About

The hard part of AI is everything around the model

NivaMind is a technology firm working across artificial intelligence, cybersecurity, data and cloud, digital engineering and transformation. We bring those disciplines together into one operating model, and take them to production.

Access to capable models stopped being a differentiator some time ago. Any organization can call a frontier model this afternoon. What separates the companies getting value from AI from the ones with a folder of impressive demos is unglamorous: whether the data underneath is trustworthy, whether anyone can measure if the output is right, whether the cost per request is understood, and whether the thing can be operated by people who did not build it.

That gap is where NivaMind works. We are an engineering firm that happens to specialize in AI, rather than a strategy firm that subcontracts the building. The people who write your roadmap are the people who will write your code, which makes the roadmap considerably more honest.

We work inside your environment, in your repositories, with your engineers pairing alongside ours. At the end of an engagement you own the system and the understanding of how it works. If we have done the job properly, you can run it without us and call us for the next thing rather than for maintenance.

In short

What we are: An AI consulting and engineering firm working across strategy, delivery, platform and governance.
How we engage: Fixed-scope stages with a decision point at the end of each one.
Who owns the result: You do. Code, documentation and decision records land in your systems.

Principles

What we hold ourselves to

We will tell you not to build it
A meaningful share of discovery engagements end with a recommendation against the project. That is the engagement working, not failing.
Measured, not asserted
Every system we ship carries an evaluation harness. If we cannot measure whether it improved, we do not claim that it did.
Your engineers own it
Code lands in your repositories, in your stack, with your team pairing on it. Lock-in is a business model, not an architecture.
Cost is a design constraint
Inference spend is designed in from the first week, not discovered in the first invoice after launch.

Team

The people you will work with

Niyathi Vasasali
Founder and CEO
A computer science professional with a background in AI and machine learning. Started Nivamind on a simple conviction: the value of AI is in the problems it solves, not in the technology itself.
Saket Sharma
Growth and Strategy
Sets the direction for where the firm grows next: which sectors to pursue, which partnerships to build, and which engagements to say yes to. Keeps growth tied to work the team can deliver well.
Alema Sadat
Program Management
Deep grants management experience and a record of running very large federal and private programs. Keeps multi-workstream engagements honest about scope, dates and reporting, which is where large programs usually succeed or fail.
Vig Gopal
Sales and Marketing
More than three decades of experience across industries and markets worldwide. Brings a long view of how organizations actually buy, and builds client relationships on delivered results rather than first-meeting promises.
Sunitha Katukam
Human Resources
A diligent people person who looks after the side of the firm clients never see but always feel. Runs hiring and retention on the principle that in consulting, the people are the delivery.
Chandra Vasasali
Solution Architecture
Designs the systems behind each engagement, from the data foundations to the AI services built on them. Focused on the gap between a convincing demo and a service people can depend on every day.