Case Study: Appen achieves sub-minute reporting and 20x annotation throughput with Provectus

A Provectus Case Study

Preview of the Appen Case Study

Appen cuts report generation from 30 minutes to under 1 minute with Provectus

Appen, a global AI training data company, faced a challenge with its legacy analytics platform, which generated reports in 30-minute cycles. This latency prevented real-time visibility for its annotation teams and business units, risking errors and delaying client commitments. Appen partnered with vendor Provectus to build a new cloud-native data platform on AWS to support 1,000 parallel workflows and achieve near real-time reporting.

Provectus implemented an event-driven solution using AWS, featuring event-streaming pipelines, a cloud-native data lake, and microservices to replace monolithic batch processing. The results were transformative: report generation time was cut from 30 minutes to under one minute, data annotation job throughput increased 20x, and processing speed accelerated 5x. The Provectus platform enabled Appen to deliver training datasets faster and with greater quality control, directly impacting client retention and deal velocity.


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