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BlueSpace.ai

BlueSpace.ai provides assured positioning, navigation, and timing (APNT) software for autonomous systems operating in GPS-denied environments. Its BlueSpace Positioning System (BPS) leverages 4D predictive perception and direct Doppler lidar measurements to achieve less than 0.3% cross-track error, significantly outperforming the industry standard of roughly 1%. The AI-powered platform also delivers real-time mapping and situational awareness without requiring additional hardware.

Traction 8/10
Emeryville, California, United States · HQ
Founded 2019112K+ followers
  • Defense Tech
  • Autonomous Vehicles
  • Mobility & Transportation
  • Artificial Intelligence
  • Software Only
  • Enterprise Software
Updated 1 month ago

Funding

Raised to date

$3.4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

3 founders

Joel Pazhayampallil

Co-Founder & CEO

San Francisco, United States

Since Apr 2019 · 7 yrs 7 mos

  • Stanford
  • Carnegie Mellon

drive.ai Co-Founder

Christine Moon

Co-Founder & President

San Francisco, United States

Since Oct 2019 · 7 yrs 1 mo

  • Ex-Dropbox
  • Ex-Google

Google Head of Android Partnerships

Paul Foster

Former Co-Founder & CSO

  • University of Michigan
  • Georgia Tech

drive.ai Perception and Sensing

Product

Problem

Autonomous vehicles and military systems often struggle with reliable navigation in environments where GPS signals are weak, jammed, or unavailable, such as urban canyons, underground tunnels, and contested battlefields. Because GPS serves as a single point of failure for most systems, degraded signals can cause critical navigation errors, mission failure, or safety incidents.

Solution

BlueSpace.ai provides assured positioning, navigation, and timing (APNT) software that enables autonomous systems to operate reliably without continuous GPS input. The BlueSpace Positioning System (BPS) uses 4D predictive perception and direct Doppler lidar measurements to achieve high-accuracy relative positioning with less than 0.3% cross-track error, compared to the industry standard of roughly 1%. The software works with industrial-grade IMUs to reduce size, weight, power, and cost, and only requires a GPS ping once per minute instead of every second. BPS also provides real-time mapping and situational awareness capabilities without additional hardware, enabling verifiable safety and scalable deployment across defense, mining, and rail applications.

Target Audience

Primary customers include defense and military organizations, autonomous vehicle developers, and operators in the mining and rail industries that require reliable navigation in GPS-denied or contested environments.

Features

  • 4D Predictive Perception: Captures full motion of any object for enhanced perception and prediction
  • High-accuracy positioning: Achieves <0.3% cross-track error, outperforming the industry standard of ~1% drift error
  • GPS-denied operation: Maintains accuracy with only one GPS ping per minute, with selective acceptance or rejection of degraded GPS measurements
  • Direct Doppler lidar measurements: Utilizes next-generation 4D sensors for accurate positioning and navigation
  • Edge AI processing: Provides real-time mapping and situational awareness without additional hardware
  • Cost-effective design: Works with industrial-grade IMUs for significant improvements in size, weight, power, and cost (SWaP-C)
This profile is AI-generated and may contain inaccuracies.