Evercoast: Multimodal Data for Robotics & Simulation Teams | DataTribe Challenge 2025 Finalist Pitch

Description
Recorded at Cyber Innovation Day 2025, the culminating event of the DataTribe Challenge, where five exceptional startups take the stage after weeks of hands-on coaching. As finalists, they represent some of the most promising emerging technologies in cybersecurity, gaining exposure to leading investors, industry executives, and strategic partners while showcasing their breakthrough innovations.
Evercoast (2025 DataTribe Challenge Winner) introduces a platform that teaches AI how the physical world works: a Spatial AI engine that fuses multimodal sensor data into coherent, simulation-ready models, enabling robotics, AI, and cyber-physical systems teams to cut development cycles, improve real-world accuracy, and strengthen system resilience.
Learn more:
Website: https://cid.datatribe.com
LinkedIn:   / datatribe-  

Chapters
00:00 – Intro: The need for real-world data in physical AI
00:40 – The shift toward physical AI and industrial impact
01:30 – The data gap: Why physical AI lacks internet-scale datasets
02:20 – Multimodal sensor proliferation and integration challenges
03:30 – Introducing Evercoast: A platform for unified physical-world training data
04:20 – Sensor fusion: Spatial calibration, temporal sync & physics-rich data
05:10 – Customer examples: Air Force, Accenture, DOE, Hinge Health & research labs
06:00 – Business model: On-prem SaaS, cloud inference, dataset API
06:50 – Growth path: Land-and-expand, usage-based cloud, data network effects
07:40 – Technical foundation: Spatial ML, computer vision & simulation expertise
08:30 – Team background and prior founder experience
09:10 – Funding goals & scaling roadmap
09:50 – Judges Q&A
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