AI solutions for enterprise

AI that fits the business you already run.

We design and build custom AI for enterprises in manufacturing, healthcare and beyond, on top of the systems you have today. Your ERP, hospital software and spreadsheets stay. The manual work around them goes.

Explore what we build

Manufacturing · Healthcare · Finance · Logistics · Retail

PROJECT BRIEFExample
CLIENT
Multi-plant auto-parts manufacturer, 900 staff
PROBLEM
Line inspectors log defects on paper; quality reports reach managers two days late
WE BUILT
Camera-based defect detection plus a daily quality summary on WhatsApp and email
FITS INTO
Existing line cameras and their ERP, with nothing replaced
  1. Week 1Discover
  2. Week 2–3Prototype
  3. Week 4–8Build
  4. Week 9Live

What changed: defects are logged as they happen, and managers see the day's quality picture the same evening.

Illustrative example of how a project fits into existing systems

Why most enterprise AI stalls

Most companies have tried AI. Few have it running in daily operations. The same three things get in the way.

01

Pilots that never reach production

A demo impresses in a meeting, then stops when it meets real data, real users and real approvals.

02

Systems you cannot replace

Your ERP, hospital software and accounting tools run the business. Any AI has to work with them, not around them.

03

Data spread everywhere

The information you need sits in databases, Excel files, scanned PDFs, email and WhatsApp.

What we build

Six kinds of AI system, combined to fit the problem. The same building blocks work across industries, which is how we deliver quickly in each one.

AI assistants and chatbots

Assistants on WhatsApp, your website or internal tools that answer questions, take requests and hand off to your team.

Customer support · Staff help desk · Dealers

Document AI

Read invoices, claims, contracts, reports and forms, pull out the data and send it where it is needed.

Extraction · Classification · Search

Workflow automation and agents

Let AI handle the repetitive steps between your systems, with people approving what matters.

ERP · CRM · Email · Sheets

Predictive analytics

Forecasts and early warnings from the data you already collect, delivered as reports and alerts people act on.

Demand · Inventory · Maintenance

Computer vision and inspection

Use cameras and images to spot defects, count stock, read labels and check safety.

Quality · Safety · Stock

Custom AI apps

Web and internal apps built on large language models, connected securely to your own data and systems.

Knowledge bases · APIs · Integrations

Industries we work in

We go deep in manufacturing and healthcare, and bring the same method to any industry with repetitive work in documents, messages and data.

Manufacturing

From the shop floor to the owner's phone

  • Production, dispatch and stock reports on WhatsApp from Tally or ERP data
  • Visual defect inspection from existing line cameras
  • Demand and inventory forecasting to cut stock-outs and dead stock

Works with Tally, SAP Business One, Excel, MES and PLC exports

Healthcare

Less paperwork for clinical and admin teams

  • Drafts of discharge summaries and clinical notes for doctors to review
  • Reading insurance claims and pre-authorisation documents
  • Patient query and appointment assistant on WhatsApp and web

Works with hospital and clinic software, scanned records and WhatsApp. Supports staff; never makes diagnoses.

AlsoFinance and accountingLogisticsRetail and distribution

Working in another industry? The same method applies. Tell us the problem.

How we work

We follow the same four steps on every project, from understanding the process to running it day to day.

  1. Step 1

    Discover

    We learn your process, review your data and systems, and agree on one result to measure.

    First call, then about 1 week
  2. Step 2

    Prototype

    A working version on your real data, so you can see it before committing to the full build.

    1 to 3 weeks
  3. Step 3

    Build

    We build the production version, connect it to your systems and train your team.

    Usually 4 to 12 weeks
  4. Step 4

    Support

    We monitor it, fix issues and improve it as your needs change.

    Ongoing, optional

What this looks like in practice

A few illustrative examples of everyday problems AI can solve inside the systems companies already run.

Manufacturing

Daily plant report on WhatsApp

An assistant that reads Tally and production sheets each evening and sends owners and plant heads a short summary, with answers to follow-up questions.

Healthcare

Insurance claim document reader

Document AI that reads claim forms, bills and discharge papers, fills the insurer's fields and flags missing items before submission.

Finance

Invoice and bank reconciliation

An agent that matches invoices, payments and bank lines across systems and sends only the exceptions to the accounts team.

Our principles

How we approach every project, whatever its size or industry.

No rip and replace

We build around the software you already use, so your team does not have to change how it works.

Clear scope first

You approve a written scope, timeline and success measure before any build starts.

Your data stays yours

NDA before discovery, the least access we need, and your data is never used to train models.

You own the work

The code, models and setup we build for you belong to you.

Security basics on every project: role-based access, encrypted data in transit and at rest, audit logs, and deployment on your cloud or ours. We design each project around India's DPDP Act and your own security and industry requirements.

Technology we work with

We choose tools for the problem, not the other way round, and keep everything running on infrastructure you control.

Language models

Commercial and open-source large language models for assistants, document understanding and agents, with retrieval over your own data.

Computer vision

Object detection, defect classification and text reading from cameras, scans and photos.

Data and forecasting

Python, SQL and time-series models that turn ERP, sensor and spreadsheet data into forecasts and alerts.

Integration

ERP and accounting systems, hospital software, email, WhatsApp Business and REST APIs, connected without replacing anything.

Deployment

AWS, Azure, Google Cloud or your own servers, with monitoring and access control from day one.

Human in the loop

Review and approval steps wherever a decision matters, so people stay in charge of the outcome.