AI Built for National Security
Powering the Intelligence Community’s AI Transformation
At BTI360, our vision is to power the IC’s AI transformation with solutions that are powerful, scalable, and cost-effective. We help organizations move beyond isolated AI pilots and into production-ready capabilities that amplify human expertise, accelerate decision-making, and enable entirely new ways of operating.
01 / Workforce Multiplication
From Workforce Support to Workforce Multiplication
AI should do more than save a few minutes a day.
The goal is workforce multiplication: enabling analysts, operators, and mission teams to do more, make better decisions, and focus on higher-value work. Our solutions allow users to move up the cognitive stack from performing repetitive tasks to using their judgment, intuition, and decision-making skills.
Every solution we build is tied to clear success metrics and measurable mission outcomes. Our data scientists work alongside mission and technical teams to define KPIs, evaluate performance, and ensure AI investments deliver meaningful value.
02 / Scalable Solutions
Prove It with an LLM.
Scale It with an SLM.
Most organizations face a fundamental tradeoff:
Good. Fast. Cheap. Pick two.
Large language models have demonstrated extraordinary capabilities across a wide range of problems. Their flexibility makes them an excellent platform for prototyping and proving new concepts. But that flexibility and breadth come with significant computational and financial costs, especially for organizations operating at national security scale.
BTI360’s Approach
Prove It with an LLM
Use frontier models to rapidly validate capabilities, workflows, and mission value.
Scale It with an SLM
Once the solution is proven, optimize it with smaller, mission-specific models designed for performance and efficiency.
The Result
Good.- Fast.
- Cheap.
Rather than forcing every problem into a single AI approach, BTI360 helps customers select the right tool for the mission—from frontier LLMs to specialized SLMs to classical machine learning techniques.
Flexible
- Large Language Models
- Small Language Models
- Classical Machine Learning
Scalable
03 / Knowledge Engineering
Knowledge Engineering
The Foundation of Trusted AI
Models are only part of the solution. The real challenge is capturing expertise, structuring knowledge, and ensuring systems consistently apply the right context at the right time.
We call this Knowledge Engineering: the discipline of turning tradecraft expertise into executable, scalable systems.
Knowledge Engineering is a systematic method for capturing explicit and implicit tradecraft and applying it to mission data.
Our approach captures the nuances of tradecraft developed through years of subject matter expertise. This expertise is structured, versioned, and continuously updated, so it remains current as missions, policies, and priorities evolve.
Tradecraft in.
Trusted systems out.
- 01 Identify tradecraft
- 02 Capture tradecraft
- 03 Automate tradecraft
- 04 Evaluate outputs
- 05 Deploy
- 06 Improve with user feedback
The result: trust. Users adopt AI when they know that it is grounded in tradecraft knowledge that is current, well-founded, traceable, versioned, and governed.
- Current
- Well-founded
- Traceable
- Versioned
- Governed
04 / Mission-Ready
Built for Mission Scale
National security missions present constraints that commercial AI deployments often ignore. Compute resources are finite. Costs matter. Security requirements are non-negotiable. Many environments are disconnected, classified, or air-gapped.
A solution that works in a laboratory or commercial cloud environment may be impossible to deploy at mission scale.
-
Finite compute -
Costs matter -
Non-negotiable security -
Classified & air-gapped
BTI360 designs AI systems with these realities in mind. By combining specialized models, knowledge engineering, and rigorous performance measurement, we help organizations deploy AI capabilities that can operate where the mission demands them.
Ready to explore what’s possible?
Talk to a BTI360 Solutions Architect about how mission-focused AI, knowledge engineering, and specialized models can accelerate your organization’s AI transformation.