Caventia is the work of one founder with a specific track record and a specific argument.

Ashish K. Saxena is the founder of Caventia. His career has been a single thread, deploying AI inside institutions that cannot afford to be wrong about it, and writing about what that experience taught him about the gap between AI capability and AI accountability.

He spent eleven years at Amazon, leading the platform engineering behind some of the company's largest financial systems. Project Vault, a scalable payment processing platform built on Amazon EC2, SQS and S3, handles up to $250 billion in transactions with advanced fraud detection. Project Orion, a global financial communications platform built on AWS, supports billions of events per day. The Intercompany Engine automated pricing and tax calculations across 1,450 global Amazon entities, taking compliance error and operational risk out of a process that used to consume teams of accountants. The fraud detection systems he developed cut financial fraud by 40 percent and processing errors by 75 percent at scale.

Before Amazon, he was at Morgan Stanley in IT and Risk, working on the kind of model-and-control problems that became the early shape of what later became and outlived SR 11-7. His academic foundation goes back to the IITD-IBMIRL question-answering system, which placed ninth worldwide at the 2007 Text REtrieval Conference (TREC).

He is the author of Society and the Machine (first place, General Nonfiction, London Book Festival; second place, Non-Fiction Education, PenCraft Book Awards; finalist, Page Turner Book Awards) and The Ethics of Artificial Intelligence: Challenges and Opportunities. Both have been Amazon bestsellers in the US and UK. He has also written a sci-fi series, Ava's New World, whose screenplay adaptation has been a finalist at the Indo Dubai International Film Festival, the Swedish International Film Festival and the FrameFusion International Film Festival in Glasgow.

His peer-reviewed work appears in IEEE conferences (TEMSCON ASPAC and ISTAS) and in SCOPUS-indexed journals at the Q2 and Q3 tiers. His Q2 paper, Impact of Industry 4.0 on green intellectual capital and sustainable development: the moderating role of managerial emotional intelligence, appears in Intellectual Economics, Vol. 18, Issue 1, pages 7-33. Other work appears in Emerging Trends in Machine Intelligence and Big Data and the International Journal of Applied Health Care Analytics. Google Scholar reports an h-index of 8 with 226 citations across machine-learning fraud detection, healthcare AI, AI policy and bias measurement.

He is an IEEE Senior Member (a distinction held by only the top 10 percent of IEEE's 400,000 members globally) and a Fellow of the British Computer Society, the UK's chartered institute for IT professionals. He serves on the editorial review board of an international computer science journal and has peer-reviewed 42 papers across international research venues. He judges the ASJA Writing Awards, the Stratus Cloud Computing Awards and the Sustainability Awards. He has been recognized as Best Technical Researcher of AI. His work has been featured in Ritz Herald, Hudson Weekly, International Business Times India and Joel's Top 8+ AI Ethics Books list.

He has mentored more than fifty AI professionals and spoken at the Data Science Salon in San Francisco on the intersection of AI capability and ethical deployment.