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KlesiaLead Developer

Multi-tenant B2B SaaS platform for detecting at-risk caregivers for Klesia

White-label multi-tenant B2B SaaS: automated scoring of at-risk caregivers, customizable bilingual questionnaire, HDS-compliant, delivered as lead in 3 weeks.

Klesia

Challenge

Klesia (a social protection group) wanted to offer its large enterprise clients (major employer brands) a service to detect at-risk employee caregivers: those staff members who support a relative living with a disability or loss of autonomy, often in silence. No tool existed: it needed a platform able to distribute a white-label questionnaire to employees, to score their risk level via a provided business algorithm, and to report actionable results on the company side, all within a strict framework of health data (HDS) and anonymization.

Impact

  • Deployed and used by large enterprise clients, major employer brands (under NDA)
  • White-label multi-tenant architecture: a single product endlessly adaptable per client company
  • HDS compliance (health data hosting) and anonymization of the reported results
  • Fully customizable and bilingual questionnaire (2 languages), ready to carry the identity of each brand
  • Delivered as lead in 3 weeks, from zero to a usable multi-tenant platform
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Context

Engagement scoped by Qadence for its end client Klesia, as with Colonna.

The challenge: white-label multi-tenant + health data, in 3 weeks

Three simultaneous constraints. Multi-tenant: a cascading hierarchy (Super Admin → Klesia-level entities → client companies), where each tier only sees and manages the data of the levels below it. White-label: the questionnaire interface had to be fully customizable (colors, components, branding) and bilingual (2 languages), to carry the identity of each client brand. Health data: risk scoring via a provided business algorithm, but results anonymized and hosted under HDS. All delivered as lead in 3 weeks; the difficulty was not an isolated technology but the speed and cleanliness of execution on a system where data partitioning and compliance leave no room for error.

What was delivered

  • Hierarchical management back-office with cascading RBAC and data scopes partitioned by tier
  • Multi-tenant provisioning (creation of Klesia-level entities, then companies)
  • White-label questionnaire interface (~20 questions), customizable and bilingual (2 languages)
  • Integration of the provided risk-scoring algorithm
  • Anonymization and reporting of results to the dashboards, in HDS compliance
  • Support-recommendation engine configurable by each company according to the risk level (connection to resources, arrangements, information sources)
  • Clerk authentication, HDS hosting on Clever Cloud

Stack & compliance

Next.js (App Router) / TypeScript / Tailwind, PostgreSQL, Clerk authentication, HDS hosting on Clever Cloud. The central challenge: a clean, partitioned, HDS-compliant multi-tenant product, now deployed and rolled out across large accounts.

Stack

The technologies used on this mission.

  • Next.js (App Router)
  • TypeScript
  • Tailwind CSS
  • Next.js Route Handlers
  • PostgreSQL
  • Clerk (authentification)
  • Clever Cloud (HDS hosting)
  • i18n (2 langues)

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