AI systems · Web · Mobile
Anta AI Studio builds the whole thing: the system that reasons, the interfaces people actually use, and the measurement that proves it works. One team, from discovery to production.
01 — What we build
Designers, engineers, and the AI team are not separate companies here. That is why what arrives at the end is a working system rather than a presentation about one.
The hard part was never the model. It is the system around it — which tools it may call, when it hands off to a person, where an answer came from, and how accuracy gets measured. We design the silence as carefully as the speech.
Assistants wired to your own data, for customer support, internal operations, and pre-sales. Not free-text generation — defined tools, and every answer returned with the record it came from. Web, mobile, messaging, and internal panels share one agent layer.
Dashboards, portals, internal tools, and customer-facing products. Interface design and engineering run in the same sprint, so what gets delivered is a working screen rather than a design file. Integration with the systems you already run is part of the job, not a second phase.
iOS and Android, built for people who are not sitting at a desk: offline queues, voice input, and sync that survives a bad connection. Store submission, release management, and crash monitoring are ours.
02 — What we build it for
Products that ship to the App Store and Play Store — onboarding, subscriptions, push, review process, and the release cadence after launch.
Applications shaped around one sector's actual workflow rather than a generic template bent to fit it. Logistics, healthcare, retail, manufacturing.
Admin panels, operations consoles, and back offices. Role-based access, audit trails, and reporting come as standard, not as change requests.
Software your own team lives in all day. Usually the highest return in the building, and usually the last thing anyone gets around to.
Where your customers check status, submit requests, and stop phoning your team to ask questions a screen could answer.
A layer over the systems you already run, so you get the benefit without replacing anything that currently works.
03 — In practice
04 — Stack
Model layer to store listing, one team carries all of it. The stack gets chosen per project — we do not have a favourite framework we need you to buy.
Working with something not listed here? It is very likely we have shipped against it, or can read our way in within a week.
05 — How we work
We collect the real questions and look at the real data. Feasibility, scope, and the parts nobody has thought about yet. It ends in a written roadmap and a number.
The system layer first, then the interfaces, then the evaluation set that keeps them honest. A pilot with real users starts before the eighth week is over.
Weekly reports, regression runs, and a handover document. We stay until your own team can take it, and the architecture is theirs when we leave.
06 — Start
A paragraph is enough. We reply with what we would do first, and what it would cost to find out whether it works.
info@antaaistudio.com