Using Artificial Intelligence
to empower people to
live better lives.

Boulder AI has developed next-generation edge devices that incorporate the science of IoT devices and systems,

The Boulder AI Edge Devices perform real time:


And directly interface to
the Cloud to do:

Curating edge data
Device and software orchestration
Support sophisticated centralized learning and insights


Benefits to our partners and customers

  • Privacy first
  • High data fidelity
  • High data availability
  • Low bandwidth required
  • Flexible applications
  • Low latency
  • Locally collaborative for self learning

Insight that wasn’t possible yesterday.

Highest possible accuracy

Artificial Intelligence at the edge has the best possible signal to work with. Deep learning analytics analyze enormous high-resolution scenes and store or transmit highly reduced, contextual information.


A wide variety of analytic applications can be downloaded; multiple applications can run on any device simultaneously and changed, as required.


Our IoT devices run on any kind of network infrastructure, even ones that are only available intermittently.

Processing power
at the edge

We have a patent on the world's most compute capable cameras and compute nodes and enterprise-grade software stack.

Easy to

Upgrade every aspect of the IoT’s operating system and applications at the edge, transfer data, manage thousands of devices and push applications out via our app store.

Get smarter
with use

Can be configured to have data lake that gets smarter as data is analyzed across IoT devices.

Ease of

Push configurations from a central counsel to any number of devices simultaneously.

Privacy by

Highly secure key management system and privacy capability allows customers to only transmit insights, not video personally identifiable information streams.

Leverage existing installed cameras

A multi-stream compute node edge IoT device provides all the power of Boulder AI’s analytics and management tools to any currently installed IP cameras.

Deep Learning AI vs.
Pixel Detection Performance

  • High detection accuracy
  • Can layer AI models for complex Use cases
  • Can be configured to get more accurate as it is used

  • Low detection accuracy
  • Longer training required
  • Not able to provide insights based on multiple real time attributes

C-Level Executive Leadership Team

Industry veterans that have lead multiple successful companies in the IoT and Artificial Intelligence space