sieve
AI + human review to solve data cleaning - accessible via API or Excel
About sieve
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.
Company details
Funding
Total raised
$500K
Last stage
Seed
Investors
Founders
Savannah Tynan
MIT graduate with applied ML experience; previously worked at Bain & Company in the private equity group. Helped scale a startup from $0 to $10M ARR.
Nicole Lu
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.
LinkedInWhat happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.