Superteams was founded on a simple thesis: the fastest path to production-grade AI isn't building a 20-person team from scratch — it's embedding 3–5 elite engineers who've already solved this problem.
The best AI products aren't built by lone geniuses or 200-person departments — they're built by small, senior, embedded teams who think like researchers and ship like founders.
Three things that separate Superteams from every other AI vendor you've evaluated.
Our researchers and engineers work inside your team — your Slack, your sprint, your standup. No ticket queues, no handoffs, full accountability.
We hire from top AI labs and ML programs. Every architectural decision gets reviewed, debated, and stress-tested by people who've shipped systems at scale.
Every model, dataset, and pipeline we build belongs entirely to you. We transfer knowledge too — your team can maintain and extend everything we build together.
Built by operators, backed by founders — everyone here has been in the AI trenches themselves.
Ex – Home Screen Network, Spark.Live, Knowlarity, State.com, Mixercast. IIT Kanpur alumnus.
Ex – Home Screen Network, Amazon, HarperCollins, Penguin Random House.
Investor, Co-Founder & CEO @ Basis Vectors Capital. Previously Co-Founder and CEO of Knowlarity.
Founder of Mars College.
Distinguished Engineer @ Meta. Ex-Co-Founder of iMo Controller.
The principles that shape how we think, build, and show up for your team.
We don't default to what's trending — we go deeper until we find what actually works for your specific problem and data.
Bias to production. An imperfect system in prod is worth more than a perfect one in a notebook. We iterate in the real world.
We embed because understanding your domain, data, and constraints is the only way to make the right architectural choices the first time.
Tell us what you're working on. We'll design an engagement that fits your stage, team size, and timeline.
