Structured, explainable AI for real-world decisions.
The Challenge
AI has enormous potential to improve decision-making—but many systems today fail in the environments where it matters most. In defense, national security, and critical infrastructure, decision-makers face:
- Incomplete and uncertain data
- Policy and compliance constraints
- Pressure for transparency, not just speed
Too often, AI systems act like black boxes, offering answers without rationale—unusable in environments that demand traceability, human judgment, and mission alignment.
Our Approach
At Software Factory Labs, we build AI to support human decision-making, not replace it. Our models are:
- Explainable by design
- Structured around policy, mission goals, and operational constraints
- Modular and traceable, so decision-makers can see why a recommendation makes sense
We use a patent-pending multi-agent architecture that fuses NLP, structured rules, and domain-specific logic into composable reasoning systems. This enables hybrid models that reflect both objective signals and subjective perspectives, keeping humans in control.
What We Deliver
Subjective + Objective Reasoning
Modeling behavior, intent, and motivation in complex systems
We integrate subjective inputs (like interviews and stakeholder sentiment) with system-state data to model:
- Latent drivers of decision-making
- Observed and reported behaviors
- Organizational dynamics and outcome likelihoods
These techniques support policy analysis, human terrain modeling, and decision simulation in high-stakes environments.
Automated, Policy-Aware Retrieval
Smart tools for declassification, filtering, and search
We develop structured retrieval systems that combine:
- NLP with rule-based inference
- Mixture-of-Experts (MoE) trained on policy guidance inputs
- Justification graphs tracing results to policy and precedent
These tools accelerate FOIA response, modernize document management, and reduce classification review burdens.
Human-in-the-Loop Evaluation
AI that augments, not replaces, expert adjudication
We build systems that automate early-stage analysis and triage, then present explainable recommendations for human approval. Use cases include:
- Automated Declassification: Speeding document review while maintaining oversight and compliance
- Requirements & Policy Checks: Identifying inconsistencies and gaps in operational documents before manual review
These systems improve speed and consistency without sacrificing transparency or accountability.
Cyber & Behavioral Threat Modeling
AI-powered insight into adversarial dynamics
We apply AI and simulation to model threats and behavior across:
- Cybersecurity in complex network domains
- Organizational response to information warfare
- Mission planning and network defense
Our models emphasize interpretability, adaptability, and mission impact—not just accuracy on benchmarks.
“Our models don’t just answer questions—they show why the answer makes sense.”
We build practical AI systems that help people make better decisions, under pressure, with confidence.
From insight to action.
AI can accelerate understanding—but only when designed for traceability, relevance, and real-world context.
Let’s talk about how to apply AI where it matters. Contact us