AssistIQ partners with health systems and organizations to eliminate manual supply tracking through AI-powered vision that integrates seamlessly into EHRs and ERPs. Across operating and procedural rooms. every product is automatically captured and tracked, giving health systems the data they need to reduce waste, recover revenue, and keep clinicians focused on patient care and quality. By scaling this across the industry, we enable smarter supply chain decisions, more…
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
AssistIQ uses AI vision to capture every OR supply in real time—eliminating manual entry, missed revenue, and waste.
Full company description
AssistIQ partners with health systems and organizations to eliminate manual supply tracking through AI-powered vision that integrates seamlessly into EHRs and ERPs. Across operating and procedural rooms. every product is automatically captured and tracked, giving health systems the data they need to reduce waste, recover revenue, and keep clinicians focused on patient care and quality. By scaling this across the industry, we enable smarter supply chain decisions, more resilient operations, and meaningful progress toward a more sustainable healthcare industry.
LinkedIn followers
3,856
People associated on LinkedIn
53
Reported office locations
25 North St, Dublin, Ohio 45068, US
1 Westmount Square, Montreal , QC H3Z 2P9, CA
Business categories
Real Time
Health Care
Medical
Other recorded names
AssistIQ
Profile identifies a recruitment agency
No
Reported total investment
10,133,025
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Software Development
Size
11-50 employees
Headquarters
Dublin, Ohio
Organization type
Privately Held
Year founded
2022
AssistIQ has 1 open jobs in Canada as of November 6, 2026.
3+ YOECandidates need 3+ years of software development and 3+ years building computer vision systems in Python or C++, including real-time inference and deployment. Strong skills in classical computer vision, deep learning and PyTorch are required, along with experience running model evaluations and ML Ops practices.