sieve
AI + human review to solve data cleaning - accessible via API or Excel
sieve is a business in b2b based in New York, NY, USA.
Profile
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.
Its activity falls under b2b; the profile below is assembled from public directory data.
New York, NY, USA is where the company is located.
The company is listed at the Spring 2025 stage of development.
The company reports a headcount in the 2 range.
Directory analysis
Sieve is a B2B startup based in New York that offers an AI‑driven data cleaning solution for hedge funds and investment firms. Their API and Excel add‑in enable users to transform raw financial data into clean, validated datasets with just a few lines of code. The service replaces manual human‑review alerts with automated, expert‑in‑the‑loop processing.
Positioning: Sieve targets the niche of financial data quality, aiming to provide high‑accuracy datasets for analytics and risk management. By combining AI agents with human oversight, it seeks to deliver scalable cleaning at a quality level that was previously hard to achieve.
Note: The company currently has only two employees and has not disclosed funding or founding date.
Auto-generated directory analysis from public data · updated 9 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | New York, NY, USA |
| Country | USA |
| Employees | 2 |
| Stage | Spring 2025 |
Website: usesieve.com
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