Case Study: Aura achieves 94% classification accuracy and cuts analysis time from months to minutes with Claude in Amazon Bedrock

Aura Intelligence enhances decision intelligence with Claude in Amazon Bedrock

Aura Intelligence, an AI-driven platform for Organizational Decision Intelligence, faced a significant challenge in analyzing workforce data. Their initial system struggled to accurately categorize billions of job titles across different industries and languages, a process that was manual, time-consuming, and lacked crucial context. This inefficiency hindered their ability to provide trusted insights for their clients in management consulting, private equity, and hedge funds.

To solve this, Aura implemented Claude through Amazon Bedrock. The solution provided superior accuracy and context understanding out of the box, without requiring extensive fine-tuning. By using Claude, Aura achieved 94% overall classification accuracy, with 100% accuracy in key sectors like tech and finance. The vendor's solution dramatically reduced the title classification process from 2-3 months to just 30 minutes, while also lowering unclassified data rates to under 8%. This allowed Aura to scale its operations and deliver precise, automated insights to its clients.

Aura

Setareh Lotfi

Technical Leader