack) — official Pydantic implementation partner, first AI consultancy in the Agentic AI Foundation, Linux Foundation member. |
| Delivery model | Programme-scale engagements. | TriStorm: strategic alignment, Proof of Value with a go/no-go gate, then process augmentation — one team from planning through production. |
Statements about Faculty reflect its public website as of 2026-07-29; phrasing such as “does not prominently feature” means we could not find it there — not that it is impossible to buy.
Which model fits your situation
Choose Vstorm when
You are a mid-market company that needs agentic systems in production — not an institutional programme — with open-source delivery and ownership transfer.
Talk to an engineerStill comparing?
Bring one workflow. We will show you both answers.
In 30 minutes we map how a partner like Faculty and Vstorm would each approach your use case — architecture, delivery path and cost shape. Evidence, not slideware.
- 01
Single-agent system development
Production agents for business workflows, scoped and shipped in weeks.
- 02
Agentic AI transformation strategy
Mid-market transformation without institutional-programme overhead.
Evidence, not adjectives
Results measured against named evaluation sets
Every figure below is a real, published client outcome tied to the test set it was measured against — the same standard we suggest you hold any vendor on this page to.
44% → 98%
Clinical triage — Schmitt-Thompson
Guideline-executing triage lifting a raw LLM from 44% to 98% on the open 50-scenario benchmark — a domain where a wrong answer is a patient-safety event.
95.4%
Workflow success rate — Mixam
The client aimed for 80% accuracy to be usable; the delivered multi-agent product advisor exceeded it in production, with an 11.76% order increase on day 1 of the Australian launch.
2 hrs → 3 min
Workflow generation — Synera
Engineers moved from hours of tedious setup to minutes, through multi-step validation rather than a single generation pass.
FAQ
Vstorm vs Faculty — common questions
What is the main difference between Vstorm and Faculty?
Faculty serves government and large enterprise — defence, national security, the NHS — with strong AI-safety and red-teaming credentials. Vstorm serves mid-market companies that need agentic systems working in daily operations, built on open-source frameworks with full ownership transfer and without institutional-programme overhead.
Decide on evidence
Bring one workflow. Compare the answers.
A 30-minute call maps your use case, the delivery path, and whether a Proof of Value makes sense — before any commitment.