What is
Sieve
?
Sieve transforms data processing for financial professionals with its AI-led data extraction platform that combines frontier AI models with human expert review processes. The platform handles complex data workflows through a three-step process of AI extraction, human review, and consensus validation. With API-based data processing, Sieve replaces manual data cleaning workflows for hedge funds, investment banks, and quantitative researchers, delivering clean, validated data for critical financial decisions.
Key Features
- AI-led data extraction
- Human expert review process
- Consensus validation system
- API-based data processing
- Complex workflow handling
- Frontier AI model integration
- Financial data specialization
Pricing
- Contact for pricing
- API-based pricing model
- Custom enterprise solutions
- Waitlist for early access
Pros:
- Y Combinator backing and validation
- Human-AI hybrid approach ensures accuracy
- Specialized for financial data
- API-first architecture
- Handles complex data workflows
Cons:
- Y Combinator backing and validation
- Human-AI hybrid approach ensures accuracy
- Specialized for financial data
- API-first architecture
- Handles complex data workflows
Who is it for?
- Hedge funds
- Quantitative researchers
- Investment banks
- Data engineers
- ESG investors
- Financial analysts
Best use cases
- Financial filing verification
- Commodities export data extraction
- ESG data collection
- Small-cap company data retrieval
- Investment research automation
API Integrations
- API-based integration
- Financial data providers
- Investment platforms
- Data analytics tools
- Custom workflow systems
Security
- Financial data protection
- Secure API architecture
- Data privacy compliance
- Enterprise security standards
Implementation
- API integration typically takes 1-2 weeks with data processing workflows operational within 2-4 weeks.
Best Alternatives
- https://refinitiv.com
- https://bloomberg.com
- https://factset.com
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