What We Do
Get structured data from the messiest web or document sources
Extracted Data
Company Name
Acme Corporation
Total Revenue
$394.3B
Revenue Chart
Net Income
$96.99B
Fiscal Quarter
Q4 2023
Extracted Data
Capture URL
🔗 example-store.com/products
Extract Name
Premium Widget Pro
Extract Price
$299
Inspect Network
🌐 From API:
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
AI-led extraction
Based on your request, we use AI to track down the relevant source documents and extract the data you need
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
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
Questions you may be wondering
Case studies
Real-life case studies
See how sieve has helped businesses improve their data operations
Feedback
What People Say
"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
"The quality of even the most standard datasets is appallingly poor. It's a complete waste of my QRs' time to track this stuff down. It's absolutely ridiculous that we do this. It's a waste of time and money, especially when every hedge fund in the world is doing it"
"The quality of even the most standard datasets is appallingly poor. It's a complete waste of my QRs' time to track this stuff down. It's absolutely ridiculous that we do this. It's a waste of time and money, especially when every hedge fund in the world is doing it"
Portfolio Manager
Leading quantitative hedge fund
"Data quality is a huge issue. I've been thinking about this problem for years but haven't found a solution."
"Data quality is a huge issue. I've been thinking about this problem for years but haven't found a solution."
Trader
Family office
"This is exactly what I've been looking for. Data quality is a huge issue. We can't rely on any single vendor."
"This is exactly what I've been looking for. Data quality is a huge issue. We can't rely on any single vendor."
Data Engineer
Top 5 investment bank
"I tried to fix our data quality in-house. There were a bunch of steps to make it all work and the biggest issue is I still had to check all the data manually. It took weeks of time to check it all."
"I tried to fix our data quality in-house. There were a bunch of steps to make it all work and the biggest issue is I still had to check all the data manually. It took weeks of time to check it all."
Senior Data Scientist
Leading ESG investor
"This is a pain-point most people have but don't want to deal with. These problems cost a lot of money and we'd like to make them just go away"
"This is a pain-point most people have but don't want to deal with. These problems cost a lot of money and we'd like to make them just go away"
Manager of Enterprise Data
Leading international bank
