Miru Labs

Miru Labs, Inc. develops software for security investigations and insider threat prevention. Its platform combines cloud (SaaS) and endpoint observability with behavioral analysis to detect risky employee activity such as AI data leakage, data exfiltration, privilege escalation, reconnaissance and espionage, and then responds in real time by educating users, blocking transfers, revoking access or escalating with evidence. Autonomous agents reconstruct timelines and build context when a threat is detected, generating case reports intended for HR, legal and compliance use, and a chat/copilot interface allows analysts to query activity in natural language. Customers can also define custom insider risk agents, such as a flight risk monitor or privilege escalation detector, that run continuously.

Underlying the product is a graph-native, ontology-driven design: disparate data sources are unified into a knowledge graph so that AI agents have structured context on which data to pull, which tools to connect to and how to reason across them. The company describes this deterministic structure as a way to make inherently nondeterministic investigative work faster and more explainable. A capability described as Agentic Dispatch runs autonomous investigations across alerts and domains, with agents triaging, escalating and counteracting according to a customer-defined ontology. The platform is positioned as open, allowing customers to plug in their own sources and AI models.

Beyond insider risk, the platform is described as supporting cybersecurity, trust and safety, and national security operations, with use cases including fraud prevention, threat hunting, real-time threat analysis, counterterrorism and cross-domain investigations.

Founding story

Miru Labs was founded in 2024 in the San Francisco Bay Area by Eoghan McKee, Quang Pham and David Pigott. The founders previously led teams handling cyber, national security and trust & safety investigations at eBay, Uber, Meta, DocuSign and US and EU government bodies. In that work they encountered analysts overwhelmed by data volumes and siloed tooling with no reliable way to correlate signals, which informed Miru's data-first, ontology-driven approach. Early product development was guided by working with analysts handling complex investigations.

Business model

B2B software sold directly to organizations. Revenue is reported to come primarily from subscription plans for the investigation platform, offered in tiers with differing features, and deployable either in the customer's own infrastructure or via Miru's cloud service.

Subscription-based licensing of the investigation platform, with tiered plans and the option of self-hosted deployment or Miru-operated cloud hosting.

Traction

Reported to be in use by investigative analysts from an early stage, with an initial user base supported by the pre-seed round.

Latest developments

In September 2025 Miru Labs closed a $2.7M pre-seed round co-led by Seedcamp, Dreamcraft and Cadenza, with participation from Inovia Capital, Notion Capital, Plug and Play and AlphaGraph. The company said proceeds would go toward expanding the engineering team, further platform development, additional data integrations and support for initial users, with plans to introduce new products and enter additional markets.