Our mission is to make AI trustworthy for all enterprises.

Our story
& values

Trust is a fundamental part of humanity, but with the rise of the internet over the last couple of decades, we’ve seen a plethora of trust issues like spam, fraudulent transactions, hate speech, and online abuse. Today, with AI, computers take on more tasks, usually done by humans, with an increase in efficiency and productivity. However, there is a lack of trust in AI outcomes because very often AI models are opaque.

We started Fiddler because we believe there is a need for a new kind of Explainable AI Platform that enables organizations to get ahead of these issues by building trustworthy, transparent, and understandable AI solutions.


We want to use our limited time on this planet to directly on indirectly help make the world a better place.


We believe in making life simple for everyone around us through our products, processes, and relationships.


We enable world-class companies to take risks, and continue to grow and become stronger when faced with uncertainty.

Our team

Our team of engineers, data scientists, product managers, and business specialists bring a wide set of skills and experiences building AI and ML platforms at companies like Facebook, Google, Lyft, Twitter, Microsoft, and other well-known technology companies. Our team has built deep expertise with decades of experience in machine learning, databases, and distributed systems. We're building cutting-edge technology to enable enterprises to easily and effectively adopt AI in their businesses, remove the ambiguity about the ROI from AI solutions, and foster a culture of trust in AI.

Krishna Gade

Founder & CEO

Facebook, Twitter, Pinterest, Microsoft

Amit Paka

Founder & CPO

Samsung, PayPal, Microsoft, UC Berkeley

Manoj Cheenath

Co-Founder & Chief Architect

Lyft, Twitter, Salesforce, BEA, IIT

Aalok Shanbhag

Sr Data Scientist

Georgia Tech, IIT

Amalendu Iyer

Staff Data Scientist

HP Labs, Qualcomm

Andrew Pollack

Software Engineer


Anusha Sethuraman

VP of Marketing

Microsoft, New Relic

Apurv Bhargava

Staff Software Engineer

Google, Lyft, Yahoo, Oracle, IIT

Brittany Bradley

Senior Recruiter

Marius Group, Logik Recruiting

Gary Chan

VP of Operations

Dell, Deloitte, Cornell

Henry Lim

Senior Product Marketing Manager

Ople.ai, UVA Darden

Jack Reidy

UX Lead

Layout, Stanford

Jesse Wildman

Business Development Representative

LinkedIn, Hanson

Joshua Rubin

Lead Data Scientist


Kaivalya Rawal

Machine Learning Engineer


Kalyan Ram Chintalapati

Senior Staff Engineer

Nutanix, VMWare, Qualcomm

Léa Genuit

Data Scientist

Zillow, AXA Rosenberg, USF

Marie Beyene

Enterprise Business Development

H20.ai, Domino, Fundbox, Yelp

Mary Reagan

Data Scientist

PhD Stanford, UC Berkeley

Mike Walsh

VP of Sales

Confluent, Acquia

Osman Sarood

Senior Staff Software Engineer

Mist Systems, Yelp, PhD UIUC

Pranil Dasika

Head of Engineering

AppDynamics, Oracle, IIT

Rajesh Ekambaram

Staff Technical Program Manager

KLA Tencor

Rob Harrell

Staff Product Manager

Square, Microsoft

Sarmed Chaudhry

Software Engineer

Armorblox, UCSD

Seema Shet

Data Scientist

Citi, Wells Fargo, UC Berkeley

Timir Naik

Head of Customer Success

AppDynamics, Deutsche Bank

Avijit Ghosh

Research Intern

PhD Northeastern, IIT

Malhar Jere

Data Scientist Intern

Google, Intuit, UCSD, UIUC

Matan Broner

Engineering Intern

UC Santa Cruz

Our Investors

We’re supported by an incredible group of investors.

Our advisors

We’ve partnered with a group of dynamic industry veterans.

Jure Leskovec

Chief Scientist, Pinterest

Jay Boddu

Angel Investor

Marcy Campbell

VP & GM NA, PayPal

Anand C.

EVP PM & Design, Five9

Farhan Shah

Senior Technology Executive

Peter Skomoroch

Technical Advisor

Natalia Burina

AI Product Lead, Facebook

Meihong Wang

Engineering Director, Facebook

Ajay Patel


Scott Belsky

CPO & EVP, Adobe

Chris Fry

Technology Advisor & Investor

Rushabh Doshi

CPO, Digit

Fiddler in the News

Worried about your firm’s AI ethics? These startups are here to help.

MIT Tech Review

CIO outlook 2020: Building an explainable AI strategy for your company


4 explainable AI techniques for machine learning models


View all

Recent Press Releases

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