We build AI products
that ship.scale.earn.last.ship.
One LMS. Every institute walled off.
Each institute gets its own branded campus — courses, cohorts, tests and fees — on one shared platform. Isolation is enforced by row-level security inside Postgres itself, so one institute’s students can never surface in another’s dashboard, even if an API route is wrong.
Course material becomes searchable the moment it finishes uploading: by phrase through Meilisearch, by meaning through pgvector. The AI tutor answers from the institute’s own notes and points to the page it used, instead of inventing a syllabus.
AI that answers from your own data, cites it, and says so when it doesn't know.
The work your staff retypes between systems, done once, automatically.
Clean separation means your next developer isn't hostage to ours.
One institute, clinic or customer can never see another's data.
Every release tested and reversible, under written SLA.
Capabilities that scale.
The AI layer, the platform under it and the apps on top — designed, built and run by the same team.
What Actually Shipped
10 client, 9 studio. Across 18 sectors.
Brief to production on the dated builds: sites and focused tools. Platforms run longer.
Vitest unit suite and Playwright e2e, before it ships.
Systems Already Running
Blitzlearning
Blitzlearning
An AI-native LMS had to be sold to institutions that share nothing — one tenant seeing another's cohort is the end of the contract — while still feeling instant across a course library nobody wants to browse page by page.
IDYORA
IDYORA
Indian eating does not survive a calorie tracker designed around Western portions and packaged food, and a nutrition assistant that invents a dish is worse than no assistant at all.
Aero
Aero
A city-scale ride-hailing platform was carrying rides, drivers and payouts on a backend that could stall as a single unit: one blocked event loop took health checks, dispatch and booking down together, and the analytics everyone needed ran against the same live tables the riders did.
Alt Parser
Altacee
Commercial insurance submissions arrive as loss runs: hundreds of carrier-specific PDF layouts, most of them scanned tables, all of them re-keyed by hand by someone whose actual job is underwriting.
Structured Development Lifecycle
Discovery
We learn how your business actually runs — what makes money, what wastes hours, what breaks.
Planning
You get the scope, the price, and the date in writing before a line of code is written.
Design
Screens your staff and your customers can use without training, on the devices they already own.
Frequently Answered Queries
Who owns the built applications?
Upon final balance clearance, complete ownership rights of the codebase, custom designs, data models, and deploy assets transfer to your company.
Where does our data go when the AI features run?
Wherever you decide. By default we use model providers that do not train on API traffic, keep embeddings and documents in your own Postgres, and can run open-weight models on your infrastructure when data must not leave it.
"Your brief lands with the person who writes the code. Not a queue."
Meet the team →Ready to build something that lasts?
Tell us what you're building. We'll respond with a scoped plan, not a sales pitch.