PROGRAM AREA // 01
STATE // ACTIVE
DOMAIN // MULTI-DOMAIN
DOMAIN // MULTI-DOMAIN
Battlespace Intelligence
Systems for detecting, interpreting, and forecasting activity across fragmented and contested operating environments.
DEIMOS-ONE STARLAB // ADVANCED RESEARCH
Intelligence for the battlespace after next.
Deimos-One Starlab conducts advanced research in battlespace intelligence, artificial intelligence, autonomous decision systems, strategic forecasting, and space systems. Our work supports U.S. government missions and select commercial programs operating at the edge of current technology.
RESEARCH STATEACTIVE
PRIMARY DOMAINBATTLESPACE INTEL
OPERATING MODELADVANCED PROGRAMS
PROGRAM ACCESSSELECTIVE
FUSED
OPERATING
PICTUREMODEL ACTIVE
OPERATING
PICTUREMODEL ACTIVE
SIMULATION // RED-7
SOURCES // MULTI-DOMAIN
ENVIRONMENT // CONTESTED
ASSESSMENT // CONTINUOUS
ENVIRONMENT // CONTESTED
ASSESSMENT // CONTINUOUS
34.2817 N
115.4921 W
GRID // 12S
115.4921 W
GRID // 12S
DECISION WINDOWCOURSE OF ACTION GENERATED
01 // MANDATE
Research the systems future missions will depend on.
Starlab investigates difficult technical and operational problems at the intersection of intelligence, warfare, artificial intelligence, autonomy, and space.
We develop models, experimental software, research prototypes, and new analytical architectures intended to improve how complex environments are understood, predicted, and acted upon.
The objective is not incremental improvement. It is to identify and construct capabilities that do not yet exist.
FOCUSHigh-consequence problems with incomplete information and changing conditions.
OUTPUTResearch findings, validated models, experimental systems, and fieldable prototypes.
CUSTOMERSU.S. government missions and select technically consequential commercial programs.
02 // ACTIVE RESEARCH DOMAINS
Hard problems. Unstable assumptions. No standard playbook.
Starlab operates across research domains where intelligence, software, autonomous systems, adversarial dynamics, and emerging technology converge. Programs are organized around the problem, not the conventional boundary of a product category.
PROGRAM AREA // 02
MACHINE
REASONING
REASONING
MODEL A
MODEL B
TOOLS
EVIDENCE
STATE // ACTIVE
MODE // ADVERSARIAL
MODE // ADVERSARIAL
Advanced Artificial Intelligence
Machine reasoning, model verification, autonomous agents, human-machine teaming, and AI systems for consequential decisions.
PROGRAM AREA // 03
STATE A
DECISION
COA 01
COA 02
STATE // ACTIVE
OUTPUT // COA
OUTPUT // COA
Autonomous Decision Systems
Architectures that evaluate incomplete information, simulate outcomes, and recommend or execute action under constraints.
PROGRAM AREA // 04
STATE // ACTIVE
DOMAIN // SPACE / STRATO
DOMAIN // SPACE / STRATO
Space and Near-Space Systems
Research and analytical support for orbital, stratospheric, sensing, communications, and autonomous mission architectures.
PROGRAM AREA // 05
STATE // CONTINUOUS
HORIZON // LONG-RANGE
HORIZON // LONG-RANGE
Future Operating Environments
Long-horizon research into emerging threats, technologies, economic systems, and strategic conditions shaping future missions.
PROGRAM AREA // 06
STATE // PROTOTYPING
OUTPUT // SYSTEM
OUTPUT // SYSTEM
Experimental Programs
Rapid research programs for high-risk technical questions that require new combinations of software, data, autonomy, and hardware.
SOURCE // 01GEOINT / IMAGERY
SOURCE // 02TELEMETRY / TRACKS
SOURCE // 03OSINT / EVENTS
SOURCE // 04MISSION / C2
BATTLESPACE
INTELLIGENCEFUSION ENGINE
INTELLIGENCEFUSION ENGINE
PICTUREFUSED
ANOMALYDETECTED
FORECASTUPDATED
DECISIONREADY
03 // BATTLESPACE INTELLIGENCE
The operating picture is never complete. The decision still has to be made.
Modern operating environments produce fragmented signals across sensors, platforms, networks, geography, human activity, and time. Starlab researches systems that fuse those signals, identify meaningful patterns, characterize uncertainty, anticipate change, and produce decision-relevant intelligence before the operational window closes.
01Multi-source intelligence fusion and synchronized operational context.
02Pattern-of-life, anomaly, threat, and indications-and-warning analysis.
03Forecasting, uncertainty evaluation, and adaptive operating-environment models.
04Machine-generated assessments designed for human and autonomous decision workflows.
04 // MACHINE INTELLIGENCE
AI that does more than generate an answer.
Starlab researches artificial intelligence systems capable of gathering evidence, coordinating specialized models, challenging assumptions, evaluating uncertainty, and supporting decisions that cannot rely on a single opaque output.
REASONINGCan the system decompose and investigate a complex problem?
VERIFICATIONCan it challenge its own conclusions and identify unsupported claims?
COORDINATIONCan multiple models, agents, tools, and evidence sources operate as one system?
DECISIONINGCan machine intelligence produce defensible action rather than additional noise?
EVIDENCE / TOOLS
STRUCTURED DATA
UNSTRUCTURED DATA
GEO / TEMPORAL
SIMULATION
EXTERNAL TOOLS
MODEL
ARBITRATIONVERIFY / CHALLENGE
ARBITRATIONVERIFY / CHALLENGE
DECISION OUTPUTS
ASSESSMENT
FORECAST
COURSE OF ACTION
CONFIDENCE
PROVENANCE
MODELSENSEMBLE
EVIDENCESYNCED
DISAGREEMENTMEASURED
PROVENANCEATTACHED
OUTPUTREADY
05 // FUTURE OPERATING ENVIRONMENTS
Researching the conditions that come after the current assumptions fail.
Starlab studies emerging technologies, strategic systems, economic transitions, adversarial behavior, and mission environments that do not yet have stable requirements, mature markets, or established doctrine.
The future does not arrive as a clean roadmap.
It arrives as weak signals, discontinuities, unexpected combinations, and technologies whose second-order effects are visible only after the system has already changed. Starlab builds models and experimental programs to investigate that terrain early.
MODEL TYPE SCENARIO NETWORK
ASSUMPTIONS CHALLENGED
HORIZON LONG-RANGE
STATE CONTINUOUS
ASSUMPTIONS CHALLENGED
HORIZON LONG-RANGE
STATE CONTINUOUS
06 // PROGRAM MODEL
Research must produce something that survives contact with reality.
Starlab programs move from technical hypothesis to working artifact through structured investigation, construction, adversarial review, validation, and transition.
Define the real problem.
Identify the operational objective, assumptions, constraints, unknowns, and failure conditions.
Map the technical terrain.
Examine available evidence, existing systems, adversarial dynamics, and unresolved research questions.
Build the artifact.
Create models, datasets, simulations, software, interfaces, or experimental systems.
Attack the assumptions.
Probe the architecture, evidence, outputs, and operating concept for hidden failure modes.
Measure what survives.
Test against representative scenarios, traceable criteria, and operationally meaningful outcomes.
Move research into systems.
Advance successful work into a prototype, operational program, or Deimos-One architecture.
07 // DEIMOS-ONE STARLAB
The advanced research arm of a company that builds operational systems.
Deimos-One develops autonomous platforms, mission software, remote-sensing systems, and operational infrastructure. Starlab investigates the intelligence architectures, artificial intelligence, decision systems, and future technologies those platforms—and the missions around them—will require next.
Research becomes software. Software becomes systems. Systems move into the field.
DEIMOS-ONEAUTONOMOUS PLATFORMS
DEIMOS-ONESENSING + MISSION SYSTEMS
STARLABAI + DECISION ARCHITECTURES
STARLABINTELLIGENCE + FUTURES RESEARCH
ONE
TECHNICAL
ARCHITECTURERESEARCH → FIELD
TECHNICAL
ARCHITECTURERESEARCH → FIELD
PROGRAM INQUIRIES // CONTROLLED INTAKE
Initiate an advanced research program.
Starlab considers U.S. government, research, aerospace, national-security, and select commercial programs involving battlespace intelligence, advanced artificial intelligence, autonomous decision systems, space systems, and emerging technology.