Build · Engineering

AI that earns its place in your daily operations

We add AI where it saves real hours or prevents real losses — reading documents, predicting breakdowns, forecasting demand, answering routine questions — and connect it to the systems you already run.

AI & Machine LearningSofient
Focus
Applied AI, not demos
Data
Your data stays yours
Models
LLMs, ML and computer vision
Delivery
Pilot first, then scale
What we deliver

AI & Machine Learning services

Practical AI: forecasting, document reading, chat assistants, vision.

01

AI assistants and chatbots

Website and WhatsApp assistants that answer admissions, product or support questions from your own content.

02

Document AI

Read invoices, forms, prescriptions and case files; extract fields; route them into your ERP automatically.

03

Predictive maintenance

Use machine sensor and breakdown history to flag equipment likely to fail before it stops a line.

04

Demand and inventory forecasting

Forecast sales and material needs to cut stock-outs and excess inventory in MRP planning.

05

Computer vision

Camera-based counting, defect detection and safety-gear checks on production lines.

06

Analytics and insight

Natural-language questions over your business data, so managers get answers without waiting for an MIS report.

Where it fits

Typical projects

  • Admission enquiry assistants
  • Visual quality inspection
  • Breakdown prediction for critical machines
  • Invoice and GRN data capture
  • Sales forecasting for MRP
  • Lead scoring for marketing
Tools & technology

What we work with

  • Python
  • PyTorch
  • scikit-learn
  • OpenCV
  • LLM APIs
  • RAG pipelines
  • Vector databases
  • FastAPI

We choose technology for long life and easy hiring, not trends, and we document it so your own team can take over if you choose.

Process

How a project runs

  1. Discover

    We sit with the people who will use the software — on the shop floor, at the front desk, in the accounts room — and write down how work actually happens today.

  2. Design

    Workflows, screens and data model are agreed on paper and in clickable prototypes before code is written, so surprises surface early and cheaply.

  3. Build

    Two-week agile sprints with a working demo at the end of each one. You see progress every fortnight, not at the end.

  4. Deploy

    Data migration, user training in Hindi, Punjabi or English, and a supervised go-live on your servers or the cloud.

  5. Support

    Annual maintenance, version upgrades and a named support contact. Most of our clients have been with us for years.

FAQ

Frequently asked questions

Do we need a lot of data to start with AI?
Not always. Assistants and document AI can work from your existing documents. Forecasting and predictive maintenance need history, and we check that during a short feasibility study.
Is our data safe with AI tools?
We design every AI feature so your data is processed under your control, with private deployments where required and no use of your data to train public models.
How do you measure whether AI is working?
Every pilot starts with one measurable target — hours saved, error rate, downtime avoided — agreed before we begin.
Talk to an engineer, not a salesperson

Tell us what slows your team down. We’ll show you what software can do about it.

Free discovery call. Written scope and quote within a week. Mon–Fri, 10:00 am – 6:00 pm IST.