Sensi.AI sells an audio-driven care intelligence platform to home care operators, built on Python and Node.js with OpenAI, Anthropic and LangChain in production and LangGraph being adopted. That points toward agentic, multi-turn AI workflows across its product lines. Job posts also show the company turning AI inward, with internal apps, knowledge capture and onboarding automation, while finance and GTM teams work to cut manual processes.
Sensi.AI, founded in 2019 and headquartered in Austin, Texas, builds an AI care copilot for home care businesses. Its platform uses audio technology to monitor seniors' physical, emotional and cognitive needs, giving agencies continuous insight into the people they care for. The company is privately held with 51–200 employees and hires in the United States and Israel. Its hiring spans engineering, sales, finance and product, with an emphasis on senior roles.
Sensi.AI uses Python, Node.js, C++ and Ruby on AWS, GCP and Azure with Kubernetes and Kafka. Its AI tooling includes OpenAI, Anthropic, LangChain and LangGraph, and it runs HubSpot, Salesforce, NetSuite and Chargebee for business systems.
Sensi.AI is headquartered in Austin, Texas, and hires in both the United States and Israel.
Sensi.AI is implementing its care intelligence platform, building multi-turn conversational AI experiences, and automating customer onboarding and internal knowledge capture. It is also deploying onto AWS hosting.
Other companies in the same industry, closest in size
Sensi.AI'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.
