NAVER D2SF Invests in Autonomous Driving Startup WhereableAI
NAVER D2SF has invested in the seed round of whereable.ai, an AI-powered autonomous driving startup, announced in a press release. Whereable.ai is developing a plug-and-play autonomous driving solution that can operate immediately in any environment without the need for high-definition maps or additional infrastructure.
Founded by the cofounders of ThorDrive, whereable.ai utilizes self-supervised learning to recognize real-time road conditions and adapt to environmental changes. The technology processes data directly on devices, allowing flexible adjustments to driving locations and routes according to customer needs.
The startup has already secured a project at Incheon International Airport, where 10 autonomous indoor transport vehicles are undergoing test runs. Official operations are set to begin in the first half of 2025. Whereable.ai aims to expand its market to include international airports, shopping malls, resorts, golf courses, campuses, and industrial facilities.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 31 Anthropic IPO Filing Details Nearly $900 Billion in Future Obligations Oct 31 Baseten Set to Raise Funding at Up to $30 Billion Valuation, Bloomberg Reports Oct 31 Talky Labs Raises €1.5 Million for AI Accounting Platform Oct 31 Ares Intelligence Raises €2.9 Million for AI Adoption Planning Oct 31 Pixel Systems Raises €2.7 Million for AI Content DetectionMore from Robotics
Oct 31 Agility Robotics Expects $465 Million Raise as SPAC Merger Nears Close Oct 29 Altman Says OpenAI Will Aim Its Robots at Building Data Centers Oct 29 Scale AI and Hugging Face Release FineART Robotics Dataset and Model Oct 29 Foundry Robotics Raises $100 Million for Robotic Assembly Factories Oct 29 Shopify Cuts AI Serving Costs 90% as NVIDIA Details European Retail DeploymentsRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Körber Invests in NAiSE for Mixed Robot Fleet Management
Rivian Buys Third Dimension AI for Driving Simulation
Neusoft Details China's Scenario Based Approach to Automotive AI
Volkswagen Builds Autonomous Vehicle Data System With NVIDIA, Microsoft and Voxel51
IBM Ventures Invests in Leena AI
Daily AI Brief: the AI news that matters, in your inbox.