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.

  • 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

75%

will use synthetic data to train & test AI by 2026

Gartner, 2023

70%

of AI startups fail, partly on trust & governance

Sifted, 2024

20%

operational risk reduction

Illustrative outcome

Platform

Our Solution

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

Mature AI Governance

Controls, accountability, and oversight.

What this capability does, in two or three sentences. Replace every word here — the blocks are ordinary and the card renumbers itself if you move it.

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

Ethical AI Compliance

Compliance embedded in everyday workflows.

What this capability does, in two or three sentences. Replace every word here — the blocks are ordinary and the card renumbers itself if you move it.

  • Regulatory adherence
  • ESG readiness
  • Public trust

Synthetic Data Testing

Test safely without sensitive real-world data.

What this capability does, in two or three sentences. Replace every word here — the blocks are ordinary and the card renumbers itself if you move it.

  • Privacy-preserving
  • Ongoing monitoring
  • Enhanced model testing

cases

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.

The result: 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.

  • 2021 12
  • 2022 40
  • 2023 74
  • 2024 96

Case study 02 — Financial Institution

£15M

Annual savings

20%

Risk reduction

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.

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

  • Op. risk After 80
  • Losses After 75
  • Savings After 100

Who 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.

20%

Benefit estimation · 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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