Turn PDFs, reports, contracts, and filings into structured data
AI-powered extraction with human-level accuracy. Validated by experts, delivered ready to use.
Extracted Data
Company Name
Acme Corporation
Total Revenue
$394.3B
Revenue Chart
Quarterly Revenue Data:
Net Income
$96.99B
Fiscal Quarter
Q4 2023
How it works
sieve adapts where traditional parsers break
Traditional document processing fails when PDFs have inconsistent layouts, tables spanning pages, or scanned images. Our AI adapts to any format while human experts catch edge cases.
Edge cases we handle:
- • Inconsistent layouts: Different table structures across pages or documents
- • Scanned documents: Poor quality images, handwritten notes, stamps overlapping text
- • Complex tables: Merged cells, nested headers, tables spanning multiple pages
- • Multi-format files: Mixed content types (text, images, tables) in a single document
- • Contextual data: Understanding footnotes, cross-references, and implicit relationships
AI-led extraction
Our AI understands document structure contextually, not just by position. It adapts to inconsistent formats and extracts data even from scanned images.
No brittle XPath selectors or hardcoded coordinates that break when layouts change.
Human expert review
Expert reviewers catch edge cases like ambiguous table boundaries, overlapping stamps on scanned docs, or footnotes that modify primary data.
Eliminates the "95% accurate, but needs user review for the last 5%" problem.
Consensus validation
Multiple reviewers validate each extraction. If there's disagreement on a complex case, we escalate for resolution - no silent failures.
Robust to OCR misreads, ambiguous formatting, and one-off 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
"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)
"I'm super impressed - it works much better than a lot of things I've tried, especially for something out of the box!!"
