Services
AI that earns its keep in production
Custom models, natural language processing, computer vision and intelligent automation — scoped around a business problem, trained on your data, and deployed where the work actually happens.
The gap between an AI demo and a system your team relies on is engineering: data pipelines, evaluation, deployment and monitoring. We build across that whole gap, so the model that impressed in a proof of concept still performs a year into production.
We start from the business problem — hours lost to manual document handling, decisions waiting on reports, inspections that don't scale — and work back to the simplest technique that solves it. Sometimes that is a large language model; sometimes it is a well-tuned classifier.
- 4-step engagement model
- Scoped in writing
- Delivered with Himtele Infomatics
What’s included
Custom machine-learning models
Forecasting, classification, scoring and anomaly detection models trained on your data, with honest evaluation before anything goes live.
Natural language processing
Document extraction, summarisation, search and conversational interfaces over your own content — in the languages your business operates in.
Computer vision
Detection, counting, inspection and OCR over images and video streams, tuned for the real conditions of your sites rather than benchmark datasets.
Intelligent automation
ML models wired into your existing processes and tools, so routine decisions and document flows run without a person in the loop — with escalation paths for the cases that need one.
Deployment & MLOps
Versioned models, monitored pipelines and retraining routines, so accuracy is maintained instead of quietly decaying.
How an engagement runs
- 1
Discover
We define the business problem, the data available and what a successful outcome measurably looks like.
- 2
Prove
A short proof-of-value phase tests feasibility on your real data before you commit to a full build.
- 3
Build
The model, its data pipeline and its integration are engineered and evaluated against the agreed success measures.
- 4
Deploy & maintain
Production deployment with monitoring and retraining, plus knowledge transfer to your team.
Technology partner
Delivered in technology partnership with Himtele Infomatics. Arya Comnet owns the client relationship, the contract and the outcome; Himtele Infomatics brings deep practice leadership and an experienced engineering bench. You get one accountable local partner with specialist delivery capacity behind it.
How the partnership works →Frequently asked questions
Still unsure? Call +91 40 6633 8266
Do we need huge amounts of data to start?
Less than you may think. Pre-trained models can be adapted to many tasks with modest datasets, and the discovery phase tells you honestly whether your data is sufficient before you spend on a build.
How is our data handled during a project?
Under an NDA, within agreed environments — your infrastructure or an isolated project environment — with access limited to the engagement team and removal or handover of data at the end.
Will you build on large language models or train something custom?
Whichever the problem justifies. We prototype with the fastest viable approach, compare cost and accuracy, and recommend the option that holds up in production — not the most fashionable one.
Other services
Have a process that needs intelligence?
Describe the problem — documents, predictions, inspections, automation — and we will tell you what is feasible and what it would take.