INDEMNIFY AI, INC.’S MISSION STATEMENT
To design, develop and deliver efficient codified workflows for profitable AI risk management.
FOUNDER/DIRECTORS & BOARD ADVISORS
Our foundation is a set of repeated and transferable best practices extracted from successfully navigating major technological transformations.
Josh Bottum
Founder
Josh Bottum is co-founder of Indemnify AI, where he builds software to quantify and benchmark AI risk. He’s a veteran of new product introduction at Cisco, Ascend, Lucent, and Canonical, with leadership roles in three successful startups: DrivePhone (IPO), Sipura (acquired by Cisco), and Arrikto ($10M Series A). An active open source contributor, he served on the Kubeflow Steering Committee and helped lead its transition from Google to the CNCF.
Mike Bacus
Founder
Mike Bacus has led sales, channels, OEM, BD, and PM teams, contributing to multiple mergers & acquisitions. He’s worked for innovators like Qumulo, Cisco, Vidyo, Genband, Sandvine, MegaPath, ADTRAN, and Tech Data. He’s developed, sold, and supported software solutions through HPE, SAP, Accenture, AT&T, NCR, Genesys, and more. Mike holds a Bachelor of Science in Industrial & Systems Engineering and a Sales Interface Engineering Certificate from the University of Florida.
Pete Graner
Technical Advisor
Pete Graner is a tech executive with 30+ years in software engineering, cloud infrastructure, and operations and incident management. Pete has worked for some of the largest names in technology, such as Stripe, Arrikto, Oracle OCI, Canonical, HP and Red Hat, optimizing infrastructure and scaling global teams.
A U.S. Army combat veteran, Pete served on many real-world deployments including Panama, Iraq, Liberia, Bosnia to name a few. He specializes in cloud computing, security, automation, and large-scale infrastructure, with a passion for high-performing teams and strategic transformation.
Technical Advisor
Dr. Satyam Priyadarshy is a recognized pioneer in AI, Data Science, Big Data, and Digital Transformation. He was the first Chief Data Scientist in the Oil & Gas industry at Halliburton and has held senior roles at Acxiom, AOL, and Network Solutions. He currently serves as Senior Advisor at Global Quantum Intelligence and as a visiting professor at institutions including IIT Bombay, Virginia Tech, and Oklahoma State. He has also served as Senior Fellow at George Mason University.
Author of 56 papers and 10 patents, Dr. Priyadarshy has delivered over 150 keynotes worldwide and has been featured in Forbes, Chemical & Engineering News, and The Scientist. His work has been cited in O’Reilly books and covered by CNBC and other major media outlets.
Technical Advisor
Dr. Agus Sudjianto is a renowned, pioneering leader in model risk management. At Wells Fargo, he was EVP, head of Model Risk and a member of the Management Committee. At Lloyds Banking Group in the UK, he was the Modeling and Analytics Director and Chief Model Risk Officer. At Bank of America, he was an executive and head of Quantitative Risk. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company.
Agus is an Executive in Residence for the UNC Charlotte School of Data Science, and advisor for the Center of TAIMing AI. He holds several U.S. patents in both finance and engineering. He has published numerous technical papers and is a co-author of Design and Modeling for Computer Experiments. He holds masters and doctorate degrees in engineering and management from Wayne State University and the Massachusetts Institute of Technology.
Technical Advisor
James Wu is a recognized leader in enterprise software development, excelling in machine learning and open-source community growth. Over his twenty-plus year career with industry titans including Google and Microsoft, James has delivered cutting-edge capabilities through highly secure and throughput-optimized platforms. His developments include building an ML pipeline platform that enabled Google-sized usage of managed and open source services.
James’ recent work at Google included Generative AI development, Gemini fine tuning, and Batch Prediction. Among many developments with Microsoft, James and his team delivered the SaaS architecture for PowerBI, including complex integrations.