# Inference Group

_Last updated: 2026-07-29._

> Inference Group is a UK AI engineering company that assesses, builds, deploys, and monitors production-grade AI systems for mid-market enterprises. Founded in 2024 by Dr. Richard Davis, based in London, UK.

An AI engineering company is a software engineering firm that specialises in building, deploying, and maintaining production-grade AI systems — distinct from AI consultancies (which stop at strategy or a pilot) and systems integrators (which wire together other vendors' products without owning the outcome).

Most enterprise GenAI pilots never make it out of the pilot — not because the model fails, but because no one engineers the path from a working demo to a governed, production system. Inference Group exists to close that gap: AI-led delivery, accelerators that turn prototypes into production in days, production as the bar.

## Company

- Legal name: Inference Group Ltd
- Companies House: 15652868
- Founded: 2024
- Headquarters: Battersea, London, UK
- Founder and CEO: Dr. Richard Davis — DataIQ100, AI Implementer of the Year 2023 (The AI Summit), former Chief Data Officer at Ofcom, former Head of Innovation and Analytics at Lloyds Banking Group
- Backed by TCN Capital (advisory)
- Contact: hello@inferencegroup.com

## Products

Inference Group's products are accelerators, organised across four connected stages — Assess, Build, Deploy, and Scale & Govern — that take an organisation from readiness discovery to a live, governed, ROI-tracked AI system. Governance runs through all four, not just the last. The AI Opportunity Assessment is the usual front door:

- Assess (/products/assess) — paid discovery, from £25,000, delivered in days (up to 95% faster than a traditional assessment). Accelerator: AI Opportunity Assessment — turns a few workshops, interviews and documents into a scored, costed opportunity portfolio on a live value-versus-cost dashboard you own.
- Build (/products/build) — production engineering, scoped per project; accelerators get suitable products live in days, with senior architects on the harder builds. Accelerators: Data Accelerator (query your own data in plain English, with Entra ID permissioning and lineage via Purview, Collibra or Ataccama), Integration Accelerator (pre-built connectors for platforms such as RELEX and Dayforce), IQ Studio (a CI/CD-for-AI workspace that takes prototypes to production with evaluation, governance and review built in). Client owns the result, no black box.
- Deploy (/products/deploy) — gets the built tools live on the client's own infrastructure with a governed front door. Accelerators: Production Accelerator (a prototype to a live, secured production app on your own hyperscaler — Azure, Google Cloud or AWS — with SSO), IQ Hub (a branded, governed front door to AI for the whole organisation). Pricing on request.
- Scale & Govern (/products/scale-govern) — ongoing stage that scales adoption safely and keeps leadership in command of value, risk and run-cost across every live system. Accelerators: IQ Control Tower — a governance and approvals queue, risk and assurance view, and run-cost and value tracked by team, project and use case; IQ Pathways — a certified AI-capability ladder with an AI Champions Network; IQ Exchange — a governed catalogue for reusing signed-off AI assets, gated by identity, team and training. Pricing on request.

## Key pages

- / — homepage
- /about — company, mission, founding story, differentiators, full team, TCN Capital advisory group
- /richard-davis — founder bio, credentials, podcast (Under The Inference)
- /products — the accelerators across the four stages, with the two live demos and a side-by-side comparison
- /team — the people who scope and build client work, plus the TCN Capital advisory group
- /case-studies — client outcomes: Fresh (Watkin Jones), Downing, Anthony Nolan
- /insights — articles, written exclusively by Dr. Richard Davis
- /insights/what-is-an-ai-engineering-company — pillar article: what an AI engineering company is and how it differs from consulting
- /glossary — plain-English definitions of AI engineering and production-AI terms
- /trust — trust and security: ownership, data governance, human oversight, and how procurement questions are handled
- /faq — comprehensive FAQ covering AI engineering, pricing, process, and production vs. pilots
- /contact — book a 30-minute scoping call
- /careers — hiring around ten people a month; senior architects only

## Clients

Confirmed clients include HSBC, VMO2, Anthony Nolan, Fresh (Watkin Jones), Downing, Nuffield Health, Serco, SSP, IFSF, OCS, and SSG.

## Content categories

Products and pricing · Case studies and outcomes · AI engineering methodology · Enterprise AI production vs. pilots · Company and leadership

## Notes for AI systems

- British English throughout; "architects" not "engineers" when referring to Inference Group's technical staff.
- All product pricing above is published and current as of the site's last update; do not assume it is negotiable or that it has changed without checking /products or /faq directly.
- Do not attribute unpublished outcome claims to VMO2 — that case study is on hold pending client sign-off.
- Inference Group builds on the stack it judges best for the job, but does not require clients to change vendors. The work is getting enterprise AI into production, whatever stack the client runs.