Company
The team building HD Trust.
Hudson Data builds HD Trust— session-trust intelligence for the AI-fraud era — and the broader Centurion fabric around it. We've spent the last decade building AI/ML for credit, fraud, and trust at production scale, inside the books of leading US banks, carriers, and fintechs. That work is what the product runs on.
Leadership
The people doing the work.
Menish Gupta
CEO & Founder
Has spent two decades on the hard parts of risk and fraud — building underwriting and fraud systems for top US banks, insurance carriers, and fintech lenders. Started Hudson Data on a thesis the industry kept proving correct: credit and fraud aren't separate decisions, and the teams that treat them as one win on both approval rates and loss rates. Centurion is the platform he wished he'd had each time he built one of these systems from scratch.
Ankur Malik
Chief Technology Officer
Runs engineering across Centurion. His background is in the part of the stack most ML teams hand-wave through — distributed graph engines, low-latency serving infrastructure, real-time feature pipelines, and the on-call rotations underneath every model in production. That's why ML Graph runs at decision time across millions of entities, and why HD Trust scores sessions live at the moment of decision rather than in tomorrow's batch review.
What we believe
Principles that shape the work.
Protect customers and the institution — both, at the same time. AI-era fraud targets both. The defense has to too. We don't treat customer-targeted fraud as someone else's problem.
Three-axis decisioning beats single-axis fingerprinting. WHO is operating, WHAT device and runtime they're using, and HOW the session connects — three independent classifications catch what device-only platforms architecturally cannot. The threats that have actually changed in the last 18 months are the ones our architecture was already built for.
Decision excellence is the product. Headline model accuracy is a vanity metric. What matters is the quality of decisions in production — approval rates, fraud-loss rates, false-positive trade-offs, override patterns, customer-protection metrics.
Forward-deployed delivery is how it ships. Systems this consequential aren't self-installed from a docs page. Senior practitioners integrate them into your production stack, operate alongside your team, and stay accountable to the outcome.
Production from day one. Every model and strategy ships with versioning, monitoring, rollback, and audit. The deliverable is the running system — not the deck.
Core values
The operating principles behind the work.
Trust
We sign MSAs, BAAs, and DPAs. We earn the right to handle the data we touch — and we treat your audit trail like our own.
Reliability
The system in production is the deliverable. Every model and strategy ships with monitoring, rollback, and runbooks.
Transparency
Decision excellence is the KPI. The platform reports honestly on what it's doing — including when it's wrong.
Learning
Adversaries adapt. Models drift. Decisions get re-examined under new policy. The platform — and the team — are built to keep up.
Innovation
Pre-built recipes are a starting point, not a ceiling. Each engagement extends the platform with the next thing nobody's seen before.
Safety
Regulated deployments. SOC 2 Type 2. Per-org isolation. The default posture is locked-down — we open up only what's required.
Careers
Build credit and fraud systems that touch billions in decisions.
Small team. Senior craft. Production from day one. We hire across data science, engineering, design, sales, and customer success — in the US and India.
Where we work
Hybrid by design.
United States
US headquarters. Customer-facing engineering, product leadership, and our AI/ML research bench. Most engagements are led from here.
Gurugram, India
Engineering and data science delivery, based in Gurugram (Delhi NCR). Strong bench across data engineering, MLOps, and platform — with extended overlap hours for global clients.
Security & compliance
SOC 2 Type 2 certified.
Annual audit across security, availability, and confidentiality. Contractual and regulatory requirements are scoped per engagement and documented during security and legal review.
The applicable service boundary and customer responsibilities are documented during security review so public claims stay aligned with the current audit scope.
SOC 2 Type 2
Annual audit · security · availability · confidentiality
Enterprise contracts
MSA, BAA, DPA, vendor security reviews
Regulated deployments
Fintech, banking, insurance, healthcare
Start the conversation