Transforming Data into Value
with a Trustworthy AI Platform

Bridging Trust Gaps with Ethical AI Governance & Synthetic Data Testing for Financial Services and Startups. Turn data into value safely.

Join us now
$t

in added value for financial services highlights AI’s immense potential for the industry ecosystem

[McKinsey, 2024]

$t

lost annually due to unprincipled misconduct underscores the critical need for better governance

[OCEG,2023]

%

of businesses will use synthetic data for training and testing AI by 2026, reflecting its growing importance

[Gartner,2023]

%

of AI startups will fail due to market adjustments including lack of trustworthy practices

[Sifted, 2024]

Who We Are

RevAIsor® is a pioneering company that enables trustworthy AI solutions for the financial services industry. Our mission is to bridge the trust gap in AI through innovative compliance, ethics, and governance frameworks. Our team, led by experts in synthetic data generation, model-driven engineering, and AI governance, is committed to delivering solutions that ensure reliability and ethical integrity. We collaborate with industry leaders and participate in accelerator programs to drive the adoption of responsible AI. Join us in shaping a future where AI is both powerful and principled.

Our Solution

01

Mature AI Governance

Strengthen your AI strategy by integrating advanced GRC practices tailored to manage AI-specific risks and maximise your ROI. Matured Governance enhances the existing GRC practices, adapting them to manage AI-specific risks effectively and maximise your customer’s investment in AI.

Risk Management and mitigation
Risk Management
Industry Standards Compliance
02

Ethical AI Compliance

Seamlessly integrate compliance into your AI development process, ensuring adherence to legal and ethical frameworks aligned with societal values. Embed legal and ethical compliance directly into your AI workflows, ensuring your AI systems align with societal values and regulations.

Regulatory Adherence
ESG readiness
Public Trust
03

Synthetic Data Testing

Generate customisable synthetic data for secure and efficient AI testing, more efficiently minimising privacy concerns and real-world data limitations like biases and explainability. Continuously monitor AI models with synthetic data for robust performance and compliance.

Privacy-Preserving
Ongoing monitoring
Enhanced Model Testing

Illustrative Case Studies

01

AI Fintech

A fintech startup needed to ensure its Generative AI-driven financial advisor complied with regulatory standards while maintaining high ethical standards. RevAIsor® provided a governance framework that identified and mitigated AI risks. This resulted in a compliant, trustworthy AI product, accelerating the startup’s market entry and attracting more investors. The startup successfully launched its AI product, gaining market trust and reducing regulatory risks, increasing revenue to £5m and 10x valuation within a year.

Ensured regulatory compliance (i.e. EU AI Act)
Increased investor confidence (reduced risks)
Accelerated market entry (lower barriers)
02

Financial Institution

A major financial institution sought to enhance its AI governance to manage risks and ensure compliance across its AI projects. They struggled with unprincipled misconduct affecting AI operations, which had a high impact on their ESG KPIs. RevAIsor®’s mature governance frameworks are integrated seamlessly into their existing GRC practices, optimizing their AI investments and improving decision-making processes. The institution achieved a 20% reduction in operational losses, enhancing trust and operational efficiency and saving £15m annually.

Optimised AI investments (maximise ROI)
Improved risk management (reduce uncertainty in AI)
Enhanced decision-making processes (AI Audit & Assurance)
Join us Now

Top Voices on Trustworthy AI

“Until now the only people testing the safety of new AI models have been the very companies developing it. 
…
That must change.”

AI Summit Bletchley Park 2023
Rishi Sunak UK Prime Minister
“Our future competitiveness depends on AI adoption in our daily businesses, and Europe must up its game and show the way to responsible use of AI. That is AI that enhances human capabilities, improves productivity and serves society.”

Davos 2024
Ursula von der LeyenPresident of the European Commission
“A little bit of fear [of AI] is probably wise… my personal opinion is that AI is at least 80% likely to be beneficial and perhaps 20% dangerous, although this is obviously speculative at this point.
If we hope for the best but prepare for the worst, that seems a wise course of action.”

AI Summit – Bletchley Park 2023
Elon MuskTech Entrepreneur
“Artificial Intelligence must be safe and secure.  Meeting this goal requires robust, reliable, repeatable, and standardized evaluations of AI systems, as well as policies, institutions, and, as appropriate, other mechanisms to test, understand, and mitigate risks from these systems before they are put to use. “

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
Joe BidenPresident of the United States of America

Latest posts

Hello world!

Hello Everyone! Welcome to the RevAIsor blog, where we’re venturing into the captivating realm of AI ethics, compliance, and transparency. As we embark on this…

1 2
Scroll to Top