Your in-house AI R&D studio

Daat Lab partners with ambitious teams to identify, validate, and build high-value AI opportunities that capture their unique approach to the market.

Three ways we create leverage

Adoption

Become AI-forward. We install a core toolkit, wire up connectors and analytics, and run an in-house AI resident with regular office hours.

Solutions

You have a problem — a data bottleneck, a faulty process. We come in and solve it with the right technology, end to end.

A three-month sprint, built to unearth real value.

The three stages aren't a menu to pick from at random — they're a path. We start by making your team fluent, solve a real problem to build trust, and end by uncovering what only becomes visible once AI is in your bloodstream.

Month 1

Discovery & Education

Install the core AI stack, identify high-value use cases, and define a clear implementation roadmap.

Month 2

Build & Deploy

Train your team, integrate the right platforms and partners, and ship working solutions.

Month 3+

Iterate & Innovate

Keep shipping, stay in residency, or go deeper on the product opportunity we uncovered together.

See the full process →

Selected work

Innovation
Retail property group

Replacing gut-feel leasing with ranked, data-backed tenant recommendations

We built a recommender engine using proprietary AI similarity analysis across tenant categories and local demographics — surfacing ranked candidates with rationale and replacing slow, relationship-driven decisions with consistent ones.

Read the case study
Solutions ×10
Consumer goods brand

An engine that generates product concepts and filters the weak ones before anyone starts

Built a system that creates net-new product concepts — descriptions and mockup imagery included — and immediately scores each against historical performance, market trends, and brand fit. Teams start with a ranked shortlist, not a blank page.

Read the case study

Let's find your highest-leverage move.

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