The software we sell you is the software we run.
InterviewGod screens our hires. Vikaas runs our outreach. Vidya upskills our team. All production AI, all ours, all daily — the same discipline we bring to content, moderation, and personalization for media and entertainment teams.
Six problems production AI removes from a media operation — not six things we hope you buy.
Capability spans the whole pipeline, not one point tool.
Each of these runs in production somewhere in our own operation or a client's before it ever reaches a proposal. None of it is a pilot.
Content operations at production volume
Systems that generate, tag, and route content at the volume a media operation actually runs at, not campaign-batch volume tested once and left alone.
Moderation that never stops watching
Models that flag and remove policy-violating content continuously, running against live volume, not spot-checked on a sample.
Personalization running against live traffic
Recommendation logic deployed against real audience traffic, not a personalization demo built for a slide.
Cost compressed out, not added on top
AI that removes cost from an existing workflow, rather than a new subscription line sitting on top of the old process.
Manual review work removed, not reassigned
Manual tagging, review, and QA work taken out of the pipeline entirely, not redistributed to a different team to do by hand.
Blind spots surfaced before they're incidents
Systems built to catch what a manual process misses, before it reaches an audience or a regulator, not after.
The process, not just the pitch — the same six steps that shipped our own operation.
Six steps. No pilots, no slideware, nothing left in a deck.
Diagnose
A 45-minute working session on the content, moderation, or personalization bottleneck that's actually costing you — not a discovery deck.
Scope to production
We agree on the system that ships, not a prototype — defined against the same bar we hold our own 300-person operation to.
Build AI-native
The model sits in the architecture from day one — the same discipline behind InterviewGod, Vikaas, and Vidya, our own internal tools.
Integrate, don't replace
Wired into what you already run — CMS, DAM, moderation queue, personalization engine — no rip-and-replace.
Validate on real load
Tested against your production data and volume before go-live — not a demo environment with sample content.
Hand over, fully owned
Source, documentation, and operating runbook included. You run it. No lock-in, no dependency on our retainer.
We haven't built for media and entertainment yet. Here's what we have built.
Production AI at enterprise scale, running since 2016, for Swiggy, Myntra, PhonePe, Times Internet, Indian Oil, HCL, CP Plus, RAK Ceramics, FootLocker and Majra.
Weeks, not quarters
Shipped, not slideware.
AI-native, not bolted on
Built around the model, not around it.
Running in our own ops
And in 30+ client deployments.
See if the fit is real — 45 minutes, no deck.
Book a Discovery SprintOne build. Full transparency about what it proves.
We have not shipped inside media and entertainment yet. Here is the closest work we can show you, and an honest read on what it does and doesn't tell you about your problem.
An enterprise production AI system, built and running for PhonePe — one of the 30+ clients we have shipped for since 2016. Engineering-led, deployed in weeks, owned by the client's team on delivery.
It isn't a media or content build. It doesn't tell you we've solved moderation or personalization at your scale. What it shows is how we work under enterprise constraints — the same discipline we'd bring to yours.
What client teams say once the system ships.
Three of 30+ engagements since 2016.
Objections, answered before you have to ask
Timeline, cost, and fit — laid out here so none of it surfaces on the call.
Have you built for media and entertainment before?
We've shipped content, moderation, and personalization systems for our own 300-person operation and for clients including Times Internet. Media-specific case work is early; the underlying engineering is not.
How long does a build take?
Weeks, not quarters. We don't run open-ended pilots.
What does it cost?
Scope-dependent, quoted after the discovery session.
Do we own what you build?
Yes. No lock-in — it runs on your infrastructure once shipped.
Who works on our account?
The engineers who build and run InterviewGod, Vikaas, and Vidya.
What happens after the 45-minute session?
A scoped build plan with timeline and cost. No obligation.
Why trust a vendor with no media case study yet?
Judge the engineering, not the logo wall.
We run our business on this.
InterviewGod, Vikaas, and Vidya are the production systems our own ~300-person team depends on every day for hiring, outreach, and upskilling — not a demo. Talk to the people who run it, not the people who sell it.
Book a Discovery Sprint →