About
Built by someone who has watched AI fail after the demo.
Datastunt Labs exists to do the unglamorous part: making AI work on real business data, and telling you honestly when it won't.
Hi, I'm Nihit Saxena.
For 10 years I've been turning slow, manual work into systems that run themselves. I've done that as an AI sales engineer at Deloitte, building and defending AI proofs of concept for large enterprises, and as a founder building for companies of every size.
Along the way I've built computer vision on satellite imagery for a national geospatial programme, support and process automation over messy operational data, compliance and document AI for financial clients, and an AI product that went from prototype to paying customers. I've worked with teams in logistics, BFSI, healthcare, marketing and more.
I've also seen plenty of AI projects look brilliant in a demo and fall apart on real data. That's why Datastunt works the way it does: we test on your real work, measure what it saves, keep people in control, and say so when something isn't worth building.
Most growing companies don't need an AI team or another tool subscription. They need someone to find the work AI can take over, build it properly, and keep it running. That's what we do.
From 1 October 2026 I'm sharing one industry problem and its AI solution every day for 365 days. Follow on YouTube or connect on LinkedIn.
Tell us the work that eats your team's week.
In a 45-minute discovery call we map where AI agents fit in your business, what it would take, and roughly what it would save.
45 minutes · $30, credited to your Audit