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Partner

Saaya Pal

Smart Money RatingBased on the data VC Catalog holds.

Smart Money Rating: 98 out of 100

Partner, Jump Capital

  • AI models & AI infrastructure
  • Cybersecurity
  • Agent governance
  • Agent observability
  • Agent security
  • Cyber physical security
  • Edge inference
  • Inference infrastructure
  • Inference routing
  • Infrastructure security
  • Semantic dlp
  • Systems resilience
Firm
Jump Capital
Title
Partner
Role
Partner
Known as
Investor
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Record updated 17 September 2026

About

I’m spending a lot of my time thinking about what happens when AI stops being a demo and starts running real parts of the business. The interesting problems tend to show up in a few places: Governing AI Agents in the Real World As systems move from copilots to autonomous agents, security and control start to break down. I’m interested in the infrastructure that defines what agents are allowed to do, who they can interact with, and how risk is enforced while they are operating. That includes: Intent-aware data security built for AI workflows Observability and audit trails for autonomous systems Identity, access, and runtime controls for both humans and agents Making Inference Work at Scale AI is now a production workload, and cost, latency, and reliability matter. I like teams building software that helps companies run and route inference efficiently across environments.

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Background

Expertise
Agent governance; Inference infrastructure; Infrastructure security; Systems resilience; Agent security; Semantic DLP; Agent observability; Inference routing; Edge inference; Cyber-physical security

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