InventScale is an AI/ML consulting practice for teams shipping models into places where a silent failure is expensive — production inference, security-critical infrastructure, and systems nobody's watching closely enough. Our work is grounded in published research, not slide decks.
Not a menu of buzzwords — these map to the actual problems that land on our desk, from founders who need something built to enterprises who need to know if something's already broken.
We instrument your models in production so silent behavioral drift, poisoning, and backdoors show up as a signal instead of a support ticket.
Native Rust and C++ inference runtimes for teams who've outgrown Python in the hot path — built by engineers who've shipped this at production scale.
Static analysis and formal-methods-adjacent review for smart contracts, ML pipelines, and security-critical code — the same rigor as certificate and PKI work at scale.
We don't arrive with a blank whiteboard. These are working systems we've built, published, and — in most cases — put into someone's production path.
A behavioral integrity monitoring SDK for PyTorch models — detects drift and tampering by watching how a model behaves, not just what it outputs.
A conditional Mahalanobis detection engine modeling P(Z|S) instead of unconditional anomaly scores — catches backdoors, label-flip, and gradient-conflict attacks that norm-based detectors miss.
A static analysis platform for Ethereum smart contracts, built to surface vulnerability patterns across the deployed contract landscape at scale.
A C++23 Earley parser engineered for thread safety and parallel traversal — the kind of infrastructure work that underlies everything above it.
InventScale is small by design. When you engage us, you're working directly with the person who did the research — not a layer of account management between you and the work.
PhD in static program analysis from the University of Cambridge, supervised by Dr. Alan Mycroft. Roughly nine years at Microsoft Redmond working on PKI and certificate security, followed by ongoing research in program analysis, ML security, and blockchain — before moving into consulting full-time.
Supervised by Dr. Alan Mycroft — the analytical grounding behind every audit and verification engagement InventScale takes on.
Nine years in industry security engineering, resulting in 5 US patents and the production instincts that separate research code from something you can ship.
Ongoing academic research across the areas InventScale draws on — 220+ citations across 19+ publications.
A track record with independent clients, not just institutional ones — proof this holds up outside academia too.
Most engagements start with a short technical conversation, not a sales call. Bring the actual problem — a model that's drifting, a runtime that's too slow, a contract that needs an audit — and we'll tell you plainly whether we're the right fit.