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Railspire

Railspire retrofits locomotives for up to SAE Level 4 autonomy, utilizing proprietary AI and machine learning to enhance operational safety and efficiency in rail yards and industrial settings. This technology reduces human error, increases yard throughput, and improves worker retention by creating safer and more comfortable work environments.

Chicago, United StatesFounded 202015300+ followers
Updated 4 months ago

Funding

$19.6M raised to dateRaised 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

Product

Problem

Rail yards and industrial settings face challenges in operational safety and efficiency due to human error in locomotive operation. This can lead to accidents, reduced throughput, increased asset damage, and difficulties in worker retention.

Solution

Railspire offers a solution by retrofitting locomotives with technology that enables up to SAE Level 4 autonomy, initially focusing on yard, near-yard, and industrial environments. Their AI and machine learning software enhances operational safety by increasing situational awareness and precision driving abilities. This technology reduces human factor errors, improves yard throughput, lowers railcar dwell time, and creates safer, more comfortable work environments for operators, leading to improved worker retention. The open platform design allows for integrations with adjacent technologies such as switch machine position sensors and on-board cameras.

Target Audience

Railspire's primary customers are rail yards and industrial facilities seeking to enhance safety, increase productivity, improve worker retention, and reduce damage through autonomous locomotive technology.

Features

  • Retrofitting of existing locomotives for up to SAE Level 4 autonomy.
  • Proprietary AI and machine learning software for human-led, AI-enhanced operations.
  • Precision driving capabilities exceeding human capabilities, reducing human factor errors.
  • Integration with adjacent technologies and assets, such as switch machine position sensors and on-board cameras.
  • Increased situational awareness for operators, allowing them to focus on their surroundings.
  • Software-controlled locomotive tractive effort and braking, adjusting to variables such as grade, slip, tonnage, and length.
This profile is AI-generated and may contain inaccuracies.