We methodically source, categorize, and research responsible AI enablement solutions.

Our goal is to provide transparency into what is an otherwise opaque and nascent (though direly needed) industry. We provide differentiation between companies that solve problems with AI and companies that solve the problems of AI. We conduct market research on behalf of founders, investors, policymakers, governments, and the general public. We're fully independent, transparent, and objective.

We actively drive value for those in the space, both within and outside of the database.

1. Lead & Sales Sourcing

   We've heard from several of our constituent companies that EAIDB's transparency and ability to filter, search, and compare companies within the same solution space has helped clients find products that match their needs.

2. Investment Sourcing

   EAIDB has drawn attention from VC firms and founders alike and have exercised our unique ability to make connections between the two parties on more than one occasion.

3. Marketing and Promotion

   EAIDB has 4,000+ followers on LinkedIn and has received 6,500+ downloads on our various reports. We attract attention from the public, policymakers, founders, and investors alike.

4. Market Research

   As a fully independent organization, EAIDB sits in a place of objectivity and methodical approaches. We do market research on behalf of governments and organizations to investigate and identify market opportunities, profile companies, and offer in-depth comparisons of technology used.

We're a small team with a lot of heart.

Abhinav Raghunathan, Founder

Co-Founder & CTO, Stealth Startup

Abhinav is the Co-Founder and CTO of a stealth startup and the founder of EAIDB. He previously led AI R&D at KPMG and built Vanguard's initial GenAI systems as an AI Scientist, with earlier roles at Point72 and IHS Markit. He holds a BS in Computer Engineering and a BS in Mathematics from UT Austin and an MSE in Data Science from UPenn. He is a TEDx speaker, lead author of MoA Is All You Need: Building LLM Research Teams with Mixtures of Agents (2024), and frequently writes on ethical AI, including algorithmic bias and fairness.  

Venkat Raghavan, Advisor

CEO, Stack Identity

Venkat is an Operating Partner at Benhamou Global Ventures and Founder of Stack Identity. Prior to BGV, Venkat was the Vice President for Strategic Business Development at IBM Research where he incubated and deployed early-stage research technologies into IBM's AI, Cloud and Blockchain Offerings. He focuses on trends in software like: Programmable Cloud, Enterprise Ethical AI, and Privacy / Security.  

Emmanuel Benhamou, Advisor

Ethical AI Governance Group

Emmanuel serves as Managing Director for the Ethical AI Governance Group (EAIGG). He also leads Strategic Communications and Policy efforts for BGV, an early-stage venture capital firm focused on global Enterprise 4.0 technology innovation, meaning a new wave of B2B startups that combine artificial intelligence, intelligent automation, and proprietary access to data to deliver actionable insights for enterprise businesses.  

Ash Tutika, Advisor

Director, Insight Partners

Ash is currently the Chief of Staff to the CEO at Arena, a Charles River Ventures & Craft Ventures portfolio company. He also supports the Ethical AI Governance Group, a non-profit community of AI investors, executives and technologists working to open-source best practices for responsible AI.  

EAIDB works with EAIGG and BGV to extensively study this ecosystem.