Kumar Shivang
CTO
Palo Alto, California, United States
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Kumar Shivang is the Co-Founder and Chief Technology Officer of Risa Labs, an AI company focused on building autonomous systems for healthcare and enterprise operations. At Risa Labs, he leads the development of AI-native platforms that combine agent orchestration, reinforcement learning, simulation, and workflow automation to solve complex real-world problems, including oncology prior authorization, medical reasoning, and clinical trial matching.
Prior to Risa Labs, Shivang co-founded Urban Health, a digital health platform that served hundreds of thousands of users and helped advance personalized wellness through AI-powered interventions. He holds a B.Tech. in Aerospace Engineering from IIT Kanpur and has spent his career building products at the intersection of artificial intelligence, healthcare, and large-scale distributed systems.
His current work focuses on the future of autonomous organizations, exploring how operating systems, simulations, and multi-agent architectures can enable humans and AI agents to collaborate at enterprise scale. Through BOSS (Business Operating System and Simulation), he is helping pioneer a new generation of AI-native infrastructure designed for continuous learning, observability, and autonomous execution.
Area of Expertise
Topics
BOSS: Reinforcement loop at Kernel level
Business Operating System and Simulation: Building Autonomous Organizations with AI
Organizations today operate through thousands of workflows, decisions, approvals, and human interactions spread across fragmented software systems. While AI agents are becoming more capable, most enterprises still deploy them as isolated copilots rather than as participants in a coherent operational system.
This talk introduces BOSS (Business Operating System and Simulation), a platform designed to model, simulate, and operate complex organizations using AI-native primitives. BOSS combines a graph-based representation of enterprise knowledge, reinforcement learning feedback loops, and agent-native execution environments to create a continuously improving operating layer for both humans and AI agents.
At its core, BOSS provides a simulation environment where organizations can model workflows, decisions, resources, policies, and outcomes before deploying changes into production. Every action performed by humans or agents is observable, traceable, and incorporated into learning loops that improve future execution.
The platform is built around four abstraction layers:
- LightHouse – interoperability and knowledge integration into a unified GraphDB
- Orchestrator – dynamically selects, composes, and optimizes workflows
- Workflows – self-healing DAGs that coordinate complex organizational processes
- TaskResolvers – deterministic or agentic execution units responsible for specific outcomes
Attendees will see how Business Operating System and Simulation enables organizations to move from static workflows to adaptive systems capable of reasoning, learning, simulation, and autonomous execution.
Real-world examples include autonomous oncology operations, no-touch prior authorization workflows, medical reasoning systems, clinical trial matching, and reinforcement-learning environments for scientific discovery, including DNA origami nanobot design.
The session will explore how simulation-first organizations can continuously optimize operations, reduce execution costs, improve decision quality, and create an auditable path toward enterprise autonomy.
Kumar Shivang
CTO
Palo Alto, California, United States
Actions
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