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AI + human review to solve data cleaning - accessible via API or Excel
sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.
Nicole is co-founder and CEO of sieve, which is solving data cleaning for hedge funds and investment firms. She previously worked at Citadel across Equity Quant Research, Global Trading, and Data Science groups, was a management consultant at McKinsey, and developed cancer detection algorithms at the Broad Institute.
Focus on differentiated analyses and never think about data cleaning again
Sieve builds an API (and Excel integration) for hedge funds to replace manual data cleaning in data pipelines with AI-assisted retrieval and expert-reviewed data extraction, aiming to deliver accurate, scalable, and cheaper data for investors who rely on data. The launch promotes connecting with people in investing who use data, highlighting early results of higher accuracy and cost savings.
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