Key Intelligence Insight
Sensi.AI has built something more durable than a monitoring product: a proprietary audio dataset that no competitor can replicate without years of clinical deployment. The mechanism is straightforward. Every Sensi Pod installed in a senior's home generates labeled, privacy-preserving audio data that trains the model. More deployments produce better detections. Better detections attract more agencies. That flywheel, now operating inside 80% of North America's largest home care networks, is the real asset. The $98 million in cumulative funding and the 400% year-over-year revenue growth are downstream effects. The dataset moat is the thesis.
Founding Story
Romi Gubes, a software engineer who had spent years at Vonage and Cisco building large-scale mobile communication systems, co-founded Sensi.AI in 2019 alongside CTO Nevo Elmalem. The problem she identified was structural, not incremental. Home care agencies were turning away clients at scale – 89% of providers reported rejecting new business because they could not field enough caregivers. Caregiver turnover ran at 77% annually. Seniors, meanwhile, spent long hours each day alone and unmonitored. Cameras were too intrusive. Wearables went unworn. Push-button alert systems required a conscious, capable user. Gubes's insight was that audio, processed passively and continuously by AI, could close the supervision gap without requiring behavioral change from the senior. The company incorporated as Clanz Ltd. and positioned itself from the outset not as a consumer product but as infrastructure for the care agency market. That B2B orientation has held. Gubes, leading a female-founded company in a space historically underserved by venture capital, has since described the founding thesis as trusting her intuition about a problem that incumbent technology had failed to solve.
Product
Sensi's product architecture divides into two functional pillars: Care Intelligence and Operations & Growth Automation.
Care Intelligence is the core. The flagship offering, Sensi Care Copilot, deploys plug-and-play Sensi Pods throughout a senior's home. The pods capture continuous ambient audio – no cameras, no wearables – and Sensi's AI processes that audio against its proprietary dataset to surface over 100 distinct health and behavioral insights. These range from acute events (falls, calls for help) to slow-onset conditions: early cognitive decline, UTI indicators, care resistance, and mood shifts. Alerts route to care agencies with recommended actions. The senior does nothing. The system operates passively.
In April 2025, Sensi added Care Coaching with Teepa Snow, an integrated module that delivers real-time caregiver training clips triggered by behavioral changes detected in the field. The integration with Teepa Snow's Positive Approach to Care methodology connects clinical signal to caregiver skill development in the moment it is needed.
Operations & Growth Automation addresses the agency side of the business. Sally, Sensi's AI Growth Agent, handles inbound client inquiries around the clock, manages objection handling, and books assessments autonomously. Olly, the AI Ops Agent, unifies agency communications, coordinates caregiver call-outs, and automates back-office workflows. Together, these agents position Sensi not as a monitoring tool sitting alongside an agency's existing software stack, but as the operational layer running beneath it. The October 2025 announcement formalized this ambition: Sensi characterized its strategic direction as building a full AI Operating System for Senior Care.
Market, Competition & Business Performance
Market
The structural conditions for Sensi's market are compelling and worsening. The U.S. home care market is projected to exceed $107 billion in 2025. By 2030, one in five Americans will be over the age of 65. Seventy percent of adults over 65 will require long-term care at some point, and 90% of older adults prefer to remain at home rather than move into residential facilities. That preference, meeting an inadequate supply of human caregivers, defines the care gap Sensi is positioned to close.
The immediate market is home care agencies. The expansion thesis, announced alongside the Series C, extends Sensi's addressable surface area into assisted living, independent living, and continuing care retirement communities. That adjacent market is orders of magnitude larger than home care alone.
Competition
Sensi's competitive field segments into two categories: monitoring-first companies and platform-first companies.
Monitoring-first competitors include Vayyar Home, which uses radar-based fall detection, and CarePredict, which tracks behavioral patterns through wearables. Both products address real problems. Neither has Sensi's dataset depth or its audio-based passive operation, which requires no behavioral compliance from the senior.
ElliQ competes on the companionship and engagement dimension, deploying an AI social companion for isolated seniors. Thriving.ai and Cherish Health operate in adjacent care coordination and remote monitoring spaces. Zingage and Axle Health focus on home healthcare workforce management.
The more significant competitive pressure is not from any single startup. It is from the risk that larger health systems or home care franchise networks build proprietary monitoring capability internally or through acquisition. Sensi's defense is the dataset. No competitor can buy their way to Sensi's labeled audio corpus without years of field deployment. That gap is Sensi's most defensible position.
Business Model
Sensi sells to home care agencies, not to families or seniors directly. The model is B2B SaaS with a hardware component. Agencies pay for Sensi Pod deployment and a platform subscription tied to the number of seniors monitored. Pricing is not publicly listed; contracts are structured at the agency level. The go-to-market motion follows a land-and-expand pattern: agencies begin with a subset of their client base and extend coverage as clinical outcomes justify the investment.
Sally and Olly, the operations agents, likely represent an upsell surface within existing agency accounts – agencies that already trust Sensi's clinical intelligence are natural buyers for operational automation that integrates with the same data substrate.
Traction
The traction metrics are notable. Sensi now serves over 80% of the largest home care networks across North America, a penetration figure that reflects both product-market fit and the network effects of early movers locking in the category leader. Revenue grew 400% year-over-year. Total funding reached $98 million following the October 2025 Series C of $45 million, led by Qumra Capital with continued participation from Zeev Ventures, Insight Partners, Entrée Capital, Flint Capital, and Jibe Ventures.
Partnership activity in 2025 reinforced distribution reach. The Right at Home Canada integration, branded as RightCare+, marked Sensi's expansion into the Canadian market. The HomeWell Care Services partnership, announced in July 2025, extended deployment into another major franchise network. The January 2025 Care Intelligence Research study, built on Sensi's proprietary data, served a dual purpose: clinical credibility and market education about the scale of unsupervised time in senior care.
The company operates with approximately 100 to 200 employees across five countries, with headquarters in Austin, Texas and engineering operations in Israel, India, Estonia, and South Africa.