About Our Founder
Bertrand “Biz” Barrett is a tech innovator, problem solver, and inspirational leader whose work on coordinated autonomous BOT systems and secure orchestration anticipated ideas now widely discussed as agentic AI.
He studied with Seymour Papert and Joseph Weizenbaum during the formative period out of which the MIT Media Lab formally emerged in 1985, published 1990s work with Dr. Bon Sy at CUNY Queens College on intelligent RoBOT planning and agent-aware digital library architecture, referred to this line of work as “Automated Help” more than a decade before the current wave of discussion around personal AI agents, and later described multi-BOT coordination, reusable procedures, and protected execution across trust boundaries in the Personal Helper BOT System publication.
Academic and Intellectual Foundations
Barrett graduated from MIT in 1985 in Humanities & Engineering. Between 1993 and 1997, he completed a Master of Arts in Computer Science at CUNY Queens College, where he studied with Dr. Bon Sy. As an undergraduate, he studied with Seymour Papert and Joseph Weizenbaum during the formative period that became the MIT Media Lab. His later work did not emerge from nowhere — it grew out of an academic path shaped by human-computer interaction, learning systems, conversational computing, and formal computer science training.
1990s Publications in Autonomous Coordination
Barrett’s published work in the 1990s with Dr. Bon Sy at CUNY Queens College already showed the core themes that would later define BOTCIERGE®. In A Virtual Knowledge Architecture for Intelligent RoBOT Planning (IEEE Computer Society Press, 1993), he described an architecture in which a coach agent learns from successful and unsuccessful teams in order to anticipate and avoid cooperation failures, deadlock, repetition of effort, malfunctioning agents, and poor performance. In An Agent-Aware Digital Library Architecture for Interactive Television (1997), he described Discretion™, an agent-aware digital library architecture using virtual attorneys and interface agents to organize, filter, personalize, and mediate between users and media information servers.
Healthcare, Automation, and Enterprise Execution
Barrett’s experience is not limited to theory or patents. Across more than 25 years in software quality, data quality, automation, and enterprise systems, he has worked in healthcare and adjacent regulated environments including the Veterans Administration, Carilion Clinic, UnitedHealth Care, WebMD, McKesson/Allscripts, Optum, and CDC-related data warehousing work. That matters because BOTCIERGE® is being advanced by someone with direct experience in hospital revenue cycle management, EPIC-related work, HL7 and FHIR data environments, EDI and HIPAA workflows, healthcare integrations, enterprise reporting, and large-scale automation strategy.
Historical Influence with a Current Through-Line
Barrett’s work has been cited 97 times by 36 companies, including Meta, Amazon, Microsoft, and Google. That matters most when connected to the longer arc: early academic exposure, published work in the 1990s, patent-era orchestration concepts, and today’s continuation through BOTCIERGE® as a secure orchestration platform. Barrett was recently shortlisted for the Isle of Man Innovation Challenge 2026 for Consent-First Care Coordination Across Fragmented Systems, after BOTCIERGE® was accepted as both an Alpha Startup and an Impact Startup at Web Summit Lisbon 2025.
Selected Professional Through-Line
Barrett’s professional path connects architecture to execution. His work has included senior and lead roles in software quality, automation, data quality, enterprise testing, and regulated systems delivery across government, healthcare, finance, telecommunications, and research environments. BOTCIERGE® is presented here as the continuation of that discipline, not as a detached idea.
Relevant Enterprise and Healthcare Background
- Veterans Administration — enterprise-wide automation strategy, Eggplant architecture, and data quality initiatives
- Carilion Clinic, McKesson/Allscripts, Optum, UnitedHealth Care, and WebMD — healthcare systems, revenue cycle, integrations, and testing
- CDC-related data warehousing, HL7, FHIR, EDI, HIPAA, and enterprise reporting environments
- Certified Eggplant expert background supporting large-scale automation execution