Precision engineering meets applied AI, built to grow without losing its shape.
Nanolisa designs and builds software and AI systems for teams who need both rigor that holds up under scale, and the judgment to know what's actually worth building.
Two ideas, one practice.
Precision and possibility aren't in tension for us — they're the same discipline, applied at different scales.
The golden spiral behind our name grows by an exact, unchanging ratio — nothing about it is improvised, and yet it never stops expanding. That's roughly how we think about engineering: hold the rigor constant, the architecture, the testing, the way a system behaves under load, and growth takes care of itself.
We stay small and senior on purpose. The person who scopes your project is also the person reviewing the code. No handoffs, no juniors learning on your invoice.
Where we go to work.
Four practices, one team. We scope engagements around the problem, not a fixed menu of packages.
Custom Software Engineering
Full-stack product builds, legacy modernization, and systems integration, built to be maintained by someone other than us.
Typically an 8–20 week engagement, fixed-scope or embedded team.Applied AI & Machine Learning
Model development and LLM integration pushed all the way to production infrastructure, not a proof of concept that stalls.
From prototype to a system your team can actually operate.AI Strategy & Advisory
For leadership teams deciding where AI creates real value, and where it's a distraction. Honest scoping before honest building.
Usually a 2–4 week engagement, before a line of code is written.Data & Cloud Platform Engineering
Pipelines, infrastructure, and the unglamorous plumbing that makes everything above this line reliable.
AWS, Azure, or GCP, whichever your team already trusts.The people building it.
Nanolisa stays small on purpose. Here's who you'd actually be working with.
Satheesh Kumar V
20+ years leading enterprise AI, data science, and technology strategy, now setting the technical direction for every AI system Nanolisa ships.
Before Nanolisa, Satheesh held senior AI and data-science leadership roles across global technology and financial-services consultancies, building machine learning platforms and running enterprise-scale AI transformation programs. His work spans applied machine learning, enterprise AI architecture, and, unusually for the field, quantum computing.
More of the team, coming soon. Nanolisa is intentionally small, and we'd rather introduce people properly than pad this page.
Let's talk about what you're building.
Tell us where you're stuck, or where you're headed. We reply from a person, not a queue.
- hello@nanolisa.com
- Offices
- Chennai, London, and New York
- Response time
- Within one business day