AI engineering for enterprise · Building since 20164 products · run on our own ops · 30+ enterprise clients
AI Model Development — Chandigarh

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 →
Free · 45 min · no obligation
200+Models in production
50+Model types shipped
99.5%Uptime, our own ops
flow diagram: a central "Banao model factory" node feeding three outbound arrows labeled InterviewGod (hiring), Vikaas (outreach), Vidya (upskilling), with a fourth arrow looping back labeled "same models, sold to clients" — line-art style, single accent-amber line weight on dark ground

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
200+models in production
99.5%uptime across live deployments
~300people at Banao running on these models daily
02 · What We Deliver

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.

wide interior photograph of Banao's own operations floor, engineers at monitors reviewing live model dashboards, documentary style, natural light

"We do not sell you software we hope works. We sell you the software we depend on."

200+models shipped to production
50+model types in active use
99.5%uptime across our own operation
01
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Machine Learning Models

Forecasting, classification and regression models trained on your production data.

02
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Deep Learning Architectures

Neural networks built for pattern recognition too complex for classical ML.

03
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Natural Language Processing

Text extraction, classification and generation tuned to your domain vocabulary.

04
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Computer Vision

Image and video models for defect detection, counting and visual inspection.

05
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Generative AI

LLM-based systems and agents that draft, summarize and act inside your workflows.

06
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Reinforcement Learning

Decision-optimization agents that improve against a defined reward signal over time.

07
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MLOps & Deployment

Production infrastructure for serving, monitoring and retraining models without downtime.

08
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Data Engineering & Pipelines

Pipelines that clean, label and version the inputs every model above depends on.

03 · How we deliver

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.

  1. 01
    minimal line icon of a magnifying glass hovering over a wireframe grid, scoping/discovery concept

    Discovery Sprint

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

  2. 02
    minimal line icon of stacked database cylinders with a small checkmark overlay, audit concept

    Data & Systems Audit

    Map what exists, what's usable, and what's missing across your stack.

  3. 03
    minimal line icon of a small connected node cluster resembling a neural network, model-building concept

    Model Build

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

  4. 04
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    Production Hardening

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

  5. 05
    minimal line icon of an arrow exiting an open bracket, shipping/deployment concept

    Deployment

    Shipped into your infrastructure, not ours.

  6. 06
    minimal line icon of a single key changing hands, ownership-handoff concept

    Ownership Handoff

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

04 · Recent Work
InterviewGod completed-interview scorecard: overall score dial, strengths and areas-for-improvement lists, and a per-skill performance breakdown

InterviewGod runs our own hiring

Deployed on our ~300-person team before it went to a single client — Vikaas covers outreach, Vidya covers upskilling.

2016

Building since

Ten years of shipping production systems, not pilots.

5

Offices

Bengaluru, Chandigarh, Dubai, Cambridge, California.

30+

Enterprise clients

Swiggy, Myntra, PhonePe, Indian Oil, HCL and others.

05 · Client Success Stories

Production systems, running across industries most vendors only pitch.

Swiggy Quick commerce
"Banao's model replaced a rules-based system we'd patched for two years. Same infra, half the false-positive rate, and we own the weights."
PhonePe Fintech / payments
"We needed something that would hold up under audit, not just a demo. Two weeks in, we had working code against our real transaction data."
Indian Oil Energy / PSU
"Most vendors pitched a roadmap. Banao shipped a working system in production within the quarter, and handed us the code."

Every engagement runs a production system, not a pilot — the same standard Banao holds for its own ~300-person operation.

06 · FAQ

Questions enterprise buyers ask before they sign

Answered plainly — receipts, not reassurance.

abstract diagram of a Discovery Sprint funnel narrowing from raw client data into a deployed model, three labeled stages, flat line-art style matching the dark theme
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.

Proof, not promises

The numbers we generate running our own operation.

200+models shipped to production
50+model types deployed
99.5%uptime in live operation
30+enterprise clients since 2016
Book a Discovery Sprint → Swiggy · Myntra · PhonePe · Indian Oil · HCL — already running this.