Longorithmics
Longevity risk reflects measurable changes in biological and functional health that often emerge years before clinical events or insurance claims.
LSEng generates proprietary health-risk data and converts it into standardised resilience ratings and longevity intelligence — ahead of the point where risk finally shows up in clinical, insurance and actuarial records.
The world is managing longevity risk with data that is often reactive rather than proactive.
Chronic, lifestyle-driven risk often accumulates over decades before it becomes visible in the systems used to assess, price, and manage health risk. By the time these risks are formally documented, many of the most effective and cost-efficient opportunities for prevention and risk reduction have already been missed.
The upstream data gap
Health and risk systems have limited integrated, reliable data on socio-economic, lifestyle and behavioural determinants of functional health before clinical events and insurance claims.
The ratings gap
There is no widely adopted multidomain rating framework that converts determinants and functional health data into comparable ratings of health and longevity risk and resilience.
The root-cause gap
There is limited clinical infrastructure to identify and act on these determinants of functional health decline before they contribute to non-communicable disease and clinical events.
One governed cohort, measured continuously, rated on a common scale.
LSEng closes the gap with a single pipeline: acquires socio-economic, lifestyle, behavioural and functional-health data under consent, transforms it into standardised ratings, anchors every step in verifiable, regulatory-grade governance and enriches longitudinally.
User & Clinical Apps
A dedicated User App and independently operated Clinical App generate governed socio-economic, lifestyle, behavioural and functional-health data. Health-data acquisition follows a WHO STEPS-aligned methodology designed for scalable population-health surveillance.
LSEng Analytics
Upstream data becomes four longitudinal ratings on a common AAA–D scale: a shared language for risk and resilience.
Intervention & remeasurement
Ratings inform evidence-based lifestyle-medicine interventions aligned with ACLM, IBLM, BSLM and LMGA guidance, while longitudinal remeasurement tracks change over time.
Built for the institutions that price, insure and manage longevity risk.
LSEng intelligence is designed to sit inside existing institutional workflows — underwriting, capital allocation, benefits design and public health planning — not replace them.
- Employers & workforce health
- ESG & human capital
- Insurers & reinsurers
- Captives & risk managers
- Pensions & retirement funds
- Asset & investment managers
- Banks & financial institutions
- Development & impact institutions
- Private healthcare
- Public health & government
- Pharma & life sciences
- Research & academia
- Actuarial & advisory
- AI & data partners
One governed longitudinal cohort. Multiple applications.
LSEng transforms health, lifestyle, socio-economic and longitudinal evidence into purpose-specific intelligence across health, workforce, financial risk, research and impact.
Employers & workforce health
Transform workforce health, lifestyle and socio-economic data into longitudinal human-capital intelligence, giving employees preventative health support and targeted interventions while helping employers improve wellbeing, resilience and productivity and better manage absenteeism, presenteeism and employee-benefit programmes.
ESG & human capital
Convert measurable health, workforce and social outcomes into human-capital, ESG and SDG-linked intelligence, helping institutions measure impact, strengthen sustainability reporting and demonstrate evidence-based social value while giving people and communities greater visibility of programme outcomes.
Insurers & reinsurers
Translate governed health and longevity data into intelligence on mortality, disability and future claims risk, enabling preventative interventions and health-linked incentives while helping insurers and reinsurers strengthen forecasting, portfolio-risk analysis, programme design and capital allocation.
Pensions & retirement funds
Translate longitudinal health and longevity data into intelligence on mortality, healthspan and future pension obligations, helping members improve long-term health and retirement resilience while enabling pension institutions to strengthen longevity-risk management, liability forecasting and member planning.
Private healthcare
Turn longitudinal health and functional-health data into intelligence that supports earlier risk identification, prevention and targeted care pathways, giving individuals greater visibility of their health trajectories while helping healthcare providers improve population-health management, resource utilisation and evaluation of preventative interventions.
Public health & government
Transform longitudinal population data into intelligence on health risk, NCD burden, inequalities and health trends, supporting earlier, targeted prevention while helping public-health institutions strengthen surveillance, inform policy, prioritise interventions and allocate healthcare resources more effectively.
Research & academia
Draw on longitudinal health and longevity cohort evidence to study health risk, NCD burden, inequalities and health trends, helping researchers evaluate preventative interventions, validate models and research findings, and generate evidence on health and social outcomes.
Actuarial & advisory
Translate governed health and longevity data into derived intelligence on mortality, disability, claims risk and pension obligations, enabling actuarial, advisory and data teams to strengthen risk modelling, liability forecasting and purpose-specific institutional analysis.
Built by a global team from institutional finance, clinical medicine and enterprise engineering.
LSEng is engineered by people who have priced longevity risk, run clinical and MedTech organisations, and built high-availability systems for banks and aerospace — working across Africa, UK, US, Europe and Asia.
Acquire once. Enrich over time.
One governed cohort generates decision-grade intelligence across health, longevity and financial risk. For institutions that measure, manage, finance or price health and longevity risk, LSEng sits inside that workflow—turning cohort data into better decisions and measurable value.
Privacy & Data Protection Statement
This statement provides institutional stakeholders with an overview of Longorithmics' privacy, data-protection and governance approach, including the complementary roles of the User App and Clinical App. It is not a substitute for the application-specific privacy notices provided to Users/data subjects.
Our approach to privacy
Longorithmics recognises that health, lifestyle, socio-economic, behavioural and related personal information requires a high standard of privacy, security and governance. Privacy, data protection, security and auditability are embedded within the LSEng architecture and its user-facing applications.
Privacy and data-protection framework
The LSEng compliance architecture is designed to support applicable privacy and data-protection requirements in jurisdictions in which Longorithmics operates or deploys its services, including, where applicable, POPIA in South Africa, the EU GDPR, and the UK GDPR and Data Protection Act 2018.
The framework incorporates lawful and transparent processing, purpose limitation, data minimisation, accuracy, appropriate retention, security, accountability and privacy by design.
Application data acquisition
LSEng uses distinct application workflows for different categories and sources of User information. The Clinical App supports independently acquired biometric and functional-health information through an authorised healthcare-professional workflow, while the User App enables Users to provide socio-economic, lifestyle and behavioural information. These applications operate under applicable privacy, consent, access-control and governance requirements.
Health and other sensitive information
Longorithmics recognises that health and biometric-related information can constitute sensitive or special-category personal information requiring enhanced safeguards. LSEng is designed to support consent management where applicable, role-based access, confidentiality, security controls, auditability and appropriate separation of identifiable operational information from anonymised downstream cohort intelligence.
Application-specific privacy policies
The Clinical App and User App each have a dedicated privacy policy reflecting their different users, data-acquisition roles and processing activities. Application users should refer to the relevant application-specific policy for detailed information concerning collection, purposes, lawful bases, sharing, retention, rights, international processing, security and applicable choices.
Privacy by design and data governance
Privacy and data governance form part of the LSEng system architecture rather than being treated solely as external compliance requirements. Depending on the relevant activity, controls may include purpose segmentation, data minimisation, consent records, role-based access, encryption, pseudonymisation, provenance and audit records, retention controls, security monitoring and controlled processing by authorised service providers.
Institutional and cohort intelligence
Longorithmics distinguishes between identifiable personal information processed for authorised operational purposes and anonymised cohort intelligence generated for approved institutional, analytical, statistical or research purposes.
The LSEng architecture is designed so that cohort data released for institutional use is anonymised before it enters the institutional intelligence environment. Once the defined anonymisation process has been completed, the resulting cohort data does not retain personal identifiers or a retained mechanism within LSEng by which the anonymisation can be reversed and the cohort data reconnected to an identifiable individual.
Individual rights and transparency
Longorithmics' privacy architecture is designed to support applicable data-subject rights and transparency requirements, which may include access, correction, deletion, restriction, portability, objection, withdrawal of consent and safeguards relating to qualifying automated processing. The relevant application Privacy Policy provides the detailed procedures.
Service providers and international processing
Where third-party service providers support Longorithmics services, appropriate contractual, confidentiality, security and processing controls are intended to govern access. Cross-border processing requires consideration of the applicable transfer basis and safeguards.
Security
LSEng is designed to incorporate technical and organisational safeguards appropriate to the information processed, potentially including access controls, authentication, encryption, audit logging, secure development, vulnerability management, incident management and related controls. Information security is treated as an ongoing risk-management and governance process.
Relationship to the application Privacy Policies
This institutional statement is not the operative privacy notice governing an individual's use of User App or Clinical App.
User App Privacy Policy: to be provided
Clinical App Privacy Policy: to be provided
Contact
Institutional enquiries concerning Longorithmics' privacy, data governance and information-security framework may be directed to:
Longorithmics / LSEng
Privacy & Data Protection
technical@lgs7.com
Individual Users should use the privacy contact details and rights procedures specified in the applicable User App or Clinical App Privacy Policy.