Supported by Innovate UK

Build, Test and Govern AI You Can Trust

Enterprise AI governance, testing and assurance for regulated industries — turning compliance into a continuous, operational workflow.

Get in touch with us Explore our solution
  • EU AI Act aligned
  • ISO 42001 ready
  • FCA-aware framework
Governance Ethical compliance Synthetic data testing UK & EU regulated industries

Market size

$4.4T

AI value in financial services

McKinsey, 2024

Synthetic data

75%

will use synthetic data to train & test AI by 2026

Gartner, 2023

Governance gap

70%

of AI startups fail, partly on trust & governance

Sifted, 2024

Risk impact

20%

operational risk reduction

Illustrative outcome

01Platform

Our Solution

Three integrated capabilities that cover the full spectrum of enterprise AI governance.

Strengthen your AI strategy by putting clear controls, accountability, and oversight in place. We help organisations manage AI-related risks using governance practices that build on what they already have.

  • Risk management & mitigation
  • Regulatory compliance
  • Industry standards alignment

Make compliance a natural part of how your AI is built and used. We embed responsible practices directly into everyday workflows and decision-making, aligning AI systems with legal and ethical expectations.

  • Regulatory adherence
  • ESG readiness
  • Public trust

Test and improve AI systems safely, without relying on sensitive or limited real-world data. Reduce privacy risks, address bias, and monitor model performance in a controlled and reliable way.

  • Privacy-preserving
  • Ongoing monitoring
  • Enhanced model testing

Case Studies

Illustrative scenarios — not named clients

Case study 01 — AI fintech

£5M

Revenue reached

10×

Valuation growth

An early-stage AI fintech approached RevAIsor with a product already built but lacking the governance framework needed to satisfy regulators and attract institutional investment. Within four months, we had embedded a complete EU AI Act-aligned governance model, mapped all algorithmic decision points to audit-ready documentation, and provided a synthetic dataset regime that allowed safe model improvement without touching customer data.

The result: FCA conditional approval in the first application cycle, a Series A close at a 10× uplift, and £5M in contracted revenue within twelve months of launch.

2021202220232024

Case study 02 — Financial institution

A mid-tier UK bank was under internal pressure to accelerate AI adoption across credit decisioning, fraud detection, and customer servicing — but faced a board unwilling to sign off without robust evidence of risk control. RevAIsor performed a comprehensive AI risk audit and delivered a governance remediation roadmap over six months.

Controls were embedded across model development, deployment monitoring, and explainability tooling. The governance framework was accepted by the board and enabled AI expansion that delivered £15M in annual cost savings.

Op. riskAfter
LossesAfter
SavingsAfter
  • Board sign-off achieved
  • 20% risk reduction
  • £15M annual savings

20%

Operational risk reduction

£15M

Annual cost savings

03Who we are

We help organisations build trust in AI.

RevAIsor is an enterprise AI governance platform purpose-built for regulated industries. We combine regulatory expertise, ethical AI frameworks, and synthetic data technology to give organisations the tools they need to deploy AI responsibly.

Backed by Innovate UK and built by a team with deep experience in finance, law, and engineering — we make AI governance practical, not just principled.

Live metrics

20%

Risk reduction achieved

AI Governance

End-to-end oversight and control

Ethical Compliance

Aligned with EU AI Act and ISO 42001

Ethics & Fairness

Bias detection and fairness testing

Innovation Enabler

Grow without holding innovation back

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Talk to our AI governance experts.

Email us directly at info@revaisor.com

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