Low-power AI Brodmann17 delivers AI for mobility with dramatically reduced compute power, enabling cost-effective deployment in edge devices and low-power platforms. This presents a sales angle to customers prioritizing efficiency and TCO reduction in ADAS, telematics, and micro-mobility.

Edge to Cloud Technology is hardware agnostic and deployable from edge to cloud, offering flexibility for OEMs and Tier-1 suppliers with varied infrastructure. Use this to position Brodmann17 as a scalable perception solution that can integrate into existing automotive stacks and processing architectures.

OEM and Partners Strong backing from major investors and strategic partners (Samsung, Sony, Xilinx, Rhonda Software) signals credibility and potential for co-development, pilot programs, and faster procurement cycles with large automotive customers.

Automated DL Training The company pioneered an automated deep learning training platform for automotive-grade ADAS, enabling faster model development and updates. This can be pitched to OEMs seeking accelerated time-to-market and ongoing AI improvement with regulatory compliance.

Market Fit Early traction across mass-market vehicles, video telematics, and micro-mobility demonstrates applicability beyond traditional autos. Sales conversations can target fleets, telematics providers, and new mobility players looking to enhance safety AI while controlling hardware costs.