Product Studio
A consulting studio that doesn't build its own products is guessing. These are ours — designed, engineered and shipped in-house, where every architectural shortcut becomes our problem rather than a client's.
In the studio
Both are AI-native rather than AI-decorated: the model work sits at the centre of what the product does, not bolted onto the side of it.
An AI-native wellness platform built by YGL.
Photograph a meal, get an honest macro breakdown. An AI nutrition, fitness and wellness platform with a vision pipeline that refuses to guess.
AI-powered short-form content intelligence.
Turns saved reels into a searchable library of structured, actionable notes — including Hindi and Hinglish audio that most tools drop.
Why we build our own
Client work is usually under NDA, and a new studio has no logos to show. Building our own products solves that honestly: the architecture, the trade-offs and the failure modes are all inspectable, because we made every one of those decisions ourselves.
When the vision pipeline returns a wrong number, it's our users affected and our problem to fix. That changes the design decisions you make — usually toward the boring, reliable option.
Evaluation harnesses, fallback chains, cost ceilings, store submissions, row-level security. These only get built when something has to actually run in production.
Every technique we recommend in a client engagement is one we've already had to make work, debug and pay for somewhere on this page.
On the numbers we don't show: neither product has publicly launched, so there are no user counts, revenue figures or growth charts on this site. Everything described is engineering that exists in the codebase.
Build with us
The same team, the same practices, applied to your product.