LatticeFlow

LatticeFlow AI empowers ML teams to build robust, high-performing AI models by automatically diagnosing and improving their data and models.

LatticeFlow AI empowers ML teams to build robust, high-performing AI models by automatically diagnosing and improving their data and models.

Visit website

latticeflow.ai http://latticeflow.ai

Milestones

Founded in 2020 Series A at $12M in 2022

Investment year

2022

Investment stage

Seed

Investment status

Portfolio

Deal team

Sam Hields

LatticeFlow AI empowers ML teams to build robust, high-performing AI models by automatically diagnosing and improving their data and models.

A major barrier to widespread AI adoption is that many models underperform once deployed in real-world conditions. LatticeFlow tackles this by identifying hidden issues in training data and model behaviour, enabling teams to build reliable, high-performing and production-ready AI applications. LatticeFlow also supports AI governance by helping organisations evaluate, document, and monitor model performance, safety, and compliance at scale.

News highlights

Why are we still building development teams like it’s 2020?

Why are we still building development teams like it’s 2020?

Twenty-five years ago, I could have written that same sentence and replaced “AI” with “the Web,” and forty years ago, “the personal computer.” This is not an article about needing to use Claude or other agentic AI tools; that is something you should be doing already. In this case, I’m talking about a fundamental restructuring of how software gets built and deployed.

Duleepa “Dups” Wijayawardhana

Venture Partner

Portfolio spotlight: Dreamfold

Portfolio spotlight: Dreamfold

Welcome to our portfolio spotlight series, where we highlight the teams behind some of the most ambitious technical companies. A company is only as strong as the people behind it, which is why we share the stories of the teams driving these disruptive innovations.

General Partner

What founders get wrong about speed and scale

What founders get wrong about speed and scale

Every founder faces the same question: how fast should you go? In conversation with our Venture Partner, Duleepa “Dups” Wijayawardhana, we explored why so many startups struggle to balance speed, quality and scale, and how to get it right (at least most of the time). As Dups puts it, for every rule there is an exception, and for every exception there is something to learn.

Duleepa “Dups” Wijayawardhana

Venture Partner