EdgeRunner AI develops domain-specific, on-device Generative AI assistants for the military, public sector, and regulated enterprises. This technology enables secure, air-gapped AI inference with near-zero latency by eliminating reliance on cloud connectivity. The platform ensures data privacy, simplifies compliance, and provides task-specific explainable models that run locally on minimal hardware.
Funding
$5.5M 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.
Founders
Product
Problem
Enterprises face increasing risks associated with using cloud-based Generative AI services, including data breaches, compliance violations, and reliance on external APIs. Transferring sensitive data to the cloud for AI processing exposes intellectual property and increases vulnerability to interception.
Solution
EdgeRunner provides air-gapped Generative AI solutions that operate locally on existing hardware, eliminating the need to send data to the cloud. By leveraging small language models (SLMs) and on-device processing, EdgeRunner ensures data privacy, reduces latency, and lowers operational costs. The platform enables organizations to maintain complete control over their AI models and data, simplifying compliance with data residency requirements and minimizing the risk of security breaches. EdgeRunner's technology transforms unstructured data into actionable intelligence while ensuring data never leaves the on-premise or on-device environment.
Target Audience
EdgeRunner targets enterprises in sectors such as defense, manufacturing, transportation, oil & gas, healthcare, and financial services that require secure, private, and low-latency AI solutions.
Features
- Air-gapped operation: Runs without internet access, enhancing data privacy and security.
- Small Language Models (SLMs): Leverages SLMs to transform unstructured data into relevant intelligence.
- On-device processing: Enables local AI processing, eliminating the need for cloud services.
- Hardware agnostic: Compatible with various hardware and chip architectures, requiring only 4GB of RAM.
- Near-zero latency: Provides real-time responses by processing data locally.
- Data security: Ensures data remains within the on-premise or on-device environment.
- Compliance: Simplifies adherence to data privacy regulations.
- Customizable AI assistant: Offers a personalized, air-gapped Generative AI assistant for increased productivity.