Intelligence and defense experience
Our people average 21 years of experience across intelligence, defense, national-security technology, and adjacent mission environments.
About Decision Terrain
Mission experience.
Current technical depth.
Decision Terrain brings intelligence and defense experience together with hands-on AI engineering to build a platform for persistent agent work. We serve government and enterprise organizations with software, backed by engineering and support.
Intelligence and defense context
Builders in the current AI ecosystem
Governed agents, built to be verified
01 / Experience
Built for the realities around the technology.
We began with the realities of AI adoption in defense and intelligence. Those realities also shape enterprise work: useful capabilities depend on more than model performance. Mission purpose, authorities, people, workflows, data, infrastructure, and tolerance for error all determine what can become useful.
That experience informs an AI platform organizations can build on: persistent agents, internal-system integration, customer-controlled deployment, and reviewable work. Customer teams can develop their own solutions, with optional DT engineers available along the way.
On-site and remote support
The team has supported organizations both inside mission environments and from off-site technical settings, adapting the work to the operating context.
High-trust environments
We understand the discipline, discretion, and information boundaries required when consequential technology work intersects with sensitive missions.
Current technical practice
Our experience includes hands-on contribution to widely adopted AI projects—not only observation of the market from a distance.
02 / Mission proximity
Experience close to the mission—and beyond the facility.
Decision Terrain personnel have supported organizations associated with the Fort Meade and Northern Virginia national-security communities, both on-site and through off-site technical work.
That range shapes the product. Some requirements only make sense with direct familiarity with the operating environment. Others benefit from an outside view of the assumptions and tradeoffs.
On-site experience
Working alongside mission, program, and technical teams, which informs how the platform is built.
Off-site experience
Focused engineering and research work, including open-source AI projects.
03 / Technical practice
Contributors—not spectators.
Decision Terrain contributors have worked on major open-source AI projects including Browser Use and LiteLLM. That participation keeps us grounded in how modern AI systems are actually built, integrated, operated, and improved.
We bring that technical practice to the platform and to the engineers who help customers deploy it.
01Agentic systems
Browser Use
Open-source infrastructure for agents that interact with the web and software interfaces.
Contributor experience02Model infrastructure
LiteLLM
Open-source infrastructure for working consistently across models, providers, and deployment environments.
Contributor experience04 / The standard
Context without complacency. Technical depth without hype.
Experience matters when it shows up in the product. We use mission context to decide what the platform must do, technical depth to test how it behaves, and operating discipline to ship controls you can verify.
See deployment and support options05 / Get started
See the platform.
Bring a real workflow.
Tell us, at an unclassified and non-sensitive level, what you want agents to do for your team.
Request a Demo