AI engineering for enterprise · Building since 20164 products · run on our own ops · 30+ enterprise clients
Running in production

AI-native engineering & transformation partner — building since 2016.

4 products, one standard 30+ enterprise clients

Production AI — not pilots, not slideware

We run our own company on the AI we build for you.

Banao builds production AI for content, audience, and creative operations — the same standard we hold the systems running our own 300-person company to.

Book a Discovery Sprint →

The first call is free · 45 minutes · no obligation

InterviewGod — 200K+ interviews · live & billing
flat technical line-diagram of Banao's internal AI stack (InterviewGod, Vikaas, Vidya) connecting into a media/audience AI system, node-and-line style, single accent-color line art on dark background
03 · What we deliver

Not generic AI. Six specific breaking points.

Recommendation drift, a moderation backlog, an edit queue that doesn't clear — six places media and OTT operations break under volume, and the systems Banao builds to close each one.

minimal line icon of a document with a small spark/pen mark, generative-content concept
Manual scripting & variants

Generative content

Scripts, thumbnails, and metadata variants generated inside your existing production tools, reviewed before publish — not a separate app your team has to remember to open.

minimal line icon of a waveform merging into a captioned video frame, dub/caption automation concept
Dub & caption backlog

Video / audio automation

Dubbing, captioning, and format conversion run as a pipeline stage, not a queue waiting on a vendor's turnaround.

minimal line icon of a line chart with a play-button overlay, audience-analytics concept
Blind programming calls

Audience analytics

Viewing-pattern signals surfaced to programming teams as they happen, not in a report assembled after the window to act has closed.

minimal line icon of a shield with a checkmark over a stack of video thumbnails, moderation concept
Review queue outpaces upload

Content moderation

Every upload flagged automatically; only the ones confidence can't resolve reach a human reviewer — so the queue scales with automation, not headcount.

minimal line icon of branching arrows converging on a single play icon, recommendation-engine concept
Recommendation drift

Recommendation engines

Personalization systems retrained against real, current viewing behavior — not left to drift on a model trained once at launch.

minimal line icon of a film clapperboard with a circuit-trace pattern, virtual-production/VFX concept
Post queue backlog

Virtual production / VFX

AI-assisted production and post pipelines that shorten the path from shoot to delivery, built into the tools your crews already use.

04 · How we deliver

A repeatable process, not a pitch.

This is the sequence every engagement runs — the same one we hold our own 300-person operation to.

  1. 01
    minimal line icon of a magnifying glass over a branching workflow diagram, scoping/discovery concept

    Scope

    Map the system against your actual workflows, data, and failure points — not a feature wishlist.

  2. 02
    minimal line icon of a blueprint schematic with connected nodes, system-architecture concept

    Architect

    Design against your existing stack. No rip-and-replace, no new platform to babysit.

  3. 03
    minimal line icon of a wrench crossing a code bracket, build-in-progress concept

    Build

    Ship a working system in weeks, not quarters — the same clock we run our own ops on.

  4. 04
    minimal line icon of a checkmark inside a shield over a test tube, QA-validation concept

    Validate

    QA against real production data before it touches a live workflow. This is the gate, not a formality.

  5. 05
    minimal line icon of an upward arrow feeding into a server rack, deployment concept

    Deploy

    Roll into your operation with monitoring in place from day one.

  6. 06
    minimal line icon of a key passing from one open hand to another, ownership-handoff concept

    Own

    The system is yours to run. No lock-in, no dependency on us to keep it working.

05 · Recent Work

Built once. Proven now.

Selected production AI engagements — part of 30+ systems shipped since 2016. Media case studies are still coming in; book the sprint and see the same rigor applied to your systems first.

Production

Swiggy

One of 30+ production AI systems Banao has shipped since 2016 — built to the same standard we run our own operations on.

Production

Myntra

One of 30+ production AI systems Banao has shipped since 2016 — built to the same standard we run our own operations on.

Production

Times Internet

One of 30+ production AI systems Banao has shipped since 2016 — built to the same standard we run our own operations on.

View all engagements
06 · Client reviews

What we can prove today.

Client testimonials are still coming in. These numbers aren't waiting on anyone.

30+clients across industries and geographies
2016the year we started building, not pitching
~300people at Banao running on the same AI we build for clients

Worked with: Swiggy · Myntra · PhonePe · Times Internet · Indian Oil · HCL · CP Plus · RAK Ceramics · Foot Locker · Majra (UAE)

Reviews are on their way. A scoped conversation isn't.

Book the Discovery Sprint
07 · FAQ

Before you book the call, the questions we get asked first.

Straight answers — no case study we haven't earned yet, no claim we can't back with our own systems.

Book the discovery sprint
Is this just generic AI wrapped in a nicer interface?

No — every engagement ships a production system, not a pilot or a slide deck. FAST: shipped in weeks, not quarters. SMART: built AI-native for your specific workflow, not bolted onto one. That standard holds across 30+ client deployments since 2016.

Do you have case studies for media and creative teams specifically?

Times Internet runs on Banao-built systems today. Beyond that, our media case studies are still coming in — book the sprint and see the same rigor applied to your systems first, before anyone else's name is on the page.

Why should we trust your AI claims over anyone else's?

We run our own ~300-person company on the AI we build: InterviewGod hires for us, Vikaas runs our outreach, Vidya trains our team. We do not sell software we hope works — we sell the software we depend on.

What actually counts as "production," not a pilot?

Live and billing, not a demo. InterviewGod alone has run 200K+ interviews in production. That's the bar every client system is held to before we call it done.

How fast can a system like this actually ship?

Weeks, not quarters. That's the FAST pillar — the same delivery model we use to run our own operations, applied to yours.

Who owns the system once it's built?

You do. OWNED means the system is yours at handoff — no lock-in, no dependency on us to keep it running.

Where is Banao based, and how long have you been doing this?

Bengaluru, Chandigarh, Dubai, Cambridge (UK), and California. Building production AI since 2016, for 30+ clients including Swiggy, Myntra, PhonePe, Times Internet, Indian Oil, HCL, CP Plus, RAK Ceramics, FootLocker, and Majra.

"We sell you the software we depend on."

Banao Technologies — internal operating principle

Book a Discovery Sprint and see the same standard applied to your systems.

Book a Discovery Sprint →

The first call is free · 45 minutes · no obligation

30+ clients, building since 2016 — Bengaluru, Chandigarh, Dubai, Cambridge, California.