Founder & CEO
Profile summary: MBA in Business Administration and Management, General at University of Pennsylvania - The Wharton School

Singulr offers an enterprise AI control plane that discovers, monitors, and enforces policy compliance for all AI workloads—including custom models, third‑party services, and embedded AI features—in real time. The platform provides continuous risk scoring, audit‑ready logs, and a unified dashboard that integrates with existing security and identity tools, enabling large organizations to govern AI usage, reduce compliance and financial risk, and maintain operational agility.
Raised to date
$10MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round


$10M · Seed
Announced Feb 2025
Disclosed cumulative: $10M
Enterprises increasingly deploy dozens of AI applications, custom agents, and embedded AI features across departments, many of which operate without visibility to IT or security teams. This lack of runtime oversight creates a gap between documented AI policies and actual behavior, leading to compliance, financial, and trust risks.
Singulr provides an enterprise AI control plane that continuously monitors and enforces policy compliance for all AI workloads, whether they are internally built models, third‑party services, or embedded features in SaaS tools. The platform discovers AI assets across the organization, maps their data flows and permission scopes, and applies real‑time policy checks at runtime. Automated enforcement can restrict excessive permissions, disable unauthorized agents, and generate audit‑ready evidence of compliance. Administrators access a unified dashboard to view risk scores, enforce governance rules, and receive alerts when policy violations occur. By closing the AI control gap, Singulr helps organizations align AI usage with regulatory, financial, and trust objectives while maintaining operational agility.
Primary customers are large enterprises and regulated organizations that run multiple AI models, agents, or embedded AI services and need centralized governance and risk management.