Lilli

Overview
Headquarters: Woking, United Kingdom Apply to Supply+2The SaaS News+2
Categories: Supported Living and Home Care Management (Clinical Operations); Screening, Monitoring & Telecare Apply to Supply+2Building Better Healthcare+2

Introduction

Lilli (Intelligent Lilli Ltd) is a UK-based technology solution provider specialising in non-intrusive, sensor-based remote monitoring systems. Its goal is to enable vulnerable individuals—particularly older adults, people being discharged from hospital, or those requiring reablement—to live more safely and independently in their own homes. The technology is designed to observe daily behaviours, environmental conditions, and potential health risks using discreet sensors (not cameras or voice capture), feeding into dashboards and alert systems so that carers, families, or health and social care professionals can see patterns and intervene early if needed. Living with Lilli+2TSA+2

Lilli positions itself as shifting care from reactive (responding to crises) to proactive (spotting “early warning signs” of issues) using machine learning and data analytics. Its work is intended not just to monitor, but to generate evidence for care decisions, optimise care packages, support reablement, accelerate hospital discharge, reduce unnecessary residential care, and deliver cost savings. Apply to Supply+4The SaaS News+4Building Better Healthcare+4

Core Features & How It Works

Below are the main components and operational features of Lilli:

Use Cases & Proven Impact

Here are several case studies and scenarios where Lilli has been used, along with quantified outcomes:

• Medway Council: After about one year of using Lilli, the council report over £1.6 million in cost savings / cost avoidance, while supporting “hundreds of people” to live safely at home (avoiding residential care). TSA

• Nottingham City Council / Nottingham on Call (Discharge to Assess trial): Using Lilli helped accelerate hospital discharge by 16 days, freed up care resource capacity equivalent to 6.6 full-time employees, and generated ~£53,588 in cash savings for the pilot involving 48 service users. Building Better Healthcare+1

• North Tyneside Council: In a six-month pilot, Lilli generated 7,132 additional carer hours, delivered cash savings of ~£132,575, projected possible annual savings up to ~£13.4 million, and freed up bed-days (i.e. capacity) significantly. Also, they indicate some care packages could be reduced or residents maintained in their own homes longer. Intelligent Lilli

These examples underline Lilli’s ability to support system pressures (hospital discharge, reducing backlogs, delays), support reablement, make care more efficient, and provide early signals that can prevent crises.

Advantages (Positive Aspects)

From publicly available information, user and stakeholder feedback, and case studies, here are the key strengths of Lilli:

1. Enabling independence & peace of mind
   Users, carers, families report reassurance from knowing that someone is “keeping a caring eye” on their wellbeing without needing intrusive monitoring. Individuals value being able to remain at home safely. Living with Lilli+2Intelligent Lilli+2

2. Cost savings / resource efficiency
   Local authorities using Lilli have saved significant sums and/or reallocated funds. Care packages can be “right-sized,” unnecessary hospital or residential care prevented or delayed, and bed days or carer hours freed up. Intelligent Lilli+2TSA+2

3. Proactive monitoring helps avoid crises
   The detection of changes in pattern (e.g. mobility, hygiene, falls, environmental risks like cold homes) allows earlier intervention, potentially preventing hospitalisation or worsening health. TSA+2Building Better Healthcare+2

4. Supports multiple clinical & care pathways
   Lilli has been used in Discharge to Assess (D2A), reablement, review & assessment services, extra care, step up/down services, etc. So it is flexible in how and where it can be deployed. Apply to Supply+2Intelligent Lilli+2

5. Non-intrusive, privacy-sensitive design
   No cameras or voice recognition, no wearables required: this helps with user acceptance, particularly with vulnerable populations who may be wary of surveillance. TSA+2Living with Lilli+2

6. Evidence & data to support decision-making
   Local authorities get evidence to more accurately assess care need, increase service capacity, speed up assessment and discharge, adjust care packages. Building Better Healthcare+1

7. Recognition & awards
   Lilli has won awards in remote monitoring, use of data, innovation, etc., which gives some external validation of its value and innovation. Living with Lilli

Challenges & Limitations (Negative Aspects / Caveats)

No platform is perfect, and Lilli faces some common challenges and limitations. Some are inherent in the technology or sector; others are from early deployments or user-feedback. Here are the main ones:

1. Privacy concerns and user trust
   Even though Lilli avoids cameras, microphones, or wearables, some users may initially be suspicious of sensors, data collection, surveillance, or the idea of “being watched,” especially older people or those less familiar with tech. Effective communication around what data is collected, how it is used, and how privacy is protected is critical. Intelligent Lilli

2. Technology literacy and user onboarding
   Some users or their carers may find sensor-based systems, connected hubs, mobile apps or dashboards confusing, especially if they are not used to technology. Training, ongoing support, user-friendly design are important, but may require resources. Lilli seems to acknowledge this in their materials. Intelligent Lilli

3. Dependency on connectivity, hardware maintenance
   Even though roaming SIM and buffering/backups are used, any sensor/hub system depends on devices being powered, maintained, kept connected. Hardware failures, connectivity drop-outs, battery or power issues may challenge reliability. Public information doesn’t always detail downtime or failure rates. Apply to Supply+1

4. Cost and scale concerns
   While many cost savings are reported, there is an upfront investment in sensors, hubs, licences. The recurring licence cost may be non-trivial for some providers. Also, scaling to many homes or across large geographies may incur implementation, support, data management costs. Some councils or authorities might find the budget cycles do not align perfectly. (There is public pricing of licences: ~£59.40 to £99.00 per licence/month. Apply to Supply)

5. Integration with existing care workflows / systems
   Existing care providers or health services often have established routines, datasets, and workflows. Integrating a new monitoring platform requires change management, aligning to regulation, ensuring data connects with existing care plans, case records or electronic care record systems. Resistance or inertia can be a barrier. Intelligent Lilli+2Apply to Supply+2

6. Evidence base / generalisability
   The case studies are promising, but many are pilots or early-stage trials. It may take time to produce long-term data: sustained outcomes, cost effectiveness over many years, user satisfaction over time, failure modes etc. Regions or circumstances (housing type, digital poverty, local resources) may affect performance.

Services & Deployment Models

Here’s how Lilli tends to be deployed, to whom, and how the service is structured:

• Commissioners, Local Authorities, Health & Social Care Providers
  Many deployments are via local government bodies (councils) who purchase the service for their constituents. The service helps them with assessment, reablement, hospital discharge, or reviewing care packages. Building Better Healthcare+2Apply to Supply+2

• Families / Individuals
  Lilli is working toward offering a “friends and family” version of the app or service accessible to individuals or carers outside formal care contracts. There are indications of a waiting list for direct-to-consumer versions. Living with Lilli+1

• Deployment & Onboarding
  Installation of sensors in homes, connection through a hub, configuration of alerts and baselines, training for carers or family members or professionals. Depending on the organisation, this can involve several pathways. Some councils report rollouts completed in weeks or months. Kyndi+1

• Pricing
  Licensed per user / per household model. According to the public G-Cloud framework, licence fees are ~£59.40 to £99.00 per licence per month. The licence includes hardware (preconfigured sensors), roaming SIM-based connectivity, and software / dashboard / mobile app etc. Apply to Supply

• Support / Training
  Lilli offers onboarding support, customer success teams, services for contract implementation, outcome support. Some deployments are also supported by partners (e.g. assistive technology partners such as Kyndi) when delivering in local authority settings. TSA+2Kyndi+2

Market Position & Funding

• Founding / Growth
  Lilli has attracted considerable investment. In February 2024 it raised over €9.5 million in a Series A round, led by West Hill Capital. The funding was intended to help scale deployments across public and private health and care sectors, deepen features such as AI insights and reporting, and develop versions for friends/family app. The SaaS News

• Competitors / Ecosystem
  Lilli operates in a space with other telecare, remote monitoring, digital care record, and assistive technology providers. Some competitors or complementary services include companies offering digital social care record systems, falls prevention platforms, home care providers with tech overlays. The partnerships (e.g. with Nourish Care) show Lilli’s approach is also to integrate into the existing ecosystem. Care Talk Business - Care Talk Business

• Recognition
  Lilli has won several awards and been nominated in health-tech, remote monitoring, use of data categories. This helps validate its innovation and build credibility. Living with Lilli

Summary of Positive and Negative User / Stakeholder Feedback

Here’s what users, carers, families, and commissioners frequently praise or criticise about Lilli, based on public sources.

Conclusion

Lilli presents a compelling offering for the health & social care sector: a technology stack that marries non-intrusive monitoring with data analytics, intended to shift care from reactive to proactive, and with multiple documented case studies showing real cost savings, faster hospital discharges, improved resource utilisation, and enhanced peace of mind for users and families. The platform’s design (privacy-aware, sensor-based, non-wearable) is particularly well suited to older people or those who might resist more intrusive solutions.

However—and realistically—any organisation considering Lilli should weigh the following:

• the upfront and recurring costs, and whether the expected savings or efficiencies will materialise in their specific context;

• the requirement for user education, technical support, and ensuring acceptance among vulnerable users;

• the need for robust technical infrastructure (connectivity, sensor reliability, data security etc.);

• ensuring that Lilli’s data fits into existing care workflows and systems, rather than being siloed;

• the evidence base, while strong in pilots and initial deployments, still needs to build over time for long-term sustainability and across diverse geographies and living situations.

In sum, for many local authorities, care providers or families seeking to support independent living safely, Lilli is a strong candidate—especially if one is seeking non-intrusive monitoring, early detection of change, and data to inform care decisions. It is not a silver bullet, but it is a very promising tool in the toolbox of modern, preventative social care.