The team behind loh.ai

Three co-founders building automated inspection for metal manufacturing, with backgrounds in computer vision, automotive software engineering, mathematics and finance.

Why we built loh.ai

The problem

Most metal parts are still checked by eye, by hand or one point at a time on a CMM. It is slow, results vary from one inspector to the next, and small surface defects slip through. Many factories already 3D-scan their parts, but turning millions of points into a pass, a fail and a report is still manual work.

How we're solving it

loh.ai reads the scan you already take. It measures every point against the part itself, finds and grades each surface defect, and writes the inspection report in seconds. The result is the same whoever runs it.

Why it matters to us

A missed defect in a metal part means scrap, rework or, at worst, a part that fails in service. We started loh.ai to catch those defects earlier, waste less material and make the parts people rely on safer.

Gurjeev Singh Nagpal

Co-founder

An engineer and entrepreneur focused on applying AI and computer vision to real-world manufacturing problems.

Gurjeev's work centres on scalable inspection systems built on visual and 3D data that run reliably in production. He founded loh.ai to move quality control beyond manual inspection and rigid rule-based automation.

Kishaan Jeyarajah

Co-founder

A background in mathematics, statistics and business, with a focus on data-driven strategy and financial planning.

Kishaan turns technical work into a commercially viable, scalable business. He leads financial strategy, market positioning and investor relations.

Sree Jaddu

Co-founder

Four years as a software engineer at Jaguar Land Rover, building automation tools and data pipelines and diagnosing telematics faults across global fleets.

Sree is finishing an MSc in Software Engineering at Oxford and owns the technical roadmap, with a focus on computer vision that holds up in production as well as in the lab.