Daloopa

Name: Daloopa
Brand: Daloopa

The financial data layer for the agentic era

Est 2018|Valuation $307M|Raised $106.6M

LinkedIn 34K|Web traffic 42K|FTEs 194|HQ New York, New York, US

MarketsVerified Financial Database Investment Research & Market Intelligence Platforms

01Competitive Landscape

Narrative analysis

- Daloopa and AlphaSense overlap on research productivity but focus on different primary workflows: Daloopa emphasizes structured fundamentals and Excel updates, while AlphaSense emphasizes document intelligence and search, with some movement toward modeling automation. - Compared with incumbents (FactSet / CapIQ / Bloomberg), Daloopa emphasizes disclosed datapoints with source hyperlinks in analyst workflows, while incumbents provide broader, standardized coverage and long-standing procurement pathways. - Canalyst emphasizes standardized modeled datasets; Daloopa emphasizes disclosed datapoints and traceability to source documents.

Market share and adoption trends

Public materials include vendor statements about institutional adoption, but independent market-share metrics for Daloopa were not located in the sources reviewed. Third-party mindshare or categorization on some platforms may not reflect core market positioning accurately.

	Daloopa	AlphaSense	S&P Capital IQ (Pro)
Starting Price	Not publicly listed (contact vendor; entry-level offering referenced)	Not typically publicly listed (enterprise procurement)	Not publicly listed (enterprise procurement)
Primary fit	Excel-first modeling teams needing disclosed KPI history with source links; data layer for LLM integrations	Cross-document research/search (filings, transcripts, research) and qualitative workflows	Broad standardized fundamentals, screening, and entrenched institutional dataset
Key Strength	Source-linked disclosed datapoints; Excel update workflow; MCP/agent integration capabilities	Document search and monitoring; qualitative research workflows	Breadth of standardized coverage and entrenched adoption
Key Weakness	Limited public evidence of third-party security certifications; limited visible independent reviews; pricing opacity	Perceived cost and value dependency on usage intensity	Cost and potential misalignment for niche disclosed KPIs compared with specialist vendors

01Competitive Landscape

Narrative analysis

Daloopa and AlphaSense overlap on research productivity but focus on different primary workflows: Daloopa emphasizes structured fundamentals and Excel updates, while AlphaSense emphasizes document intelligence and search, with some movement toward modeling automation.
Compared with incumbents (FactSet / CapIQ / Bloomberg), Daloopa emphasizes disclosed datapoints with source hyperlinks in analyst workflows, while incumbents provide broader, standardized coverage and long-standing procurement pathways.
Canalyst emphasizes standardized modeled datasets; Daloopa emphasizes disclosed datapoints and traceability to source documents.

Market share and adoption trends

	Daloopa	AlphaSense	S&P Capital IQ (Pro)
Starting Price	Not publicly listed (contact vendor; entry-level offering referenced)	Not typically publicly listed (enterprise procurement)	Not publicly listed (enterprise procurement)
Primary fit	Excel-first modeling teams needing disclosed KPI history with source links; data layer for LLM integrations	Cross-document research/search (filings, transcripts, research) and qualitative workflows	Broad standardized fundamentals, screening, and entrenched institutional dataset
Key Strength	Source-linked disclosed datapoints; Excel update workflow; MCP/agent integration capabilities	Document search and monitoring; qualitative research workflows	Breadth of standardized coverage and entrenched adoption
Key Weakness	Limited public evidence of third-party security certifications; limited visible independent reviews; pricing opacity	Perceived cost and value dependency on usage intensity	Cost and potential misalignment for niche disclosed KPIs compared with specialist vendors