Measurable
Success criteria and evaluation benchmarks defined before execution, not after a demo lands.
All-source intelligence software
Create intelligence advantage through research.
Research across collection, analysis, and delivery for programs accountable to source, scrutiny, and operational evaluation.
“Operating standard for the most complex, high-stakes environments.”
For the operationTodayAnd what comes next2026
At Stratir, we pursue HARD PROBLEMS, build MEASURABLE METHODS, and invest in HIGH-PAYOFF RESEARCH with the potential to give operators and teams an overwhelming intelligence advantage.
Program standards
Adapted from ARPA-style program discipline: high payoff if it works, measurable before it ships, inspectable under review, built for transition.
Inspectable
Architecture, provenance, and agent behavior open to operator and peer review.
High payoff
Programs pursue methods that matter if they work, not incremental dashboard features.
Transition-ready
Built for field adoption through transition partners, not presentation completion.
Focus areas
Stratir invests in domains where breakthrough methods would materially affect how teams collect, analyze, evaluate, and act. The work spans all-source intelligence, cyber and data sciences, brand protection, agentic systems, adversarial security, and space cyber resilience.
01
All-Source Intelligence
From collection to brief, with the source still attached.
02
Data Aggregation
One inspectable layer where provenance is not optional.
03
Cyber and Data Sciences
Methods where computation, networks, and evidence meet operational judgment.
04
Brand & Impersonation Intelligence
See impersonation campaigns before reputational damage sets.
05
Agentic AI Systems
Bounded agents intelligence workflows can trust.
06
Adversarial Security Research
Authorized offensive work with artifacts that survive review.
07
Space Cyber Research
Ground segment to orbit: cyber resilience for space systems.
About Stratir
Stratir exists to create intelligence advantage that reaches the field. We run research programs against defined challenge problems, evaluate methods under operational conditions, and transfer releases that hold up in live work.
read more about the labFrom the lab
Field briefs, methods, and research outputs from active programs.
Signal Canvas, Veronica OSINT, and Argus OS. Inspectable engines published for audit, extension, and community challenge.
View open releases
