Advancing the relationship between human and machine intelligence.
OODA's research agenda is applied. Each domain exists because it changes what an operator, analyst, or team can perceive, understand, decide, or execute.
The questions that shape the engineering.
- Q01
How can artificial intelligence extend perception without eroding human agency?
CURRENT DIRECTIONSurface relevant signals and patterns while keeping priorities, interpretation, and final authority with the person responsible for the outcome.
- Q02
How can spatial interfaces deliver context without increasing cognitive load?
CURRENT DIRECTIONPlace only the context needed at the moment and location of action, using progressive disclosure instead of constant overlays.
- Q03
How should persistent intelligence retain context while respecting privacy, authority, and control?
CURRENT DIRECTIONRetain only authorized context with visible provenance, explicit boundaries, expiration rules, and user-controlled correction or removal.
- Q04
How can the distance between signal and effective action be materially reduced?
CURRENT DIRECTIONFuse signals into usable context, make decision authority clear, and connect an approved course of action directly to the workflow that executes it.
- Q05
How should human and machine intelligence divide responsibility in consequential decisions?
CURRENT DIRECTIONMachines support sensing, retrieval, pattern detection, and scenario comparison; accountable people set objectives, apply judgment, and make consequential decisions.
- Q06
How can augmented systems learn from outcomes without becoming opaque or uncontrollable?
CURRENT DIRECTIONUse traceable feedback, versioned context, measurable evaluation, and human approval boundaries so learning remains inspectable and reversible.
Priority research domains.
Research is conducted in service of deployable capability — not as an end in itself.
- Human–machine teaming
- Machine-augmented cognition
- Spatial computing
- Augmented-reality interfaces
- Multimodal intelligence
- Contextual computing
- Persistent AI memory
- Agentic systems
- Sensor and information fusion
- Adaptive interfaces
- Decision science
- Predictive operational intelligence
- Distributed intelligence
- Edge AI
- Autonomous workflow orchestration
- Real-time knowledge retrieval
- Human-in-the-loop autonomy
- AI-assisted situational awareness
- Next-generation wearable computing
- Human performance and personal autonomy
Research, prototype, instrument, deploy.
Each domain progresses through the same discipline: define the decision being improved, prototype the interface, instrument the outcome, then harden for the operational environment.
Engagement and development information is not publicly identified when confidentiality requirements, contractual obligations, or intellectual-property rights require it.
AT THE EDGE OF COMPLEXITY, WE ENGINEER THE WAY FORWARD.
You do not need to arrive with a specification. Bring us the challenge.