About Us
Sensi.AI is a SaaS company focused on using artificial intelligence to help care organisations monitor wellbeing and identify risk earlier, particularly for older adults and people who may be vulnerable. Its product centres on analysing everyday signals, such as voice and behavioural patterns, to surface changes that could indicate issues like distress, cognitive decline, or deteriorating health. The underlying problem it tackles is a familiar one in care and health settings, staff cannot be present all the time, and warning signs are easy to miss until a situation escalates. By turning passive data into actionable insights, Sensi.AI aims to support earlier intervention and more consistent oversight.
The company appears to serve care providers and related organisations that support people in their homes or in residential settings, where safeguarding and quality of care are critical. In practice, that means its users are likely to include care managers, clinical or safeguarding teams, and operational leaders who need a clearer view of what is happening between visits or shifts. Because the product deals with sensitive contexts and potentially regulated environments, trust, privacy, and reliability are likely to be central to how the platform is designed, sold, and supported.
Within the SaaS ecosystem, Sensi.AI sits in the health and care technology space, combining applied AI with a subscription software model. It is the kind of product that typically needs to integrate into existing workflows, reporting, and care processes rather than replacing them outright. That suggests a business where product development is closely tied to real world usage, customer feedback, and measurable outcomes, with an emphasis on responsible AI and clear communication of what the system can and cannot infer.
Job seekers who thrive at Sensi.AI are likely to be people who enjoy working on complex, high impact problems with real human consequences. Engineering and data roles may involve building and maintaining machine learning systems, data pipelines, and secure cloud infrastructure, as well as ensuring models perform well across varied environments. Product, design, and customer facing roles will probably suit those who can translate between technical capabilities and the practical needs of care teams, and who are comfortable working with stakeholders who may not be deeply technical but have strong requirements around safety and accountability.
What may appeal to candidates is the mission led nature of the work and the opportunity to build software that supports better care outcomes. It also looks like an environment where cross functional collaboration matters, because delivering value depends on aligning AI research, product decisions, and customer implementation. If you are motivated by applied technology, careful problem solving, and building trust in a sensitive domain, Sensi.AI is likely to be a compelling place to consider.