Portfolio

MOBLUEHQ builds AI verification infrastructure — systems that prove how an AI result was produced, and where. We are building toward running more of that work on ordinary machines instead of hyperscaler data centers. Our first products release soon; our research spans the regulated industries where a wrong answer is expensive.

Also releasing with blueMonster

Patent portfolio. Our verification, distributed-compute, and provenance methods are protected by multiple patent-pending filings.

Areas of interest & research

Healthcare AI Verification

Proving that clinical and diagnostic AI followed an auditable, defensible process — for settings where an unverifiable answer cannot be used.

Research area

Financial AI Verification

Evidence and provenance for AI used in credit, risk, and settlement — where regulators and counterparties demand a checkable trail, not a black box.

Research area

Legal AI Verification

Auditability for AI in contracts, disputes, and compliance — process integrity a court or opposing party could independently validate.

Research area

Manufacturing AI Verification

Trustworthy autonomy for industrial control and inspection — where an unverified action changes the physical world and cannot simply be undone.

Research area