QLAB
HARVARD UNIVERSITY INTELLIGENCE PROJECTWHY STRUCTURE
The world is recorded faster than anyone can analyze it.
Every day, terabytes of new observation are recorded, optical and radar imagery, weather, ships, flights, prices, events. Far more of the world is recorded than any team of analysts can read.
Structure automates knowledge creation from this data. We train geospatial foundation models and world-action models to synthesize and run simulations. Our Agent Worker, an AI data-scientist team, runs experiment design, analyses, and interprets the results. We can gain continuous new insight from a changing world.
Backed where research becomes infrastructure.
Structure is backed by Harvard University's QLAB Intelligence Project, NVIDIA Inception, and Google for Startups.

NVIDIA INCEPTION
STARTUP PROGRAMGOOGLE FOR STARTUPS
STARTUP PROGRAMW1 — WORLD-ACTION MODEL
w1 models world dynamics and change.
Our w1 model fuses imagery, sensors, maps, economics, infrastructure, events, and provenance into grounded world-state frames, then learns how those states evolve through space, time, shocks, and action.
OBSERVATIONS → BELIEF STATE → DYNAMICS → POSSIBLE FUTURES
ACTUAL DATA · ALPHAEARTH 2025 GLOBAL EMBEDDING FIELD · 64-D · DISPLAY AXES A12/A23/A52 · 10,681,024 ADAPTER-VALID EO OBSERVATIONS

Simulate alternative pasts and futures.
Run simulation of different interventions in specific times and locations. Highlighted overlays show year-over-year changes in the 64-dimensional field, highlighting where to investigate construction, traffic, shoreline, and land given different situations.




CASE STUDIES
DEPLOYED RESEARCH // DECISION SYSTEMS
Our impact in the field.
Structure turns world models, geospatial foundation models, and automated analysis into operational systems for institutions making high-consequence decisions.
Simulation as a Service
We provide simulation as a service to the Army for mission analysis, readiness planning, and evaluation across controlled scenarios.
- MISSION
- Redacted
- OUTCOME
- Redacted
- DETAILS
- Redacted
Scenario Planning for Special Operations
We help special operations teams run scenarios, predict likely outcomes, and plan across operational constraints before deployment.
- MISSION
- Redacted
- OUTCOME
- Redacted
- DETAILS
- Redacted
Analyst Decision Support
We make analysts more effective by measuring and understanding possible outcomes before they happen.
- MISSION
- Redacted
- OUTCOME
- Redacted
- DETAILS
- Redacted
Alternative Histories for Model Evaluation
We generate alternative histories to evaluate models against more than the single path the world happened to take.
- MISSION
- MODEL VALIDATION
- DATA
- IBTrACS V04R01 + ERA5
- RESOLUTION
- 0.25° × HOURLY
- OUTPUT
- LOSS-DISTRIBUTION ENSEMBLE
Automated Analysis at Research Depth
Granular automated data analysis applies the equivalent of a coordinated team of PhD researchers to each portfolio question.
- MISSION
- PORTFOLIO DATA ANALYSIS
- DATA
- GDELT 2.1 + CLIENT TABLES
- SERVICES
- 70+ CONNECTED SOURCES
- OUTPUT
- REPRODUCIBLE EVIDENCE PACK
Global Risk Data, Where Records Fall Short
Our geospatial foundation models augment, clean, and infer missing data across international markets where US-grade records do not exist.
- MISSION
- GLOBAL EXPOSURE COMPLETION
- DATA
- ALPHAEARTH + SENTINEL-1/2
- EMBEDDING
- 64-D GEOSPATIAL FIELD
- OUTPUT
- AUGMENTED RISK ATTRIBUTES
Foundation World and Geospatial Models
We train foundation world models and geospatial models for forecasting, simulation, and empirical research.
- MISSION
- SPATIOTEMPORAL FORECASTING
- DATA
- 10,681,024 EO OBSERVATIONS
- WINDOW
- 2022–2025 ANNUAL FIELDS
- OUTPUT
- FORECAST-READY WORLD STATE
Faculty Partnerships
We partner with faculty at leading institutions to publish emerging research in simulation and spatial intelligence.
- MISSION
- JOINT METHODS RESEARCH
- CORPUS
- 243,968 PRETRAIN LOCATIONS
- MODE
- CO-DEVELOP + PUBLISH
- OUTPUT
- REPRODUCIBLE PAPER + CODE
Faster Experiments and Conclusions
We provide data-analysis support so researchers can design experiments, test hypotheses, and reach defensible conclusions faster.
- MISSION
- EXPERIMENT ACCELERATION
- DATA
- 7,732,347 WEEKLY ROWS
- CONTEXT
- 266,432,936 RICH-CONTEXT ROWS
- OUTPUT
- TESTED RESULT + METHODS LOG
AGENT WORKER — AI DATA SCIENCE TEAM
Our Agent Worker is an AI data science team for knowledge creation.
The backend services provides automation in data analysis and integrate directly with your other agents. They do experiment design, data selection, cleaning, and preprocessing, runs the experiments, and visualize and interpret the results.
- RESEARCH LEADquestion · hypotheses · success criteria
- DATA ENGINEERfind · join · clean · validate
- GEOSPATIAL SCIENTISTlocation · scale · imagery
- MODELING SCIENTISTmodels · forecasts · simulation
- STATISTICIANbaselines · uncertainty · calibration
- CAUSAL SCIENTISTidentification · causal designs
- REVIEWERleakage · alternatives · limitations
- COMMUNICATORfinding · methods · evidence
THE HUMAN + INSTITUTIONAL STATE · NIGHT LIGHTS FROM ORBIT · NASA
WORK WITH US
Simulate alternative worlds.
Learn from every decision.
Our models and data scientist team turn fragmented observations and one-off analysis into knowledge for decision support.
HELLO@STRUCTURE.MLCDAO · TRADEWINDS SOLUTIONS MARKETPLACE
Assessed Awardable.
Ready for mission.
Our foundation geospatial models and analyst services are Awardable on the Department of War Chief Digital and Artificial Intelligence Office Tradewinds Solutions Marketplace, providing government customers a streamlined path to evaluate and acquire our technology.







