Remote monitoring and home-based care platform for chronic disease management
CopilotIQ delivers high-frequency, direct-to-patient care for older adults with chronic conditions through a software platform paired with connected in-home devices. The tech stack is AWS-native (EKS, Lambda, DynamoDB, RDS) with strong DevOps maturity (Docker, Kubernetes, Jenkins, ArgoCD), and the project list reveals a company in scale-up mode: building agentic AI for enrollment, infrastructure-as-code deployments, and financial systems for operational rigor. Active hiring across healthcare, engineering, product, and leadership roles, combined with pain points around public-market readiness and cost-efficiency, signals preparation for growth or exit.
Notable leadership hires: Product Director
CopilotIQ operates a care delivery platform that shifts chronic disease management from episodic clinic visits to frequent remote monitoring. The company serves older Americans with conditions like diabetes and hypertension, employing nurses and providers to deliver care through software and connected devices. Current projects center on three vectors: clinical (hospital-at-home, readmission reduction, care orchestration pathways), operational (scalable financial systems, cloud infrastructure, disaster recovery), and commercial (AI-powered enrollment automation, engagement optimization). The 51–200 employee footprint, based in Nashville, is weighted toward healthcare and engineering roles.
AWS (EKS, Lambda, DynamoDB, RDS, Route 53, CloudWatch). DevOps tooling includes Docker, Kubernetes, Jenkins, and ArgoCD. Infrastructure-as-code deployments and cloud-native service architecture are active projects.
Remote patient monitoring, hospital-at-home programs, agentic AI enrollment automation, intelligent care orchestration pathways, and cloud-native infrastructure scaling. Also building financial systems and preparing for external audit.
CopilotIQ'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.