(00)The studio
AI-native · India
MaxxLabs is an AI-native product studio. We run our own product portfolio, engineer AI agents and workflow systems for other businesses, and do applied research into synthetic data — three pillars that sharpen each other.
What we build
(01)How the studio runs
Three pillars
I
Products
A portfolio run in sequence, not in parallel. Each product targets a market where the incumbent option is expensive, slow, or built on claims nobody checks — and each one has to earn its place with real outcomes before we move on.
Explore products →II
Services
AI agents that do real work, the workflow systems underneath them, and the data pipelines that make either one reliable — built end to end for your process, not bolted onto it. It starts with a free consultation to find the specific problem worth solving.
Explore services →III
Research
Applied research into generating training data with LLMs and proving its quality — benchmarked against real human-labelled data rather than assumed to be good. Longer term, we want to fund and support student research well beyond our own roadmap.
Page coming soon
A portfolio run in sequence, not in parallel. Each product targets a market where the incumbent option is expensive, slow, or built on claims nobody checks — and each one has to earn its place with real outcomes before we move on.
Products →AI agents that do real work, the workflow systems underneath them, and the data pipelines that make either one reliable — built end to end for your process, not bolted onto it. It starts with a free consultation to find the specific problem worth solving.
Services →Applied research into generating training data with LLMs and proving its quality — benchmarked against real human-labelled data rather than assumed to be good. Longer term, we want to fund and support student research well beyond our own roadmap.
Page coming soon
(02)Pillar I — Products
4 in the portfolio
Dental · Legal · Hospitality
Digital marketing that does not need an agency attached
Companies · Hiring & Staffing Agencies
Hiring intelligence that checks the work, not the wording
Creators · Video-first teams
The whole production loop, and the analytics that close it
SaaS Teams · Performance Marketers
Video ads and launch films without the agency timeline
(03)Pillar II — Services
Built end to end
Agents that carry out real work, the workflow underneath them, and the data pipelines that make either one reliable. Built into your process, not bolted onto it.
Agents that carry out real work inside your existing process.
e.g. Patient intake bots, document processing agents, booking systems
The unglamorous middle of your business: intake, triage, routing, follow-up.
e.g. Lead routing, client follow-up sequences, internal approval flows
Getting your own information into a state where an AI system can use it reliably.
e.g. Internal knowledge bases, document search, structured data extraction
The engineering behind acquisition.
e.g. SEO infrastructure, content quality gates, analytics systems
Full builds, shipped end to end. The same standard we hold our own products to.
(04)The rule
If you cannot see the return, we will tell you — before you pay us.
Every product has to justify itself with real outcomes, not demos. Every engagement has to show the client a clear return before it starts. That single filter decides what we build, what we take on, and what we walk away from.
(05)Currently building
On the bench
One product reaches real users before the next one starts. This is what is on the bench right now.
The analytics half — comparing what performed against what did not, and turning the difference into a plan rather than a dashboard.
Variant generation, so a concept produces several cuts to test instead of one deliverable to defend.
Moving the quality checks inside the generation loop, then benchmarking the output against real human-labelled data.
(06)Start here