Primordial Lab Raises $18M in Series A Funding Led by Ballistic Ventures
Nov 11, 2026 | By Devin Jacobs
SUMMARY
- Primordial Labs raised $18 million in Series A funding.
- The funds will support expansion and product development.
- Primordial Labs builds AI tools for military systems.
Primordial Labs, a New Haven, CT-based provider of a natural language command and control (NLC2) platform for military systems, has raised $18 million in a Series A funding round.
The round was led by Ballistic Ventures with participation from Squadra Ventures and Lockheed Martin Ventures.
The company will use the funding to expand its engineering, product and growth teams, deliver its platform across existing Department of War programmes and extend its technology to new platforms and allied markets.
What is Primordial Labs?
Primordial Labs develops Anura, a natural language command and control platform that allows military personnel to operate multiple systems using voice or text-based instructions.
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Military platforms often include different sensors, radios, displays and robotic systems, each with its own interface. Anura acts as a virtual teammate, giving operators a unified way to control these systems.
The platform understands the operating environment and allows crews to give instructions in natural language. It then breaks those instructions into tasks, coordinates the connected systems, carries out the actions and checks the results. It can also adjust its actions when conditions change.
Anura is designed to work across different platforms and military domains. It connects with onboard systems, uncrewed vehicles and autonomous technologies, helping operators manage complex equipment without switching between multiple interfaces.
How Much Funding Has Primordial Labs Raised?
Primordial Labs has raised $18 million in its Series A funding round. The company has not disclosed its total funding raised or details of previous investment rounds.
Who Invested in Primordial Labs’ Series A?
The $18 million Series A round was led by Ballistic Ventures.
Other participating investors include:
- Squadra Ventures
- Lockheed Martin Ventures
Why the Funding Matters
Primordial Labs will use the funding to expand its engineering, product and growth teams.
The company also plans to deliver Anura across Department of War programmes already under contract and extend the platform to additional military systems, operating domains and allied markets.
The investment will support the company's work to make it easier for military personnel to coordinate sensors, communications equipment and autonomous systems through a common interface.
Who founded Primordial Labs?
Primordial Labs was founded in 2021 by Lee Ritholtz and Adrian Pope. The company is headquartered in New Haven, Connecticut.
"Crews on every platform are being asked to employ more capability with fewer people, much faster, and with less time for training. Anura provides humans and machines with a shared understanding of the mission and operating context, making systems easier to field, use, and learn," said Lee Ritholtz, co-founder and CEO of Primordial Labs.
Market and Business Growth
Primordial Labs has integrated Anura across more than a dozen crewed and uncrewed platforms in land and air operations.
In October, the company announced a master teaming agreement with General Dynamics Land Systems to bring Anura to ground combat vehicles across its portfolio, including the Abrams tank.
In aviation, Primordial Labs is delivering licences for small uncrewed aircraft systems to multiple Army and special operations units. These products are also available through the Army's UAS Marketplace.
What Happens Next?
Primordial Labs plans to expand its teams and deliver Anura across military programmes already under contract.
The company will also work to bring its platform to additional crewed and uncrewed systems, new operating domains and allied markets. Beyond defence, it sees potential applications in industries such as mining, energy, logistics and public safety, where people increasingly work alongside intelligent machines.
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