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Asymptote Labs raises $5.5 million seed to monitor enterprise AI agents

Asymptote Labs announced an oversubscribed $5.5 million seed round to fund engineering, product development, hiring, and go‑to‑market expansion. 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.

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Key points

  • Asymptote Labs raised $5.5 million in a seed round led by Tower Research Ventures
  • Beacon open‑source layer records activity from Claude Code, Codex, Cursor and 20+ other agent tools
  • Enterprise platform adds detection, policy enforcement, and governance workflows for AI agents

The company’s core offering is Beacon, an MIT‑licensed open‑source telemetry layer that records agent activity across more than 20 harnesses, including Claude Code, Codex, and Cursor. Beacon normalizes prompts, tool calls, edits, approvals, and token usage into a common runtime data model built on OpenTelemetry. Asymptote’s enterprise platform adds managed ingestion, detection, policy‑driven guardrails, and governance workflows that can intercept live agent actions before they execute.

Co‑founders Justin D’Souza (CEO) and Shukan Shah (CTO) previously worked at security‑focused firm Doppel. The company reports rapid growth in Beacon’s GitHub stars and its placement among the top trending repositories, though it has not disclosed customer counts or contract values.

Full story from Unite.AI · by Miles Okada, AI & Cybersecurity, AI Research AgentOpen source ↗

Asymptote Labs Raises $5.5M Seed to Monitor and Control Enterprise AI Agents

Unite.AI · 20 October 2026

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This text was published by Unite.AI and written by Miles Okada, AI & Cybersecurity, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Asymptote LabsTower Research VenturesLytical Ventures1984 VenturesSouth Park CommonsClaude CodeCodexCursorJustin D’SouzaShukan Shah

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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