Asymptote Labs Raises $5.5 Million Seed Round To Build Runtime Infrastructure For AI Agents

Asymptote Labs has raised $5.5 million in an oversubscribed seed funding round to expand its runtime infrastructure platform for enterprise AI agents. The round was led by Tower Research Ventures, the venture arm of Tower Research Capital, with participation from Lytical Ventures, 1984 Ventures, and South Park Commons. Asymptote plans to use the financing to expand engineering, product development, hiring, and go-to-market efforts.

Founded by Justin D’Souza and Shukan Shah, Asymptote is building infrastructure intended to give enterprises real-time visibility, intelligence, and control over AI agents operating across employee workstations, cloud environments, and business workflows.

The company is focused on the growing challenge of monitoring agents that can access sensitive data, modify code, and take actions across critical enterprise systems. As AI agent adoption expands, Asymptote believes security and engineering teams will need a shared runtime data layer to understand agent behavior and manage associated risks.

At the core of the platform is Beacon, Asymptote’s MIT-licensed open-source telemetry layer for AI agents. Beacon captures activity across Claude Code, Codex, Cursor, and more than 20 additional agent harnesses, then normalizes that activity into a common runtime data model that extends the OpenTelemetry standard.

The architecture gives organizations a unified view of agent activity while allowing them to retain ownership of their data. For developers, Beacon can also carry knowledge and context across coding sessions so insights from previous work are not lost when individual sessions end.

Beacon has seen growing developer adoption since launching in May 2026. GitHub stars increased more than 460% in September, and the project reached No. 3 among GitHub’s global trending repositories.

Asymptote’s enterprise platform builds on Beacon with real-time detection, response, and governance capabilities. The system can intercept live agent activity and apply policy-driven guardrails at both the prompt and tool levels, helping steer agents away from unsafe behavior or block risky actions before they occur.

The company’s detection library is designed to identify issues including data leakage, insider threats, AI supply chain risks, and inefficient agent workflows. Security teams at regulated enterprises are among the platform’s early adopters.

Before founding Asymptote, D’Souza and Shah were early engineers at social engineering defense company Doppel. D’Souza helped scale Doppel’s real-time machine learning detection platform from processing approximately 1 million domains per day to more than 1 billion, while Shah worked on SOC workflow automation and agentic threat-hunting infrastructure.

The founders later joined the South Park Commons Founder Fellowship. Angel investors in Asymptote include Doppel co-founders Kevin Tian and Rahul Madduluri and Socket founder Feross Aboukhadijeh.

While security is the company’s initial focus, Asymptote sees broader applications for its runtime telemetry layer across AI agent reliability, enterprise governance, FinOps, performance optimization, and eventually self-improving agent systems.

KEY QUOTES:

“AI agents are becoming a new operating layer inside every company, but the infrastructure to understand and control them hasn’t caught up. We saw this problem firsthand when building agents at Doppel. As companies deploy thousands of agents across their infrastructure, their runtime data will become one of the most valuable assets they own. We built Beacon as open source because we believe every organization should own that data, and Asymptote enables them to act on it.”

Justin D’Souza, Co-Founder And CEO Of Asymptote Labs

“What gave us confidence in Justin and Shukan was how clearly they saw the infrastructure gap emerging around enterprise AI agents. Every company will run multiple agent harnesses across teams and environments, yet there is still no shared telemetry layer that gives organizations a complete view of that activity. Asymptote is building that system of record.”

Lucas Nelson, Managing Partner At Lytical Ventures

“We found the Asymptote team through Beacon, and it was immediately clear they understood the security risks of AI agents better than anyone we’d seen. Now our security team is putting Beacon through its paces on our own endpoints, because as agents take on real work, visibility and control over what they do can’t be an afterthought.”

Jared Young, Director Of Venture Capital At Tower Research Ventures

“As early investors in Cline, we’ve seen this kind of developer pull before. Agent activity is exploding across harnesses, while the context and learnings from those sessions stay fragmented. Beacon’s recent inflection reinforced our belief that Asymptote can become foundational infrastructure for teams building self-improving agent workflows.”

Ramy Adeeb, Founder At 1984 Ventures