
A personal emergency safety response system in the form of a revolutionary wearable that provides a Safety-As-A-Service solution to the vulnerable population. It can detect and potentially predict hazards and protect the wearer by automatically alerting guardians and/or 911/SOS using assisted AI.

A personal emergency safety response system in the form of a revolutionary wearable that provides a Safety-As-A-Service solution to the vulnerable population. It can detect and potentially predict hazards and protect the wearer by automatically alerting guardians and/or 911/SOS using assisted AI.
Product: Companion wearable with MAHI-powered environment scanning for fall detection and hazard alerts
Focus: Elder-care safety: fall detection, wander management, emergency protocol initiation
Founded / HQ: Founded 2021; headquartered in Hartland, Wisconsin
Team size: Approximately 12 employees
Funding stage: Seed (investors named; amounts and dates redacted)
Personal emergency safety and elder-care monitoring
2021
Technology, Information and Internet
Crunchbase lists a Seed round; amount and date redacted.
“Project Pitch It; UWM Research Foundation”
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AI/GenAI Engineer
Location : Wisconsin (Remote)
Job Description:
We are hiring a part-time, experienced AI/GenAI Engineer specializing in ML, CNNs, SLMs, and LLMs to join our innovative team. The ideal candidate will have a solid understanding of designing and implementing machine learning, CNNs, RAGs, and SLMs/LLMs within the context of embedded systems.
Responsibilities:
Qualifications:
Preferred Skills:
Note:
This is a part-time position to start, with the possibility of converting to a full-time role in H2 2026.