Quill AI

Name: Quill AI
Brand: Quill AI

AI Native

We make AI tools that automate the tedious tasks in public equities investing.

Est 2023|Raised $500K

LinkedIn 990|Website|FTEs 3|HQ New York, New York, US

MarketsInvestment Research & Market Intelligence Platforms

01Competitive Landscape

Narrative analysis

Quill AI vs BamSEC - BamSEC is a widely used filings workbench (search, transcripts, table exports) with established value propositions. - Quill AI differentiates by offering an update workflow intended to apply changes directly into existing Excel models and by providing sentence-level citations. If these capabilities perform reliably, they could reduce earnings-season spreadsheet labor more than a search-first tool. The realized benefit depends on extraction accuracy and add-in stability. Quill AI vs AlphaSense/Tegus ecosystem - AlphaSense is positioned around broad market intelligence (licensed content, internal document search, enterprise security). Public pricing is sales-led; marketplace listings indicate higher baseline costs for enterprise deployments. - For smaller teams, Quill AI’s published per-seat pricing for web-based plans may be easier to approve. For large enterprises, vendors with mature compliance programs and extensive content licensing (AlphaSense, Tegus) are often preferred. Quill AI vs Sentieo - Sentieo is a broader research suite with features for integrated modeling and research. Quill AI is narrower in scope, centered on SEC filings and Excel integration, which may be appropriate for teams with that specific focus. Other AI-forward alternatives - AskEdgar offers AI summaries and chat at a lower advertised price point; competitive claims should be treated as vendor-provided and validated independently.

Adoption / market trends

There is demonstrable demand for reduced manual copying of filings data into spreadsheets and for extraction workflows that provide source traceability.
Public evidence of Quill AI adoption beyond vendor statements is limited in accessible sources.

	Quill AI	BamSEC	AlphaSense (enterprise ecosystem)
Starting Price	Published per-seat pricing available from the vendor	Published per-seat pricing available from the vendor	Quote-based enterprise pricing; marketplace listings indicate higher baseline costs for enterprise deployments
Primary Focus	Analysts focused on filings-driven Q&A, citations, and model-updating workflows	Filings and transcripts search with table-to-Excel export	Enterprise market intelligence with broad content and internal document search
Key Strength	Excel model update workflow and citation-linked answers	Established filings UX and table extraction tools	Breadth of licensed content and enterprise controls
Key Weakness	Limited independent review footprint; publicly documented security posture is limited	Less AI-native Q&A capabilities (varies by roadmap)	Higher cost and contract complexity

01Competitive Landscape

Narrative analysis

Quill AI vs BamSEC

BamSEC is a widely used filings workbench (search, transcripts, table exports) with established value propositions.
Quill AI differentiates by offering an update workflow intended to apply changes directly into existing Excel models and by providing sentence-level citations. If these capabilities perform reliably, they could reduce earnings-season spreadsheet labor more than a search-first tool. The realized benefit depends on extraction accuracy and add-in stability.

Quill AI vs AlphaSense/Tegus ecosystem

AlphaSense is positioned around broad market intelligence (licensed content, internal document search, enterprise security). Public pricing is sales-led; marketplace listings indicate higher baseline costs for enterprise deployments.
For smaller teams, Quill AI’s published per-seat pricing for web-based plans may be easier to approve. For large enterprises, vendors with mature compliance programs and extensive content licensing (AlphaSense, Tegus) are often preferred.

Quill AI vs Sentieo

Sentieo is a broader research suite with features for integrated modeling and research. Quill AI is narrower in scope, centered on SEC filings and Excel integration, which may be appropriate for teams with that specific focus.

Other AI-forward alternatives

AskEdgar offers AI summaries and chat at a lower advertised price point; competitive claims should be treated as vendor-provided and validated independently.

Adoption / market trends

There is demonstrable demand for reduced manual copying of filings data into spreadsheets and for extraction workflows that provide source traceability.
Public evidence of Quill AI adoption beyond vendor statements is limited in accessible sources.

	Quill AI	BamSEC	AlphaSense (enterprise ecosystem)
Starting Price	Published per-seat pricing available from the vendor	Published per-seat pricing available from the vendor	Quote-based enterprise pricing; marketplace listings indicate higher baseline costs for enterprise deployments
Primary Focus	Analysts focused on filings-driven Q&A, citations, and model-updating workflows	Filings and transcripts search with table-to-Excel export	Enterprise market intelligence with broad content and internal document search
Key Strength	Excel model update workflow and citation-linked answers	Established filings UX and table extraction tools	Breadth of licensed content and enterprise controls
Key Weakness	Limited independent review footprint; publicly documented security posture is limited	Less AI-native Q&A capabilities (varies by roadmap)	Higher cost and contract complexity