About TruEra

Enabling people and machines to make better decisions together.

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Helping machine learning achieve its promise

TruEra fills a critical gap in your AI stack, explaining and testing model quality throughout the lifecycle.

TruEra’s AI Quality solutions explain, debug, and monitor machine learning models, leading to higher quality and trustworthiness, as well as faster deployment. Backed by years of pioneering research, TruEra works across the model lifecycle, is independent of model development platforms, and embeds easily into your existing AI stack.

With major offices in the US, the UK, and Singapore, TruEra is ensuring that machine learning delivers value and benefit to organizations, customers, and citizens alike.

What drives us

Cutting-edge Technology

We thrive on solving hard, meaningful problems with advanced innovation.

Innovative and Talented People

When you work with creative, dedicated individuals, the impossible becomes possible.

Trust and Confidence

We believe that trustworthy, transparent AI can positively impact the world.

Fairness and Transparency

We are passionate about the responsible use of AI and reducing algorithmic discrimination.

TruEra Executive Team

Anupam Datta

Anupam Datta

Co-Founder, President and Chief Scientist
Anupam is passionate about enabling responsible adoption of artificial intelligence. As a Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University for over a decade, he has led groundbreaking research in the areas of AI explainability and governance as well as privacy and data protection. Anupam obtained PhD and MS degrees from Stanford University and a BTech from the Indian Institute of Technology, Kharagpur, all in Computer Science.
Shayak Sen 1

Shayak Sen

Co-Founder and Chief Technology Officer
When Shayak started building production grade machine learning models for algorithmic trading 10 years ago, he realized the need for putting the ‘science’ back in ‘data science’. Since then, he has been building systems and leading research to make machine learning and big data systems more explainable, privacy compliant, and fair. Shayak’s research at Carnegie Mellon University introduced a number of pioneering breakthroughs to the field of explainable AI. Shayak obtained his PhD in Computer Science from Carnegie Mellon University and BTech in Computer Science from the Indian Institute of Technology, Delhi.
Will Uppington

Will Uppington

Co-Founder and CEO
Will became passionate about addressing the challenges of black box machine learning for enterprises when he experienced these challenges firsthand while leading both product teams building machine learning/algorithmic software and customer-facing teams selling and explaining this software to customers. He believes deeply that machine learning can have a huge positive impact on the world but that the technology needs to be developed in collaboration with people, not against them. Will holds an MBA from Harvard Business School and a BA in Economics from Dartmouth College.

Biswajit Das

VP of Engineering
Biswajit has led engineering at companies of all sizes. Biswajit brings a wealth of experience in data infrastructure, AI/ML platforms, and engineering excellence to Truera. Before joining TruEra, he built Visa's AI platform for its next generation of payment products. Prior to that, he was leading Data Platform and Infrastructure at Branch Metrics. Earlier, Biswajit held engineering leadership roles for various startups and large companies. Biswajit holds a Bachelor of Engineering from the National Institute of Technology India.
Trevor Eddy

Trevor Eddy

Chief Revenue Officer
Trevor, a 30-year sales veteran, has built several sales organizations from inception to worldwide expansion with notable exits of Skyhigh (acquired by McAfee) and Clearwell (acquired by Symantec). Responsibilities included sales, sales development, channel, business development, customer success, renewals, professional services, and pre-sales system engineers. Trevor holds a Bachelor of Commerce from Queen’s University in Canada.
Shameek Kundu

Shameek Kundu

Head of Financial Services and Chief Strategy Officer
Shameek has spent most of his career in driving responsible adoption of data analytics/ AI in the financial services industry. He is a member of the Bank of England’s AI Public-Private Forum and the OECD Global Partnership on AI, and was part of Monetary Authority of Singapore’s Steering Committee on Fairness, Ethics, Accountability and Transparency in AI. Most recently, Shameek was Group Chief Data Officer at Standard Chartered Bank, where he helped the bank explore and adopt AI in multiple areas (e.g., credit, financial crime compliance, customer analytics, surveillance), and shaped the bank’s internal approach to responsible AI.
Justin Lawyer

Justin Lawyer

Chief Product Officer
Justin is a 20-year machine learning and product veteran and brings a wealth of practical AI, commerce, and risk experience to TruEra. Previously, Justin spent 14+ years at Google where he ran their Cloud AI Platform team and built Google’s machine learning platform for payment fraud and abuse prevention. Prior to Google, he worked as a staff scientist in a machine learning lab of HNC Software (later acquired by Fair Isaac) focused on AI research and practical AI applications for fraud prevention, churn, and customer relationship management. Justin holds an MBA from the University of Chicago Booth School of Business, MS in Electrical Engineering from the University of California San Diego, and BS in Physics, Literature from Caltech.

Barbara Lewis

Chief Marketing Officer
Barbara has spent the last 20+ years developing corporate strategy, investing and working in startup companies, and helping new technologies succeed in the marketplace. Before TruEra, Barbara was the CMO at App Annie, the leading global provider of mobile app data and analytics. She was also VP of Marketing at Altiscale, a big data platform provider acquired by SAP, and helped lead marketing at C3.ai. Barbara holds an MBA from the Stanford Graduate School of Business and a BA in History from Yale University.
Jason Reeve

Jason Reeve

VP, Sales Engineering
Jason brings more than 20 years of experience selling and supporting category-defining products, developing technical field strategy, and building high-performing technical pre-sales organizations. He has been a key contributor at numerous early stage companies with notable exits at Skyhigh (acquired by McAfee), Clearwell (acquired by Symantec), and Peribit (acquired by Juniper). Jason holds a BS in Computer Science from the University of Connecticut.


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The TruEra Story: United by Common Purpose to Improve AI Outcomes

The TruEra story began in 2014 at Carnegie Mellon University with Anupam Datta, a Professor of Computer Science and Electrical & Computer Engineering, and Shayak Sen, a PhD student. In the course of their research, Anupam and his team discovered gender bias in online advertising. However, they lacked the tools to explain precisely what caused the bias. Passionate about enabling effective and trustworthy artificial intelligence, Anupam, Shayak, and their colleagues dug deeply into the issue, creating a body of work on explainable artificial intelligence. Shayak’s hands-on experience with building and deploying machine learning models in the financial services industry informed the team’s approach. Operating on the thesis that explainability is key to guard against societal harms and to build higher quality models, Anupam, Shayak, and their team became part of a growing interdisciplinary community tackling these challenges and raising awareness about them in academic, regulatory, and public spheres.

In parallel, Will Uppington was experiencing a similar set of challenges. A member of the founding team at Bloomreach, Will was productionizing black-box machine learning models and algorithms in enterprises. Will was struck with the fact that data scientists did not have sufficient visibility to evaluate and improve model quality during model development and in production. When business users demanded explanations for unexpected model predictions, existing tools did not provide adequate answers.

Anupam and Shayak were introduced to Will by a mutual friend in late 2018. It was a meeting of minds. All three came together to form TruEra in early 2019 to analyze, improve, and build trust in machine learning models. By the autumn of 2020, the company emerged from stealth and today serves enterprises in multiple industries across the globe.



2000 Broadway #330
Redwood City, CA


TruEra UK Limited
Highlands House
Basingstoke Road
Spencers Wood, Reading Berks

Asia Pacific

160 Robinson Road
#14-04 Singapore Business Federation Centre
Singapore 068914

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