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About POVA

Diligence-grade data review, built on evidence

POVA was built to take diligence and audit analytics past dashboards, sampling, and rule checks. One platform, five reviews: Operational & Financial, Process & Efficiency, Cyber, Data Access, and Document & Data Conformance. Each turns a target's exported data into ranked findings a reviewer can tie to source, rather than a black-box list of anomalies no one can act on.

Founder

Roy Daya

Roy Daya is an AI and DeepTech entrepreneur who has spent over two decades helping organizations get reliable answers out of their data. His career spans fraud investigations, industrial safety systems, audit analytics, and AI strategy consulting across dozens of countries. He holds a Kellogg MBA and continues to pursue PhD-level research in AI agents and expert systems, computer vision for industrial safety, and applied linguistics, across both academic institutions and private organizations.

He founded his first technology company, Digital-Clay, in 2003. In 2012, he launched AppliedML, an AI consulting and product company specializing in computer vision for industrial safety and operational analytics. In 2022, he founded POVA AI to apply the same evidence-first method to due diligence and business auditing. He served as Chairman of a Mensa regional chapter and is a member of the Prometheus Society.

25+years in AI and data work
2012AppliedML founded
2022POVA AI founded
MBAKellogg School of Management
Abstract architectural geometryAI systems → operational truth → audit evidence
Journey

From industrial AI to diligence and audit work

2022 — Present

Founder & CEO · POVA AI Ltd

Deep data review of exported operational data, identifying where controls, behavior, and outcomes diverge.

2012 — Present

Founder & CEO · AppliedML

AI consulting and product company turning existing security cameras into real-time safety and process sensors. Over 50 industrial solutions running on-site with no internet required. ISO 27001 and ISO 45001 certified. Deployed across manufacturing, logistics, financial services, pharma, and many other industries, covering computer vision safety, behavioral analysis, process monitoring, fraud analytics, and DeepTech consulting.

2003 — 2012

Founder & CEO · Digital-Clay

Technology company behind a no-code platform for building advanced analytical line-of-business applications and specialized business-silo solutions. Deployed across hundreds of business verticals for a diverse international customer base, with work spanning advertising, media, real estate, and financial services.

Credentials

Education, research, and societies

The research, academic, and society affiliations behind how POVA works.

MBA

Kellogg School of Management

Northwestern University — business administration and strategy.

PhD-level research

AI Agents and Expert Systems

Research into the design and behavior of autonomous AI agent architectures and knowledge-based expert systems.

PhD-level research

Computer Vision for Industrial Safety

Research into the real-world impact and reliability of CV-based safety monitoring in manufacturing and industrial environments.

PhD-level research

Applied Linguistics

Research in applied linguistics exploring the intersection of language, communication, and technology.

Society

Former Chairman — Mensa Regional Chapter

Led a regional chapter of Mensa, the international high-IQ society.

Society

Member — Prometheus Society

Member of the Prometheus Society, a high-IQ organization for individuals scoring at or above the 99.997th percentile.