EdgeRunner AI

Safe, secure, transparent.

Own your AI.

Newsroom

Our response to 2025 National Artificial Intelligence (AI) Research and Development (R&D) Strategic Plan

Last month, EdgeRunner AI shared our recommendations with the White House Office of Science and Technology (OSTP) for the 2025 National Artificial Intelligence (AI) Research and Development (R&D) Strategic Plan. As our CEO Tyler Saltsman has written previously, we’ve entered a pivotal moment in the evolution of AI—a transformative era that, while marked by incredible progress, also presents profound questions about what comes next. Our recommendations encompass two categories: (1) prioritizing

Key Benefits.

Privacy

Ensures your IP-rich private data remains safe, eliminating the need to use the cloud. This removes risk of data interception and security breaches.

Privacy

Ensures your IP-rich private data remains safe, eliminating the need to use the cloud. This removes risk of data interception and security breaches.

Data Security

Data never needs to leave your on-prem or on-device environment. The best data strategy is not moving your data.

Data Security

Data never needs to leave your on-prem or on-device environment. The best data strategy is not moving your data.

Compliance

Simplifies compliance with new and emerging laws and regulations, as AI safety has become a major focus for Congress.

Compliance

Simplifies compliance with new and emerging laws and regulations, as AI safety has become a major focus for Congress.

Near Zero Latency

With models running locally on-device at the Edge, we now have near zero latency and never need to "phone home."

Near Zero Latency

With models running locally on-device at the Edge, we now have near zero latency and never need to "phone home."

Lower Costs

Zero hosting costs, unlike using cloud services and third-party APIs.

Lower Costs

Zero hosting costs, unlike using cloud services and third-party APIs.

Sustainability

Running on-device means you don't need to provide power and energy intensive resources in the cloud.

Sustainability

Running on-device means you don't need to provide power and energy intensive resources in the cloud.

Flexibility

Hardware and chip agnostic, can run anywhere on only 4GB of RAM.

Flexibility

Hardware and chip agnostic, can run anywhere on only 4GB of RAM.

Explainability

Open, task-specific models are more effective at avoiding issues such as bias, data toxicity, and performance inconsistencies. It's important to understand “how the sausage is made” regarding AI safety.

Explainability

Own your AI

Unlike proprietary models in the cloud and general Frontier models via 3rd-party APIs, you own your AI when you host it locally on-prem or on-device.

Own your AI

Unlike proprietary models in the cloud and general Frontier models via 3rd-party APIs, you own your AI when you host it locally on-prem or on-device.

Introducing

EdgeRunner

Your personalized, air-gapped Generative AI assistant for increased productivity and operational effectiveness

Our Vision.

Personalized: We transform private data to create personalized, occupation-specific AI assistants, accelerating accurate decision making.

Agentic: We build agents that can take actions and complete tasks on behalf of the user, streamlining workflows and increasing productivity.

Air-Gapped: We develop air-gapped Generative AI technology that runs without requiring access to the cloud or internet, enhancing data privacy and security.

Industries.

Run your AI locally, securely, and sustainably.

Deploying AI at the edge for the defense and intelligence community can significantly enhance real-time analysis, decision-making, operational efficiency, and security, empowering defense personnel to operate more effectively in both combat and intelligence-gathering environments.