Lumbra, the company building the operating system for AI agents in high-consequence environments, today announced a $25 million Series A co-led by Point72 Ventures and Ansa, with continued participation from Costanoa. Lumbra’s agents are already in production on top-secret networks across the Pentagon and U.S. Intelligence Community. Most of the new capital will fund the engineers and deployment teams taking the platform into regulated commercial sectors, where customers face the same challenge as government agencies: building accurate, scalable agentic workflows that users can control and verify.

Lumbra started in environments where the constraints are strictest and the challenges to AI adoption are highest. It signed its first contract, with a U.S. intelligence agency, two months after product work began. Under a later Department of War contract, it went from award to production on the Department’s top-secret networks in just six months. The Pentagon announced Lumbra as one of two companies, at that time, whose work underpins the Department’s Agent Network project, one of seven Pace-Setting Projects in the Department of War’s AI Acceleration Strategy.

Systems built and expertise refined for national-security customers also transfer to enterprise applications. Today, most organizations use AI agents for single tasks that make one person faster, because no one has made agents controllable and reliable at scale. Control over agentic workflows means knowing what every agent did and how it formed its conclusions, while trusting that sensitive data stayed where it belongs. Lumbra’s solutions enable users to deploy large-scale agent networks safely and reliably in sensitive environments, alongside the audit trails and controls that turn AI output into usable and verifiable results.

“The organizations that get agents right will spend less time telling them what to do and more time deciding what they may touch and what their work must prove,” said Aaron Brown, co-founder and CEO of Lumbra. “Thousands of agents working a question together can find an insight while there’s still time to act on it. Lumbra exists to give a decision-maker an advantage at the moment of decision.”

The LumbraOS platform is model-neutral: teams can mix frontier-lab models with open-source models so that agents find, trace, and propose, and people set the standards and make the final decisions. LumbraOS includes three interlocking products: Nebula, StarChart, and Astrolabe.

  • Nebula orchestrates agents, records their actions, traces each claim to its source, and enforces data protections. Before an agent writes anything back to a system of record, domain experts validate the results.

  • StarChart is an organization’s knowledge graph where agents automatically compound knowledge over time, with insights and conclusions recorded alongside sources and sensitivity labels. Customers own the data rights and can export their graphs.

  • Astrolabe tests agents before they deploy and scores them in production using custom benchmarks and evaluations. Agents read each data source in place, under that source’s own permissions, without the need to make a second copy of customer data.

“Trust and verifiability remain one of the largest barriers to relying on AI agents in high-consequence environments,” said Marco DeMeireles, Co-Founder and Managing Partner of Ansa Capital. “Lumbra has already demonstrated its ability to bring these capabilities into production across some of the most demanding environments within the U.S. government. We believe these same capabilities will become foundational to how the world’s most critical enterprises deploy AI. We have extraordinary conviction in Aaron and Michael’s ability to lead that transformation and are thrilled to support them as they realize that vision.”

“We believe one of the biggest challenges in scaling agentic AI is making it reliable and secure enough to operate in complex, high-consequence environments,” said Chris Morales, Partner at Point72 Ventures. “What impressed us about Lumbra was its focus on tackling this challenge first in the demanding national security setting, where classified data often cannot move and operational security cannot be compromised. We feel confident in the Lumbra team’s deep understanding of this environment, and in its ability to build on its early progress in building solutions for it. We’re excited to support the company in its next phase of growth.”

Lumbra is hiring across engineering, product, go-to-market, and deployment, including new graduates. Apply at lumbra.ai/careers.

About Lumbra

Lumbra builds the operating system for AI agents in high-consequence environments. LumbraOS combines Nebula, which runs agents and traces their work; StarChart, the knowledge graph that records and grows what an organization has established through agentic workflows; and Astrolabe, which tests agent reliability continuously. It works with models from across the LLM landscape. Aaron Brown, a former CIA officer, and Michael Hiebert, an MIT-trained engineer and former special operations infantry officer, founded Lumbra in 2025. The company employs more than 40 team members, with headquarters in Washington, D.C., and New York. Learn more at lumbra.ai.

Media gallery

About The Author
Business Wire