Algobit — AI & Software Product StudioIndia → Worldwide

BUILTTO SHIP

Algobit is an AI and software product studio. We build AI products — agents, retrieval systems, assistants — and the software that runs startups, hospitals, and schools. Senior engineers, working directly with you, with no agency layer in between.

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01 / What we build

Four things
we build. One
way of working.

AI products, and the software that runs startups, hospitals, and schools. The problems could not be less alike; the method — senior engineers, direct contact, shipped in weeks not quarters — stays exactly the same.

01AI Products↗

We build AI products — agents, retrieval systems, assistants, and document pipelines — as products, with evaluation and guardrails behind them. Standalone, or added to software you already run.

AI agent developmentRetrieval-augmented generation (RAG)AI assistants and copilotsDocument AI and extraction pipelines

02Startups↗

You need the product in front of users, not another discovery phase. We scope hard, build in the open, and hand you something you can demo, raise on, or sell with.

MVP developmentWeb application developmentMobile app developmentFounding engineering support

03Hospitals↗

Patient portals, appointment flows, and management systems designed around how a clinic actually runs — not around a template that assumes everyone works the same way.

Hospital management system (HMS) developmentPatient portal developmentAppointment and OPD scheduling systemsElectronic medical records interfaces

04Schools↗

Admissions, parent and student portals, fee tracking, and the public site — replacing the spreadsheet-and-PDF era with something staff and parents will actually open.

School management system (SMS/ERP) developmentAdmissions and enquiry managementParent and student portalsFee management and tracking

02 / Inside the AI workScroll →

A-01

AI Agents

Agents that use real tools against real systems, scoped to one job, with a human approving anything irreversible.

A-02

RAG & Retrieval

Answers grounded in your own documents, with citations back to source and an honest “I don’t know” when retrieval comes up short.

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A-03

Conversational AI

Support and internal assistants that know your product, and hand off cleanly to a person when they should.

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A-04

Document Intelligence

Extraction and classification over the messy reality of scans, forms, and decade-old PDFs.

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A-05

LLM Engineering

Context architecture, model routing, caching and streaming — built to a cost and latency budget, not a demo.

A-06

Evals & Guardrails

Test sets, regression runs, and refusal behaviour, so quality is measured before a customer measures it for you.

03 / How we build AI

Shipped,
not demoed.

Most AI work dies somewhere between the demo and production. These are the standards we hold the AI side of the studio to — and fair questions to put to anyone you are thinking of hiring for it, us included.

Evaluated

Every AI feature ships with a test set built from real cases. Prompt and model changes are measured against it before release — not after a customer notices the regression.

Grounded

Answers cite the source they came from. When retrieval turns up nothing solid, the system says so instead of inventing something plausible and confident.

Budgeted

Cost per request and p95 latency are written down as requirements at the start. Model choice follows the budget, rather than the budget discovering the model choice later.

Supervised

Anything irreversible — money, records, messages that go to your customers — is drafted by the model and confirmed by a person before it happens.

Fails safely

Models are sometimes wrong, often slow, and occasionally down. Every path has a defined fallback, so the product degrades rather than breaks.

04 / Method

Four steps.
No surprises
in between.

Discover

One working session to pin down the real problem behind the feature list.

Design

Screens and data model sketched together, so nothing gets built twice.

Build

Shipped in small reviewable pieces. You see progress weekly, not at the end.

Launch

Deployed, documented, handed over — and supported well past day one.

05 / Selected work

Systems
in production.

Four systems across AI and the sectors we know best. Client names are withheld under NDA, and where work predates Algobit it says so — the systems, and the thinking behind them, are shown in full.

01 / AI — Customer Operations↗

Atlas

AI Support Agent & Knowledge Platform

A support team answering the same questions hundreds of times a week, and a chatbot that answered confidently but wrongly. We replaced it with a retrieval agent that cites its sources and knows when to stop.

Retrieval (RAG)Tool-using agentEvaluation suite

02 / Startup — Logistics↗

Pilot

Dispatch & Operations Platform

A last-mile delivery startup running dispatch on spreadsheets and WhatsApp. We replaced the whole loop with one operations platform and a driver app.

Web platformDriver mobile appReal-time dispatch

03 / Healthcare↗

Meridian

Hospital Management System

A multi-specialty hospital running OPD, records, and billing across three disconnected systems. We consolidated them and gave patients a portal that actually works on a phone.

OPD & schedulingPatient recordsBilling

04 / Education↗

Cohort

School Management & Parent Portal

A multi-campus private school running admissions on paper and fees on spreadsheets. We built the system staff run the school on — and the app parents actually open.

AdmissionsAttendance & gradingFee management

06 / Get in touch

LET'S BUILD

Tell us what you're trying to build and we'll come back with a straight answer on scope, timeline, and whether we're the right people for it.

hello@algobit.dev