RAIC Labs

Make every pixel Searchable

Broad-area discovery, finding needles in massive imagery.

When the mission changes faster than the model...

Traditional computer vision works when you already know what to look for: collect data, label it, train a model, then run inference. As objects, sensors, conditions, and priorities change, that cycle often starts over.

RAIC takes a different approach. We detect or tile imagery, encode those results into a purpose-built embedding space, and make that representation directly exploitable—enabling search, clustering, categorization, detection, and monitoring at scale on CPUs.

Index once. Exploit repeatedly.

Extend Analyst Capacity Across Imagery Sources and Collections

RAIC gives imagery teams a common analytic foundation across sensors, sources, and mission needs, reducing dependence on bespoke model pipelines while putting more analytic flexibility directly in the hands of analysts.

Multi Sensor, Multi Source Exploitation

Operate across sensors, resolutions, providers, and imagery collections within a common analytic workflow. RAIC enables analysts to exploit diverse imagery without being constrained by a single source, sensor, or collection architecture.

Persistent Embedding Space

RAIC performs the heavy compute required to generate embeddings once, then reuses that representation for rapid search, clustering, categorization, detection, monitoring, and discovery using efficient CPU based operations.

Analyst Directed Exploitation

Give analysts the ability to pivot as the mission changes. Search for new objects, refine results, pursue emerging indicators, and adapt analytic workflows without waiting for a new model to be trained and deployed.

Explore the platform
Partners

Benefit from best-in-class capabilities, brought to you by RAIC Labs and the most trusted names in technology.

  • Microsoft
  • Esri
  • Booz Allen
  • Planet
  • Trimble
  • IBM
  • National Geographic
  • TitletownTech
  • University of Colorado Boulder
Who we serve
Military aircraft parked inside a hangar seen from above
01

Defense & Intelligence

Teams analyzing large imagery datasets across multiple sensors and mission contexts.

 Aerial view of a residential neighborhood and street grid
02

Public Safety & Municipal Operations

Agencies monitoring incidents, infrastructure, and change across the communities they serve.

 Aerial view of patterned farmland
03

Commercial Geospatial Intelligence

Commercial teams integrating satellite, aerial, and sensor-derived imagery into analytic and decision workflows.
“The ease of AI development, application, all within an intuitive interface make it exceptionally more capable than current technology.”
US Gov R&D Spectral Scientist & Bathymetrist
“Human labor is very often the limiter on processing field data. By using RAIC as a force multiplier, we can remove that barrier and accelerate our work.”
National Geographic Society
“RAIC was so efficient that we were able to apply it to our entire catalog. Now it’s part of our pipeline.”
Hobby-Eberly Telescope Dark Energy Experiment
“The time savings are very real. This used to be a multi-month process, and now it’s a rapid pipeline.”
GenLogs
“We tried building a model. Now there’s a way to do this in minutes. RAIC is going to be a game changer for search and rescue and other emergency response operations across the globe.”
The United Nations World Food Programme
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Evaluate RAIC in Your Operational Context

Bring your data and requirements. Evaluate RAIC against the problems your teams are solving today.

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