Custom AI Software

Bespoke AI Models

AI trained on your data, for your problem — not a generic API call.

Off-the-shelf models don't understand your domain. We train custom AI models on your proprietary data — whether it's classification, prediction, NLP, or generative AI — and deploy them into your production environment with full ownership.

See it in action
The problem

Sound familiar?

These are the pain points we hear from businesses every week — and exactly what we build to fix.

Generic AI APIs give mediocre results on specialized domain data.

Competitors can't replicate what you build on proprietary models.

No internal ML expertise to go from experiment to production.

Model performance degrades and no one monitors it.

What's included

Everything you need, nothing you don't

A complete, production-ready delivery — not a half-finished prototype.

Problem framing and feasibility assessment
Data audit and preparation pipeline
Model selection, training, and evaluation
Hyperparameter tuning and benchmarking
Deployment (API, edge, or embedded)
Model versioning and experiment tracking
Performance monitoring and drift detection
Documentation and knowledge transfer
How it works

From first call to live deployment

A clear, collaborative process — so you always know what's happening and what's next.

STEP 01

Discovery Call

We understand your business, customer questions, pain points, and success metrics.

STEP 02

Design & Scripting

We map conversation flows, integrations, and qualification logic before writing code.

STEP 03

Build & Train

We build the solution and train it on your real content, FAQs, and business rules.

STEP 04

Test

We run real-world scenarios and edge cases with your team before anything goes live.

STEP 05

Deploy & Support

We launch, monitor performance, and tune based on real usage — with ongoing support available.

Built with
PyTorchHugging FaceMLflowDocker / Kubernetes
Use case

Real project, real results

Case study

Custom Demand Forecasting Model

Trained a proprietary forecasting model on 3 years of retail data — outperforming generic solutions by 22% on accuracy, directly improving inventory decisions.

Pricing indication

Starting from ₹2,00,000 — scoped by data complexity, model type, and deployment needs.

FAQ

Common questions

Straight answers — no sales fluff.

POC typically 4–8 weeks; production model 2–4 months.

Ready for AI built specifically for you?

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