Company

Building the future of verified synthetic data.

RadMah AI is a synthetic-data infrastructure company focused on deterministic, verifiable data generation for industrial, security, and enterprise applications.

◆ Our mission

Synthetic data should be trustworthy.

Not just statistically similar — but provably deterministic, cryptographically sealed, and independently verifiable. RadMah AI exists to make every synthetic dataset auditable, reproducible, and enterprise-ready.

◆ Our values

Four decisions that shape everything we ship.

Determinism first

Deterministic generation is the default: same input, same output, same evidence — guaranteed by cryptographic proofs and seeded RNG streams. Opt-in LLM-assisted generation is explicitly stamped non-deterministic in its evidence, so you always know which guarantee applies.

Transparency

No black boxes. Every generation includes a cryptographically linked evidence bundle that proves privacy, utility, and reproducibility. Open audit trails for every action.

Industrial focus

Purpose-built for industries where data integrity matters — energy, manufacturing, defense, healthcare, and critical infrastructure.

Security by design

Tenant isolation, write-only secrets, encrypted storage, and a full audit trail are not add-ons — they are foundational architecture decisions.

◆ Timeline

How we got here.

2024

Company founded with a mission to bring deterministic synthetic data to industrial applications.

2024

Mock Data launched — instant synthetic data from natural-language descriptions.

2025

Synthesize released — the flagship trained-synthesis engine reaching 95.69% benchmark fidelity on a standard tabular benchmark.

2025

Virtual SCADA and ICS Security simulators added with 67 CI-gated plant templates and 32 engine-implemented MITRE ATT&CK for ICS techniques.

2025

AI Orchestrator launched — a conversational interface for multi-step generation workflows.

2026

Evidence Bundles v2 with cryptographic hashing and sealing.

Join the team.

We're building infrastructure for the next generation of synthetic data. If you're passionate about deterministic systems, industrial applications, and developer tools — we want to hear from you.