Vision and knowledge AI platform for frontline industrial operations
DeepHow sells an AI platform that captures frontline know-how and uses vision models to verify work steps in regulated industrial settings. Its stack is GCP-centric (BigQuery, Cloud Run, App Engine) with PyTorch, Ray, FFmpeg, DVC and LakeFS, which points to an in-house video ML pipeline with versioned training data. Hiring is minimal and limited to senior ops and sales roles, with GxP, QMS and CAPA themes suggesting a push into pharma and medical device buyers.
DeepHow is a privately held company headquartered in Detroit, Michigan, founded in 2018 and employing 51–200 people. It provides a platform combining knowledge capture, multilingual work instructions, photo-based visual inspection, live SOP verification and automated time-and-motion studies. Target customers are operations and quality leaders in manufacturing, pharmaceuticals, medical devices, energy and utilities. The company hires in the United States and India.
DeepHow runs primarily on Google Cloud (BigQuery, Cloud Run, App Engine, Cloud Functions) with Node.js, Python, PyTorch, Ray, MongoDB, PostgreSQL, Kubernetes, Terraform, ArgoCD and Datadog, plus HubSpot for CRM.
DeepHow is headquartered in Detroit, Michigan, United States, and also hires in India.
Hiring is currently minimal, focused on senior-level operations and sales roles in the United States and India.
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DeepHow's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.