Access the
Real World.
Help build AI that understands the real world.
We help AI labs collect large-scale, high-quality real-world datasets from environments the internet doesn't capture.
From factories and construction sites to agriculture, logistics, transportation, retail, and dense urban environments. We build custom data collection programs designed for next-generation world models.
Built for the Next Generation of Physical AI
The Problem
Why Existing Training
Data Falls Short
The physical world is where AI will live. But most training data was built for a screen.
Internet data isn't enough
Web-scraped text and images capture what people post online. Not how factories operate, how construction happens, or how supply chains move. The physical world is vastly underrepresented in existing training corpora.
Physical environments are underrepresented
Industrial, agricultural, and logistics environments are complex, dynamic, and difficult to capture at scale. No public dataset comes close to the breadth needed to train reliable physical AI systems.
Robotics requires real-world interaction data
Simulated environments don't transfer well to real deployments. Robots and autonomous systems need dense, diverse, real sensor data, across geographies, conditions, and use cases.
Diverse global environments improve robustness
Models trained on data from a handful of countries fail at global deployment. True robustness requires training data from every major physical environment on earth.
Data Types
What We Collect
Twelve environments. Hundreds of scenarios. Custom sensor configurations for every engagement.
Factory Operations
Assembly lines, robotics cells, quality inspection, material handling
Construction Sites
Heavy equipment, structural work, site logistics, worker activity
Agriculture
Crop cycles, machinery, soil conditions, harvesting, irrigation
Warehouses
Picking, packing, inventory movement, fleet operations
Retail Environments
Customer flow, shelf interactions, checkout, inventory
Transportation
Roads, bridges, traffic, cargo, multi-modal transit
Ports & Logistics
Container operations, maritime, intermodal transfer, customs zones
Healthcare
Clinical workflows, equipment use, patient environments
Dense Urban Environments
Street activity, pedestrian flows, informal markets, infrastructure
Human Activity (Egocentric)
First-person video of daily tasks, skilled trades, professional workflows
Multi-Camera Video
Synchronized multi-angle capture, 360°, fixed and mobile rigs
Sensor Data
LiDAR, IMU, depth cameras, audio, GPS, thermal, structured light
Tailored to Your Model
Custom Data
Collection
Every engagement is built from scratch around your model's requirements, not a catalog offering.
You define the parameters. We build the collection program.
Multi-camera egocentric + overhead. 10,000 hours. 3 geographies. OSHA-compliant annotation pipeline.
Strategic Advantage
Why We're
Different
Most publicly available datasets are concentrated in North America, Europe, and a handful of developed markets. We're launching in Africa, one of the world's most underrepresented physical environments for AI training, and building toward a global network.
Launching in Africa. Expanding globally.
Strategic Collection Regions
Africa
Structurally distinct from Western-centric datasets. Dense, diverse, and difficult to reproduce elsewhere. Active in Nigeria · Ghana · Kenya · South Africa.
South America
Southeast Asia
Middle East & South Asia
Long-term vision: a global network of collection partners spanning every major physical environment on earth.
Collection Network
Capabilities
Why Work With Us
We're not a staffing firm or a vendor catalog. We build bespoke data infrastructure.
Hard-to-Access Environments
We operate in industrial, agricultural, and logistics environments that most data vendors have never entered. Our on-the-ground teams are embedded in the environments we collect from.
Global Collection Partners
A growing network of local partners across Africa and emerging markets, enabling collection at geographic and environmental scale no single team could manage.
Scalable Deployments
From pilot engagements to production-scale programs. We size the operation to your data requirements and timeline.
Custom Collection Specs
Every sensor configuration, annotation schema, and metadata format is designed around your model architecture, not a generic template.
Secure Data Handling
End-to-end encryption, compliant data pipelines, and configurable privacy constraints, built for the sensitivity requirements of frontier AI labs.
End-to-End Project Management
You get a dedicated team from discovery through delivery. No hand-offs, no surprises. We own the outcome.
How It Works
Our Process
Five stages. Complete transparency at each step.
Get Started
The Next Generation of AI Will Learn From the Real World.
Let's build the datasets that make it possible.