AI scale, human quality

sieve

Accurate data from messy, unstructured sources
Websites, PDFs, filings, and more. Extracted by AI, verified by experts, delivered ready to use.

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What We Do

Get structured data from the messiest web or document sources

Document Extraction
Q1Q2Q3Q4

Extracted Data

Company Name

Acme Corporation

Total Revenue

$394.3B

Revenue Chart

Q1$88.2B
Q2$97.3B
Q3$89.5B
Q4$119.3B

Net Income

$96.99B

Fiscal Quarter

Q4 2023

Complete5/5
Web Scraping
https://example-store.com/products
Data from API (not visible on page)
🌐 Intercepted
API Response:
"inventory": "147 units"
"supplier": "Acme Widgets Inc"
"lastUpdated": "2 hours ago"

Extracted Data

Capture URL

🔗 example-store.com/products

Extract Name

Premium Widget Pro

Extract Price

$299

Inspect Network

🌐 From API:

inventory:147 units
supplier:Acme Widgets Inc
lastUpdated:2 hours ago
Complete4/4

How it works

Upgrade your web scraping and document processing workflows

Our AI + human-in-the-loop approach ensures you get the highest quality data, scalably and reliably

We build on top of the latest frontier models and use our proprietary in-house data to fine-tune the models for improved performance

1

AI-led extraction

Based on your request, we use AI to track down the relevant source documents and extract the data you need

2

Human expert review

After AI extraction, the data is reviewed by a team of expert human reviewers to ensure the data was extracted cleanly and accurately

3

Consensus validation

Once all experts have reviewed the data, we use consensus validation to ensure the data is accurate. This means we are robust to one-off errors - no more fat finger errors!

Our clients

Trusted by leading hedge funds

Powering data-driven decisions for the world's most sophisticated investment firms

$100B+

in Assets Under Management

100K+

Data Points Extracted & Validated

Our investors

Backed by the best

backed by world-class investors who believe in our vision

Y Combinator logo

Questions you may be wondering

FAQ & Documentation

FAQs and links to documentation

Get started now

Reach out to see sieve in action on your data

Case studies

Real-life case studies

See how sieve has helped businesses improve their data operations

Feedback

What People Say

Aaron Meder

"As a former CEO of a global asset manager, I know firsthand how much time and money is wasted when investment teams have to clean bad data or build in-house fixes that never scale. Poor data quality is one of the most persistent - and costly - headaches in our industry. sieve has solved this problem at the root.

By combining AI with rigorous human validation, they've created the clean data layer that our industry has needed for decades. Spotless data isn't a nice-to-have, it's a top priority, and sieve finally delivers it - freeing teams to focus on strategy and performance rather than cleaning data."

Aaron Meder

Former CEO, L&G – Asset Management, America

Kevan Dodhia

"Working with sieve has been incredibly easy. They turn things around quickly, the quality of the work is consistently high, and they've been very responsive whenever we need something. When building a complex, high surface area product (100s of providers and integrations), reliable human review is extremely valuable - it gives us confidence in the quality of what we're shipping. Would recommend!"

Kevan Dodhia

Co-founder and CTO of Alter (YC S25)

Ray Jacobson

"I'm super impressed - it works much better than a lot of things I've tried, especially for something out of the box!!"

Ray Jacobson

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