Modulai

The most technically specific portfolio in this register, and the one where a reader with a machine-learning background learns the most.

The NovoNordisk work is a multi-agent retrieval system for clinical trial evidence that retrieves, analyzes and returns results in the right format while keeping traceability—the case index names the client, though the study itself describes it as one of Europe's largest pharmaceutical companies. For an unnamed American software company it built a Bayesian hierarchical logistic regression for small-business credit risk: a model choice, stated as such, in a market where most firms write 'AI-powered'. Fuelmatics needed a robotic arm to find a car's fuel lid in real time, so the detector was optimized to run on CPU rather than assuming a GPU budget. Optilogic got a custom agent embedded in its own supply-chain platform, turning plain language into SQL for users who would otherwise queue behind technical staff.

The published case index runs past a dozen engagements, and the engineering blog carries the same register: how to evaluate retrieval systems with synthetic data and an LLM judge, how a deep-research multi-agent system is built.

The gap is outcomes. Case after case describes what was built and stops, so the portfolio proves capability and never impact. Ask each reference what changed.