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Primordial Labs

Primordial Labs is developing Anura, a conversational human-machine interface that translates natural language commands into autonomous actions for uncrewed systems. This technology reduces cognitive burden for warfighters by enabling intuitive control of multiple robots and complex battlefield management systems without the need for memorized scripts.

New Haven, United StatesFounded 2021182K+ followers
Updated 20 months ago

Funding

$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

SL
Funding rounds are not available yet.

Founders

Product

Problem

Warfighters face a high cognitive load when managing multiple uncrewed systems (UxS) and complex battlefield management systems, often requiring memorized scripts and specialized training. Current interfaces can be cumbersome, distracting, and limit the operator's ability to effectively collaborate with autonomous systems.

Solution

Primordial Labs is developing Anura, a conversational human-machine interface (C-HMI) that translates natural language commands into autonomous actions for UxS and other battlefield management systems. Anura allows operators to task robots and interact with software systems using verbal, mission-type orders, reducing cognitive burden and democratizing access to UxS. The system extracts and distills the operator’s intent from natural language, then translates that intent into autonomous actions for the platform to execute. Anura aims to make communication with robots more human-like, enabling warfighters to be active collaborators with autonomous systems.

Target Audience

The primary users are warfighters and analysts responsible for commanding and controlling uncrewed systems and managing complex battlefield operations.

Features

  • Conversational human-machine interface (C-HMI) that understands natural language commands.
  • Platform-agnostic autonomy enabling control of various platforms, payloads, and sensors.
  • Multi-domain, multi-agent command and control, allowing operators to task platforms individually or as a team.
  • Integration with battlefield management systems for intuitive scene management and large-scale operations.
  • Ability to task robots using natural language without requiring memorized scripts.
  • Extraction and distillation of operator intent to translate into autonomous actions.
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