Daloopa
AI-powered financial modeling data pulled from filings and disclosures.
What is Daloopa?
Daloopa uses AI-assisted extraction and quality control to turn public company filings, presentations, and disclosures into structured financial data for analysts. Finance, investing, and strategy teams use it to reduce manual model updates, normalize messy reported metrics, and spend more time interpreting numbers instead of copying them from PDFs.
Accounting, FP&A, billing, spend management, bookkeeping, and finance automation tools.
See the full Finance & Accounting guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Updating earnings models from 10-Ks, 10-Qs, decks, and supplemental disclosures
Pulling historical company metrics into standardized spreadsheet templates
Reducing analyst time spent copying and footnoting financial data
Building agent-assisted finance workflows that require trusted source-backed numbers
Fit to evaluate
Investment teams updating public-company models and comps
Corporate strategy and FP&A teams tracking competitors or market benchmarks
Research teams that need source-linked financial line items at scale
Analysts replacing manual PDF-to-spreadsheet workflows
Business fit
Useful when high-skill analysts are losing hours to mechanical data entry and model maintenance. Daloopa is most compelling for public-market, banking, research, and corporate strategy workflows where source accuracy matters. It is probably overkill for basic bookkeeping or small-business accounting cleanup.
How to evaluate Daloopa
Use this category when finance work depends on spreadsheets, manual reconciliation, or slow reporting.
Confirm the exact workflow
Map Daloopa to one concrete workflow first, such as updating earnings models from 10-ks, 10-qs, decks, and supplemental disclosures. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare accounting workflows, approvals, reconciliation, reporting, and audit trails.
Compare practical alternatives
Compare Daloopa with other Finance & Accounting vendors before committing to a contract or migration.
Validate cost and rollout effort
Daloopa does not publish self-serve pricing. Expect quote-based pricing based on seats, coverage universe, data access, and workflow requirements. Also confirm implementation time, support needs, and whether the medium setup matches your team.
Compare Daloopa with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Updating earnings models from 10-Ks, 10-Qs, decks, and supplemental disclosures, Pulling historical company metrics into standardized spreadsheet templates |
|---|---|
| Best-fit team | Investment teams updating public-company models and comps, Corporate strategy and FP&A teams tracking competitors or market benchmarks |
| Implementation effort | Medium setup and maintenance profile |
| Pricing check | Contact sales |
| Closest alternatives | Other Finance & Accounting tools |
Daloopa pricing
| Model | Contact sales |
|---|---|
| Snapshot | Daloopa does not publish self-serve pricing. Expect quote-based pricing based on seats, coverage universe, data access, and workflow requirements. |
| Checked |
Common questions about Daloopa
What is Daloopa?
Daloopa uses AI-assisted extraction and quality control to turn public company filings, presentations, and disclosures into structured financial data for analysts. Finance, investing, and strategy teams use it to reduce manual model updates, normalize messy reported metrics, and spend more time interpreting numbers instead of copying them from PDFs.
What is Daloopa used for?
Common use cases: Updating earnings models from 10-Ks, 10-Qs, decks, and supplemental disclosures; Pulling historical company metrics into standardized spreadsheet templates; Reducing analyst time spent copying and footnoting financial data; Building agent-assisted finance workflows that require trusted source-backed numbers.
How much does Daloopa cost?
Daloopa does not publish self-serve pricing. Expect quote-based pricing based on seats, coverage universe, data access, and workflow requirements.
Who is Daloopa best for?
Daloopa fits Investment teams updating public-company models and comps, Corporate strategy and FP&A teams tracking competitors or market benchmarks, Research teams that need source-linked financial line items at scale, Analysts replacing manual PDF-to-spreadsheet workflows. Useful when high-skill analysts are losing hours to mechanical data entry and model maintenance. Daloopa is most compelling for public-market, banking, research, and corporate strategy workflows where source accuracy matters. It is probably overkill for basic bookkeeping or small-business accounting cleanup.