Custom AI Models, Built in Chandigarh the Way We Build Our Own
We run every model type we ship — ML, deep learning, NLP, computer vision, generative AI, reinforcement learning — inside our own ~300-person operation first: InterviewGod screens our hires, Vikaas runs our outreach, Vidya trains our team.
We do not sell you software we hope works. We sell you the software we depend on.
Book a Discovery Sprint →
01 · Proof · Production Numbers
We do not sell software we hope works. We sell the software we depend on.
Pilot theater
- Demo works in the room, stalls after handoff
- Reported metrics, never load-tested at scale
- No one inside the vendor runs it daily
Production reality
- Same models run our own ~300-person operation
- Deployed for 30+ enterprise clients since 2016
- Measured in production, not in a sandbox
Eight model types. One production track record.
We run every model type below inside our own operation first — then we build yours. The same production standard, not a pilot.

"We do not sell you software we hope works. We sell you the software we depend on."
Machine Learning Models
Forecasting, classification and regression models trained on your production data.
Deep Learning Architectures
Neural networks built for pattern recognition too complex for classical ML.
Natural Language Processing
Text extraction, classification and generation tuned to your domain vocabulary.
Computer Vision
Image and video models for defect detection, counting and visual inspection.
Generative AI
LLM-based systems and agents that draft, summarize and act inside your workflows.
Reinforcement Learning
Decision-optimization agents that improve against a defined reward signal over time.
MLOps & Deployment
Production infrastructure for serving, monitoring and retraining models without downtime.
Data Engineering & Pipelines
Pipelines that clean, label and version the inputs every model above depends on.
The same sequence, every time.
Six stages, run in order, on every engagement — the same sequence that moves models through our own 300-person operation before it ever reaches yours.
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01

Discovery Sprint
Scope the problem, the data, and the constraints inside your environment before a line of code is written.
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02

Data & Systems Audit
Map what exists, what's usable, and what's missing across your stack.
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03

Model Build
Build with the same ML, DL, NLP, CV, generative AI, and RL techniques running in our own operation today.
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04

Production Hardening
Tested against real load and real failure modes, not a demo dataset.
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05

Deployment
Shipped into your infrastructure, not ours.
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06

Ownership Handoff
Code, model weights, and documentation, transferred in full. No lock-in.

InterviewGod runs our own hiring
Deployed on our ~300-person team before it went to a single client — Vikaas covers outreach, Vidya covers upskilling.
Building since
Ten years of shipping production systems, not pilots.
Offices
Bengaluru, Chandigarh, Dubai, Cambridge, California.
Enterprise clients
Swiggy, Myntra, PhonePe, Indian Oil, HCL and others.
Production systems, running across industries most vendors only pitch.
Every engagement runs a production system, not a pilot — the same standard Banao holds for its own ~300-person operation.
Questions enterprise buyers ask before they sign
Answered plainly — receipts, not reassurance.

01How do we know this won't become another AI pilot that stalls?
We run our own ~300-person operation — hiring, outreach, upskilling — on the same models we build for clients. We do not sell software we hope works. We sell the software we depend on.
02Have you built custom AI models for enterprises like ours before?
Yes — 30+ enterprises since 2016, including Swiggy, Myntra, PhonePe, Indian Oil and HCL. Your engagement starts the same way theirs did: a scoped Discovery Sprint.
03Who owns the model once it's built?
You do. Full IP, no lock-in — the model, the code and the pipeline are yours to run, retrain or move at any time.
04What kinds of models can you actually build?
Machine learning, deep learning, NLP, computer vision, generative AI and reinforcement learning — the same 50+ model types running in our own operation today.
05How long before we see something working?
Weeks, not quarters. Engagements begin with a Discovery Sprint scoped to your data and environment before any build work starts.