About Us
Turning expensive experiments into compounding strategic assets
Who we are
Most AI consultancies sell potential. We solve the execution problem.
thinkingML is a research-first advisory combining PhD-level research depth with hands-on production experience. We bring that rare combination of understanding what's theoretically possible and knowing what actually survives operational constraints.
We don't believe in AI magic. We believe in disciplined engineering, rigorous governance, and systematic capability building. Our work provides the architecture, oversight, and strategic frameworks that turn ambitious AI initiatives into defensible competitive advantage.
Who you are
You're a C-suite executive, board member, or technical leader where AI has moved from experiment to strategic imperative. You're responsible for translating investment into measurable business outcomes.
You're past the basics. Your pilots demonstrate capability. Your challenge now is execution: escaping pilot purgatory, making critical build vs buy decisions, and establishing governance that withstands scrutiny. You understand the primary risks are organisational and operational, not technical.
Research-Driven by Design
True capability requires deep mastery of both the machine and the market. Our work operates at the bleeding edge of this intersection: from engineering LoRA implementations for 16*H200 clusters to processing over a million complex loan notices weekly.
We don't apply generic models to specific problems. We build systems grounded in the physics of your industry: anomaly detection in trade surveillance, gap analysis in FX pricing and booking systems, and contract layering in reinsurance. We understand that in Life and General insurance, "close enough" is a failure state.
We translate advanced research into specific industrial advantage, designing systems that respect the complexity of your domain because we have already solved for it.
Our Capabilities
Architecture That Scales
Production ML isn't about accuracy on test sets. It's about surviving drift, degradation, and edge cases your training data never saw. We design systems with monitoring that detects when models decay, fallback logic that prevents catastrophic failures, and the operational discipline required to run AI reliably at scale.
Read more →
Governance You Can Defend
Your board asks: "How do we know this is safe?"
We build the answer: audit trails, explainability frameworks, and risk controls that satisfy reviewers, auditors, and internal and external regulators, not just data scientists.
Read more →
From Prototype to Production
The gap between "it works on my machine" and "it runs reliably in production" destroys most AI projects. We bridge that gap with MLOps discipline, deployment automation, and the engineering rigor that turns experiments into operational systems.
Read more →
Evidence Over Enthusiasm
Vendors promise transformative results. We validate those claims against your data, constraints, and business logic.
Independent assessment that protects you from expensive mistakes.
Read more →
AI That Fits Your Business
Most implementations force your processes to conform to the model. We reverse that: mapping operational reality to AI capability, identifying genuine automation opportunities, and avoiding the "solution looking for a problem" trap.
Read more →
Capability Assessment
You're being sold agentic AI, reasoning models, and autonomous systems. We help you separate genuine capability from marketing hype, identifying where these tools create value and where they create risk.
Read more →
Strategic Architecture Decisions
Should you build, buy, or rent? The answer determines competitive positioning and long-term costs. We provide the capability and economic frameworks to make these decisions defensibly, avoiding vendor lock-in and technology dead-ends.
Read more →
Cultural Readiness
Technology is the easy part. Changing how your organisation thinks about probabilistic systems, accountability for AI decisions, and managing non-deterministic outcomes: that's the hard part. We help build the organisational maturity required for
Production AI to thrive.
Read more →