TECHNOLOGY SUMMARY

RoadBotics AI is unlike anything else that exists today to assess infrastructure. RoadBotics is an infrastructure technology company that uses AI to revolutionize how governments and engineering firms make data-driven pavement management decisions. The company uses cutting-edge deep learning and a simple smartphone to disrupt the highly subjective and expensive pavement inspection process. The technology began in development at Carnegie Mellon University as a project in the Robotics Institute with the original intention of contributing to the autonomous vehicle revolution. With much mathematical effort and additional training of the algorithms, the original algorithms were commercialized to assess infrastructure. RoadBotics' algorithms have been trained to read images and automatically make decisions on road conditions. This is a result of a machine-learning technique called deep learning to train neural networks. Neural networks are the core machinery of deep learning and aims to find patterns in data. More specifically, RoadBotics is using computer vision, and through deep learning trains the algorithms. The primary training method was (and is) supervised learning, which involves feeding the equations, that make up the algorithms, labeled data.

AREA/MATURITY/AWARDS

Primary Application Area: Cyber, AI, Data, Software

Technology Development Status: Commercial Product

Technology Readiness Level: TRL 9

Vetted Programs/Awards: NACE Innovation Award 2018
Defense TechConnect Award and presenter in Tampa Bay 2018
Selected as a finalist at SXSW in the AI category 2019

SHOWCASE SUMMARY

Organization Type: Early-stage Startup (Seed)

Showcase Booth #: 6T

Website: https://www.roadbotics.com/

GOVT/EXTERNAL FUNDING SOURCES

External Funding to Date: 3.9 million seed VC