sieve

Name: sieve
Brand: sieve

AI Native

A service that allows you to store all your bookmarks, notes, movies and images in one place.

Est 2025|Raised $500K

LinkedIn 684|Web traffic 2K|FTEs 1

MarketsVerified Financial Database

01Competitive Landscape

Narrative analysis: where alternatives excel

- Major terminals (FactSet/Bloomberg/CapIQ) are stronger when the requirement is broad, standardized datasets, identifiers, and deep historical coverage rather than bespoke extraction/cleaning from arbitrary sources. - Alteryx is stronger where the need is a repeatable, internally controlled data-preparation platform with many connectors and orchestration capabilities. - OpenRefine is a cost-effective option for interactive local dataset cleaning but does not provide ongoing human validation as a service. - Search/research platforms (e.g., AlphaSense) are optimized for document and transcript search rather than bespoke field extraction for Excel models.

Market share/adoption trends

No credible market share figures for Sieve were located. Incumbent vendors such as Bloomberg and FactSet are widely used across finance, although precise market share varies by source and product segment.

	Sieve (vendor product pages)	Alteryx	FactSet
Starting Price	Not publicly listed; subscription required and contact-led	Public pricing information exists, though packaging varies	Typically enterprise/quote-based; third-party estimates vary
Best For	Teams requiring cleaned outputs delivered into Excel or via API; designed for financial workflows	Organizations needing broad analytics and repeatable data-prep pipelines under their control	Firms needing broad market/company datasets and terminal-like workflow tooling
Key Strength	Vendor model combines automated extraction with human review and delivers outputs into Excel/API	Mature platform with many connectors and automation/orchestration options	Breadth of datasets, identifiers, and enterprise workflow features
Key Weakness	Limited public proof points (reviews, case studies, public security collateral) and unclear pricing	Can be perceived as complex and relatively expensive depending on packaging	High cost and possibly excessive breadth if only targeted cleaning/extraction is required

01Competitive Landscape

Narrative analysis: where alternatives excel

Major terminals (FactSet/Bloomberg/CapIQ) are stronger when the requirement is broad, standardized datasets, identifiers, and deep historical coverage rather than bespoke extraction/cleaning from arbitrary sources.
Alteryx is stronger where the need is a repeatable, internally controlled data-preparation platform with many connectors and orchestration capabilities.
OpenRefine is a cost-effective option for interactive local dataset cleaning but does not provide ongoing human validation as a service.
Search/research platforms (e.g., AlphaSense) are optimized for document and transcript search rather than bespoke field extraction for Excel models.

Market share/adoption trends

	Sieve (vendor product pages)	Alteryx	FactSet
Starting Price	Not publicly listed; subscription required and contact-led	Public pricing information exists, though packaging varies	Typically enterprise/quote-based; third-party estimates vary
Best For	Teams requiring cleaned outputs delivered into Excel or via API; designed for financial workflows	Organizations needing broad analytics and repeatable data-prep pipelines under their control	Firms needing broad market/company datasets and terminal-like workflow tooling
Key Strength	Vendor model combines automated extraction with human review and delivers outputs into Excel/API	Mature platform with many connectors and automation/orchestration options	Breadth of datasets, identifiers, and enterprise workflow features
Key Weakness	Limited public proof points (reviews, case studies, public security collateral) and unclear pricing	Can be perceived as complex and relatively expensive depending on packaging	High cost and possibly excessive breadth if only targeted cleaning/extraction is required