Aura Intelligence enhances decision intelligence with Claude in Amazon Bedrock

Aura Intelligence is an AI-driven platform for Organizational Decision Intelligence (ODI). Aura uses Claude in Amazon Bedrock to transform billions of workforce data points into a trusted foundation for smarter decision-making for management consulting, private equity firms, and hedge funds delivering precise insights for critical business decisions.

With Claude in Amazon Bedrock, Aura:

• Achieved 94% overall classification accuracy, with 100% accuracy in tech, finance, and medical sectors
• Reduced title classification time from 2-3 months to a 30-minute automated process
• Lowered unclassified data rates to under 8% across industries
• Processes and analyzes over 200 million titles and industry pairings across multiple languages

Meeting the workforce analytics challenge

Aura Intelligence helps analyze insights on hiring trends, skills evolution, workforce dynamics, and competitor benchmarks. Their initial system struggled with a fundamental challenge: making sense of job titles and roles across different industries and languages. Without AI capabilities, they relied on basic manual lookups and fuzzy matching to categorize roles. This manual approach couldn't capture crucial industry context. For example, a Vice President at a bank typically holds a mid-level position, while the same title in tech indicates senior leadership. With 200 million titles and industry pairings to analyze, plus data in multiple languages, Aura needed a more sophisticated solution.

Choosing Claude for superior accuracy and seamless integration

After evaluating multiple AI models, Aura selected Claude in Amazon Bedrock for its superior accuracy and contextual understanding. "We ran four different models across competitors, and with Claude we had close to 94% accuracy," said Setareh Lotfi, technical leader at Aura. As a startup with limited engineering resources, they valued Claude's ability to deliver high performance without extensive fine-tuning. "We don't have as much engineering power these days. Something out of the box that solves the problem and doesn't need too many contexts and fine-tuning—that was the biggest evaluation gap," said Lotfi.

The accuracy was impressive in key industries, with Claude achieving 100% accuracy in tech, finance, and medical sectors. This enabled Aura to lower their unclassified data rates to under 8% across industries, a crucial metric for customers making significant financial decisions based on their insights.

Maximizing AI capabilities with Amazon Bedrock

The Amazon Bedrock integration provided significant technical advantages through its seamless connection with Aura's existing AWS infrastructure. Lotfi said, "We were already using AWS services, particularly SageMaker for our data science stack. Having Bedrock align with our existing tools reduced development complexity and enabled better collaboration between our data science and engineering teams."

Amazon Bedrock's model customization and prompt management capabilities were essential for their role mapping project. The platform allowed them to fine-tune foundation models on their proprietary datasets without managing additional ML infrastructure. "We do classifications across locations—from different metropolitans to different zip codes. Tying it down to smaller data subsets for user interaction has been crucial," said Lotfi.

The integration also optimized their technical operations through prompt caching and vector search capabilities. With automated scaling and pay-per-use pricing, Aura could efficiently expand their multilingual content classification while maintaining accuracy across languages. Since everything stayed within the AWS infrastructure, they maintained robust security while scaling their AI capabilities.

How Claude powers intelligent workforce analysis

Aura has transformed their ML pipeline from a traditional structure requiring multiple specialists to an efficient system where a single engineer can manage the entire process. Their solution now handles:

• Title classification across industries with context preservation
• Automated report generation
• Anomaly detection in workforce trends
• Sentiment analysis of company reviews
• Multilingual data processing and translation
• Real-time analysis of hiring and exit patterns

Transforming decision making with AI-powered insights

Aura’s platform provides tailored solutions for different client needs. Lotfi said, “Private equity funds have a very different use case than a hedge fund. Whether you’re a private equity fund closely monitoring a small set of companies, or a hedge fund looking for macro industry trends, our new Reports feature will keep you updated.” With Aura’s Reports, clients can create a personalized data set and receive it on a personalized schedule, helping clients analyze portfolio companies and industry trends with unprecedented speed and accuracy.

For Aura's engineering team, Claude eliminated the need for Ωfour to five engineering sprints previously required for fine-tuning. The solution has also enabled automated QA processes, with AI-powered pipelines ensuring consistent accuracy at scale. This efficiency allows them to serve more clients while maintaining their lean startup structure.

Building an AI-powered future for workforce intelligence

Aura aims to revolutionize how organizations access Organizational Decision Intelligence. Lotfi said, "We want to automate these reports and ensure people can access insights as quickly as opening their email, rather than building reports from scratch."

They're already expanding their impact, launching APIs with major high-frequency trading hedge funds and developing new sentiment analysis capabilities. By combining their deep understanding of workforce dynamics with Claude's capabilities in Amazon Bedrock, Aura continues to transform how organizations understand and act on Organizational Decision Intelligence.