Our Mission

To level the playing field for non-enterprise businesses in the AI epoch by developing technology solutions better than those available at AI leaders such as Tesla, Google and Amazon.


The Problem

Businesses are ready to embrace AI, but most AI initiatives fail to create significant company-level impact. Why? Because most AI today doesn’t capture the context, is slow to adapt, and is expensive. At the same time, businesses are concerned about sharing their sensitive data with AI vendors.

Also, access to deep AI is gated. Expert AI and Data Science talent is scarce, and limited to technically advanced organizations such as Tesla or Google.

Businesses are ready to embrace AI, but most AI initiatives fail to create significant company-level impact. Why?Because most AI today doesn’t capture the context, is slow to adapt, and is expensive. At the same time, businesses are concerned about sharing their sensitive data with AI vendors. Also, access to deep AI is gated. Expert AI and Data Science talent is scarce, and limited to technically advanced organizations such as Tesla or Google.

Our Solution

We are uniting the advancements in Generative AI and Predictive AI to deliver systems-level impact. To solve these challenges, we are following the following tenets:


Native AI Architecture

By combining multi-agent systems with cutting-edge modeling techniques such as Liquid Neural Networks, we will achieve superior performance with a fraction of the compute costs and time to value, reducing the whole initiative timeline from months to days.

Context is king

We go beyond static data. Our innovative context agents augment business stakeholders by learning the nuances of your specific industry, your company and market in real-time and continually learning to improve the output.

Human centered design, first principles approach

We will start with the users and customers first, instead of developing technology solutions and then looking for a problem. We will explore and solve  the root causes of the challenges 

Zero Trust Data

We are developing ways to deliver high-accuracy predictions based solely on metadata, ensuring your customer data promise remains intact.

Native AI Architecture

By combining multi-agent systems with cutting-edge modeling techniques such as Liquid Neural Networks, we will achieve superior performance with a fraction of the compute costs and time to value, reducing the whole initiative timeline from months to days.

Context is king

We go beyond static data. Our innovative context agents augment business stakeholders by learning the nuances of your specific industry, your company and market in real-time and continually learning to improve the output.

Human centered design, first principles approach

We will start with the users and customers first, instead of developing technology solutions and then looking for a problem. We will explore and solve the root causes of the challenges

Zero Trust Data

We are developing ways to deliver high-accuracy predictions based solely on metadata, ensuring your customer data promise remains intact.

Our Team

Deudutta Nagori

Co-founder and CEO

Deudutta Nagori

Co-founder and CEO

Deudutta engineered AI for Google’s Tensor as well as Tesla’s Autopilot and Dojo Supercomputer for 8 years. Previously he has also worked in R&D at Samsung and Intel. He holds an MS in electrical and computer architecture engineering from Arizona State University and an MBA from UC Berkeley’s Haas School of Business.

Mohit Manwani has engineered large-scale AI systems at Visa for more than 4 years. He holds a Master’s degree in Computer Science from Indian Institute of Information Technology, Hyderabad.

Mohit Manwani

Founding AI Engineer

Mohit Manwani

Founding AI Engineer

Mohit Guleria

Founding AI Engineer

Mohit Guleria

Founding AI Engineer

Mohit Guleria leads the development of AI applications at MetricsAmp. He holds a Bachelor’s of Technology degree from Indian Institute of Technology, Roorkee, and worked as an engineer at Visa.

Mohit Guleria leads the development of AI applications at MetricsAmp. He holds a Bachelor’s of Technology degree from Indian Institute of Technology, Roorkee, and worked as an engineer at Visa.