about numberz

Our Approach to
Production Intelligence

Our Approach

to Production

Intelligence

At Numberz.ai, we build intelligence systems designed to work in real operational
environments where correctness, accountability, and trust are essential.

Numberz.ai builds domain-intelligent AI that helps experts reason across complex documents, live enterprise systems, and fragmented data.

Why We Exist

Bridging the gap
between experimentation  and operational use.

"Our focus is not experimentation.
Our focus is dependable intelligence where decisions matter."

Information lives across documents, databases, and live systems.

Organizations today operate in environments where decisions are complex, regulated, and high consequence. Critical information is often fragmented across documents, enterprise systems, policies, and operational workflows.    

While AI technologies have advanced rapidly, many systems remain built for demonstrations rather than operational use. They perform well in controlled scenarios but struggle when exposed to real-world complexity.    

Numberz.ai exists to bridge this gap by building intelligence systems designed to function reliably in production, helping organizations reason across complex information while maintaining control.

Workflow Adaptation

Strengthening experts  through domain-aware  reasoning.

ACM Presents:
The Middle Path in Enterprise AI

We believe intelligence systems should strengthen expert decision-making rather than replace it. Real-world decisions require context, domain understanding, and accountability.

Contextual Awareness

Systems that combine deterministic logic with domain reasoning.

Operational Fit

Built to integrate naturally into existing enterprise workflows.

Continuous Performance

Infrastructure that evolves with policies and data environments.

Partners & Collaborators

Built for

High-Consequence Scale

We work with organizations where correctness and accountability are critical.

Enterprises

Building internal intelligence and decision-support platforms for highly regulated operations.

Platform Firms

Services and technology partners delivering production-grade intelligence systems to their customers.

Market Leaders

Startups and incumbents operating in domain-heavy and regulated markets needing dependable AI.

Designed to function reliably in real-world environments.

Partners & Collaborators

How Numberz

Builds AI

We work with organizations where correctness and accountability are critical.

Enterprises

Building internal intelligence and decision-support platforms for highly regulated operations.

Platform Firms

Services and technology partners delivering production-grade intelligence systems to their customers.

Market Leaders

Startups and incumbents operating in domain-heavy and regulated markets needing dependable AI.

Designed to function reliably in real-world environments.

The Team

Engineering beyond

experimentation

Numberz.ai is built by a multidisciplinary team combining expertise in AI systems, enterprise platforms, and domain-focused product development.

Leadership

Tricha Anjali

CO-Founder & CEO

IIT Bombay, PhD Georgia Tech,

Ex-Head of Data Science Actyv.ai

Academic Leader (IITs, IIITB, Upgrad), GenAI leader

Agent & LLM systems design with production constraints

Evaluation, safety & governance patterns for enterprise AI

Works across tiers: platform, retrieval, routing, and apps

Raghu Venkat

CO-Founder

IIT Madras, IIT Chicago,

Scaled Evive ($43M funding from SGEP, acquired by bSwift),

Actyv.ai ($12 million raised,exited)

Turns domain pain into workflows users adopt

Enterprise delivery discipline: security, cost, reliability

Partners closely with customer AI and data teams

Team Members

Afras Ali

Founding Engineer

Mohan Chinnasamy

Founding Engineer

Stephen Prakash

Founding Engineer

Aravinth V

Founding Engineer

Suryakant Chandrakar

Founding Engineer

Praveen Chinnasamy

Software Engineer

Nagaraj M

AI Security Engineer

Aslin D

Business Analyst

Aslin D

Business Analyst

Siddheshwar C

Product Designer

Anusha SV

Software Engineer

Together, the team works closely with enterprise partners and domain experts to build

intelligence systems that support real decisions in production environments.

Looking Ahead

Building the infrastructure

experts trust  when decisions matter.

As organizations move from AI experimentation toward operational intelligence, the demand for reliable, traceable, and production-ready systems continues to grow.

Start a Conversation

Looking Ahead

Building the infrastructure

experts trust  when decisions matter.

As organizations move from AI experimentation toward operational intelligence, the demand for reliable, traceable, and production-ready systems continues to grow.

Start a Conversation

Looking Ahead

Building the infrastructure

experts trust  when decisions matter.

As organizations move from AI experimentation toward operational intelligence, the demand for reliable, traceable, and production-ready systems continues to grow.

Start a Conversation