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▸ Featured Work· 2024 — 2026 · Atsur

Atsur — Art Provenance Registry

A CIDOC CRM-compliant registry and API platform documenting the provenance of African fine art, with white-label digital archives for institutions. I work across the stack as a full-stack developer. Selected details are withheld under NDA.

Next.jsPayload CMSAWSMulti-tenantCIDOC CRMPlaywrightWhite-label
Links not public
▸ Overview
Atsur builds infrastructure for documenting and verifying the provenance of African fine art. The platform is a registry and API built around CIDOC CRM — the international museum-sector standard for cultural heritage data — so records are interoperable with institutions worldwide rather than trapped in a proprietary schema. The system is multi-tenant: institutions get white-label digital archive sites on their own domains, backed by a shared registry core. The stack is Next.js and Payload CMS on AWS, with end-to-end and unit test suites guarding a codebase several teams depend on. I've been a full-stack developer on the platform since 2024, working across the registry, the tenant-facing archive sites, and the delivery pipeline. Because the work is under NDA, this case study stays at the architecture level — I'm happy to go deeper in a call, within what the NDA allows.
▸ Impact & Performance
+10%
Engagement
−20%
Production bugs
▸ Challenges
  • 01

    Modeling art provenance to an international museum standard (CIDOC CRM) instead of a convenient in-house schema.

  • 02

    Serving multiple institutions white-label archives — each on its own domain with its own branding — from one platform.

  • 03

    Keeping production stable in a codebase that several workstreams touch, where regressions damage institutional trust.

▸ Solutions
  • ✓

    A standards-compliant data model and API on Payload CMS, keeping records interoperable with the wider cultural-heritage ecosystem.

  • ✓

    A multi-tenant architecture with per-institution theming and domains on AWS, configured at build time per tenant.

  • ✓

    Established testing protocols and debugging workflows — Playwright end-to-end suites and unit tests wired into delivery.

▸ Results

+10% engagement from analytics-driven UX improvements and intelligent automation.

−20% production bugs after establishing testing protocols and debugging workflows.

Ongoing full-stack role since 2024.

▸ Domains
saas
▸ Work with me

Want something built like this?

I'm available for new projects. If you have an idea that needs a full-stack or AI engineer, let's talk.

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