EdgeRunner AI
Bellevue, US · Founded 2024 · 29 employees on LinkedIn · 5 known investors
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EdgeRunner develops domain-specific Small Language Models (SLMs) that run locally on-device, isolated from external networks, to address data privacy, latency, and cost concerns. Its generative AI is aimed at military and enterprise users seeking to turn unstructured data into intelligence accessed through natural-language conversation.
Also known as EdgeRunner
Founders & leadership
EdgeRunner AI was founded in 2024 by Colton Malkerson and Tyler Xuan Saltsman.
Board
Investors · 5
Also in the syndicate · 2
Funding
SEC filings, press & company announcements$29.5M disclosed across 3 of 4 rounds · 2024–2025
- $12MSeries AMay 2025 · 3 sources
Alumni Ventures, HP, Madrona
Source ↗
▶$12MraisedMay 2025 · 9 investors · Other TechnologyRule 506(b)
- Tyler SaltsmanExecutive Officer, Director
- Colton MalkersonExecutive Officer, Director
- Matt McIlwainDirector
- Dan ScholnickDirector
- Offering amount
- $12M
- Amount sold
- $12M
- First sale
- Apr 2025
- Incorporated
- Corporation, Delaware, 2024
- Federal exemptions
- 06b
▶$5.5MraisedJun 2024 · 7 investors · Other TechnologyRule 506(b)
- Tyler SaltsmanExecutive Officer, Director
- Dan ScholnickDirector
- Colton MalkersonExecutive Officer, Director
- Offering amount
- $5.5M
- Amount sold
- $5.5M
- First sale
- Jun 2024
- Incorporated
- Corporation, Delaware, 2024
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026EdgeRunner AI develops domain-specific generative AI that runs locally on end-user hardware rather than in the cloud. Its platform is positioned for defense and warfighter use, with models and assistants that execute directly on laptops, mobile devices, vehicles, and other edge hardware, with or without network connectivity, so they can be used in disconnected, remote, or contested environments. The company frames its approach around three pillars: domain-specific models adapted from private data, agentic capabilities in which AI agents take actions and complete tasks for the user, and on-device, air-gapped execution that does not require internet or cloud access.
The stated benefits of the platform include keeping sensitive or proprietary data local to avoid transmission to external cloud services, near-zero latency from local execution, hardware-agnostic integration with existing devices and secure environments, and mission adaptability through models tuned to particular operational domains, workflows, and data sources. The platform also supports a "bring your own models" capability, allowing third-party or government-developed models to be deployed and run inside the EdgeRunner runtime.
Beyond defense and intelligence, the company markets edge AI deployment to manufacturing, transportation, oil and gas, health care, and financial services, citing use cases such as real-time decision support, cost reduction, safety, privacy preservation, and operation in remote or critical environments.
Business model
EdgeRunner AI provides an on-device generative AI platform and domain-specific models deployed into customer environments and hardware; the company also offers its product to Department of War users at no cost according to its website.
Traction
Collaboration with the U.S. Army Artificial Intelligence Integration Center on the EdgeRunner-Camo model and availability of the product to Department of War users at no cost.
Latest developments
The company announced EdgeRunner-Camo, a warfighter LLM built with the U.S. Army Artificial Intelligence Integration Center, reported to cut error rates by 37% across personnel, logistics, training, policy, weapons, and tactics tasks, building on AI2C's CamoGPT platform launched in 2024. EdgeRunner is also stated to be available to Department of War users at no cost.
▸Full profile — market position, technology, go-to-market
Market position
Positions itself as a provider of domain-specific, on-device AI for the warfighter, contrasted with cloud-hosted general-purpose AI services that require sending data to external infrastructure.
Local, air-gapped execution that keeps data on-device, operation without connectivity, hardware-agnostic deployment onto existing systems, domain-tuned models, and support for running externally developed or government models inside its platform.
Technology
Domain-specific large/small language models and agentic assistants that run on-device and air-gapped, without cloud or internet connectivity. The runtime is described as hardware agnostic, operating on laptops, mobile devices, vehicles, and edge hardware, and supports deploying third-party or government-developed models within the same secure environment. A co-developed model, EdgeRunner-Camo, targets Army domains including personnel, logistics, training, policy, weapons, and tactics.
Go-to-market
Direct engagement via demo requests on the company website, free access for Department of War users, and co-development with U.S. Army organizations such as the Artificial Intelligence Integration Center (AI2C).
Primarily the defense and intelligence community and individual warfighters, including Department of War users; the company also targets manufacturing, transportation, oil and gas, health care, and financial services organizations.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 3
launches, deals, and filingsThe company's site states EdgeRunner is now available to DoW users at no cost, with free onboarding.
EdgeRunner AI worked with the U.S. Army's AI2C to develop the EdgeRunner-Camo model, successor context to AI2C's CamoGPT platform.
EdgeRunner AI and the U.S. Army Artificial Intelligence Integration Center (AI2C) introduced EdgeRunner-Camo, a warfighter-focused LLM reported to reduce error rates by 37% across personnel, logistics, training, policy, weapons, and tactics domains. The work follows CamoGPT, a chat-based generative AI platform launched by AI2C in 2024 that ran on NIPRNet and handled Impact Level 5 (IL-5) data, including Controlled Unclassified Information.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 1
primary sources listed
- EdgeRunner AIedgerunnerai.com · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does EdgeRunner AI do?
- EdgeRunner AI builds domain-specific, on-device generative AI assistants for defense and other regulated industries.
- Who founded EdgeRunner AI?
- EdgeRunner AI was founded by Colton Malkerson, Tyler Xuan Saltsman in 2024.
- Who are EdgeRunner AI's investors?
- EdgeRunner AI's investors include Alumni Ventures, Four Rivers Ventures, Madrona Venture Group.
- How much funding has EdgeRunner AI raised?
- EdgeRunner AI has disclosed $29.5M raised across 3 of its 4 known rounds.
- Where is EdgeRunner AI headquartered?
- EdgeRunner AI is headquartered in Bellevue, US.