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Technology

Buy boring. Build differentiating

Off-the-shelf software runs generic operations. Internal engineering is reserved for the quality-tracking layer that constitutes the actual edge. The per-item review trail, the gold-task engine, and the metric APIs behind every quality report.

Delivery stackBuy boring, build differentiating

We are deliberately tooling-agnostic. Nothing here asks you to adopt a platform, and the evidence layer is the only part we insist on.

Stack by function

What we buy, and what we build.

FunctionTodayNextNote
Contributor management
Airtable. Profiles, skills, NDA registerCustom contributor portal on PostgresSystem of record for skills, scores and availability
Task assignment
Client tooling + managed queuesInternal assignment service with score-weighted routingMost clients mandate their own platform. We integrate, we do not replace
Quality trackingBuild
Structured stores + scripted IAA and acceptance dashboardsQA datastore. Per-item review trail, gold-task engine, metric APIsThe differentiating build. Scripts start early so the data accumulates from day one
Contributor payments
Automated payout rails with ledger reconciliationIntegrated payout with tax documentationOn-time pay is a retention weapon
Dashboards & analytics
Metabase over the operational storeWarehouse + transformation layerOne live dashboard per program: throughput, quality, SLA
DocumentationBuild
SOP pack and versioned rubric libraryInternal program dashboard alongsideThe rubric library is the transferable asset. It is what makes calibration portable
Security & access
MFA, password management, least-privilege accessManaged devices, VDI for sensitive programsCompliance automation onboarded ahead of SOC 2
Integration stance

We work inside your stack

Labs and platforms mandate their own annotation tooling, their own task queues and their own data environments. That is correct policy, and we do not fight it. Newbieget Labs is deliberately tooling-agnostic: our people work in your platform, under your access controls, and our quality layer runs alongside rather than in place of it.

  • Work performed inside client environments by default. Data never leaves
  • No proprietary platform you are asked to adopt
  • Quality evidence exported in your format, not ours
  • Benchmark harnesses handed over to run in your CI