Sensi.AI builds audio-based care intelligence for senior care operations, deployed across Node.js, React, AWS, and Kubernetes infrastructure. The tech stack reveals a full-stack product company: frontend and mobile clients (React, React Native), backend services (Node.js, adopting Nest.js), cloud infrastructure (AWS, GCP, Azure), and AI/LLM integrations (LangChain, LlamaIndex). Hiring momentum skews toward engineering and product (15 of 29 open roles), while pain-point signals — scaling cloud infrastructure, reducing production downtime, streamlining deployment — indicate Sensi is past MVP and managing the operational complexity of a cloud-native SaaS platform serving regulated industries.
Notable leadership hires: Head of Legal
Sensi.AI develops a 24/7 care monitoring platform powered by audio technology, targeting home care agencies and their operations teams. The product delivers what the company describes as a 360-degree view of senior physical, emotional, and cognitive needs — a differentiator in an industry historically lacking real-time visibility. Active projects span multilingual conversational AI, multi-turn dialogue across product lines, IoT installation workflows, and privacy compliance frameworks, reflecting both horizontal product expansion and the regulatory rigor required in elder care. Founded in 2019 and headquartered in Austin, Sensi operates with 51–200 employees and maintains hiring presence in the United States and Israel.
Sensi runs Node.js and React on AWS with Kubernetes containerization, PostgreSQL for data, and integrates LangChain and LlamaIndex for LLM functionality. Secondary infrastructure includes GCP and Azure, with tooling via GitHub Actions, Terraform, Jira, and Tableau for observability.
Active pain points include scaling cloud infrastructure, reducing production downtime, streamlining deployment pipelines, and establishing data-driven analytics processes — all consistent with a SaaS platform serving regulated home care markets.
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