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Solo Developer Builds AI Agent That Reads the Entire SEC EDGAR Database & Replaces $100k Analyst Job
TelAve News/10897136
22+ million SEC filings indexed. Rapid analysis. 98% extraction accuracy. One founder. No Bloomberg terminal required. Is it over for finance jobs?
NEW YORK - TelAve -- A solo developer has launched EDGAR Analyst, an AI-powered SEC intelligence platform that may fundamentally change how investors, hedge funds, analysts, and financial researchers interact with the public markets.
Thomas Unise built the platform and indexed more than 22 million SEC filings dating back to 1993, along with a full retrieval and reasoning engine on top of the data, which delivers citation-grounded analysis on 10-Ks, 10-Qs, 8-Ks, S-1s, insider trades, and proxy filings in minutes.
The result: work that traditionally required teams of junior analysts, research associates, or expensive enterprise terminals can now be performed by AI for less than the cost of a dinner reservation.
"The average 10-K is hundreds of pages. Analysts spend entire days digging through footnotes and disclosure changes. EDGAR Analyst does it in minutes."
More on TelAve News
According to the company, the system can:
- Pull and analyze SEC filings instantly
- Detect disclosure changes between filings
- Extract tables and line items with human accuracy
- Compare companies side-by-side
- Generate investment memos automatically
- Trigger real-time AI analysis the second new filings hit EDGAR
The company claims the retrieval engine achieves approximately 98% structured extraction accuracy on major financial statement data and disclosure parsing workflows while operating at a fraction of the cost of legacy research infrastructure.
EDGAR Analyst says its for users including hedge funds, private equity firms, sell-side desks, family offices, and corporate development teams.
The platform also introduces functionality typically reserved for institutional finance tools costing tens or hundreds of thousands annually:
- AI-powered redline diffs between filings
- Footnote-aware extraction
- Real-time filing monitors
- Citation-grounded reasoning
- Structured exports to CSV, JSON, and Excel
More on TelAve News
- Cross-company competitive analysis
One of the most disruptive aspects may be pricing.
While enterprise financial intelligence platforms can cost firms six figures annually in licenses, EDGAR Analyst launched a consumer-accessible tier at approximately $79/month, making institutional-grade SEC analysis available to retail investors, independent researchers, and small funds for the first time.
Industry observers say this could become part of a broader trend where AI collapses the economic value of repetitive white-collar research roles.
The launch comes amid a wider explosion in AI-driven financial tooling as investors race to automate research, due diligence, and market intelligence workflows traditionally handled by teams of analysts.
More information is available at https://EDGARAnalyst.com
Or contact the founder Thomas Unise on X at https://x.com/thomasunise
Thomas Unise built the platform and indexed more than 22 million SEC filings dating back to 1993, along with a full retrieval and reasoning engine on top of the data, which delivers citation-grounded analysis on 10-Ks, 10-Qs, 8-Ks, S-1s, insider trades, and proxy filings in minutes.
The result: work that traditionally required teams of junior analysts, research associates, or expensive enterprise terminals can now be performed by AI for less than the cost of a dinner reservation.
"The average 10-K is hundreds of pages. Analysts spend entire days digging through footnotes and disclosure changes. EDGAR Analyst does it in minutes."
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According to the company, the system can:
- Pull and analyze SEC filings instantly
- Detect disclosure changes between filings
- Extract tables and line items with human accuracy
- Compare companies side-by-side
- Generate investment memos automatically
- Trigger real-time AI analysis the second new filings hit EDGAR
The company claims the retrieval engine achieves approximately 98% structured extraction accuracy on major financial statement data and disclosure parsing workflows while operating at a fraction of the cost of legacy research infrastructure.
EDGAR Analyst says its for users including hedge funds, private equity firms, sell-side desks, family offices, and corporate development teams.
The platform also introduces functionality typically reserved for institutional finance tools costing tens or hundreds of thousands annually:
- AI-powered redline diffs between filings
- Footnote-aware extraction
- Real-time filing monitors
- Citation-grounded reasoning
- Structured exports to CSV, JSON, and Excel
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- Cross-company competitive analysis
One of the most disruptive aspects may be pricing.
While enterprise financial intelligence platforms can cost firms six figures annually in licenses, EDGAR Analyst launched a consumer-accessible tier at approximately $79/month, making institutional-grade SEC analysis available to retail investors, independent researchers, and small funds for the first time.
Industry observers say this could become part of a broader trend where AI collapses the economic value of repetitive white-collar research roles.
The launch comes amid a wider explosion in AI-driven financial tooling as investors race to automate research, due diligence, and market intelligence workflows traditionally handled by teams of analysts.
More information is available at https://EDGARAnalyst.com
Or contact the founder Thomas Unise on X at https://x.com/thomasunise
Source: Edgar Analyst
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