Equity Atlas
Equity Atlas is a financial intelligence platform that deploys research-trained AI agents to read and reason over the full corpus of Indian-market disclosures—annual reports, earnings-call transcripts, investor presentations, and standardized financials—across thousands of listed companies and decades of history. Users ask questions in a chat-first interface and receive fully sourced, analyst-grade answers in seconds, with every response linked to its underlying filing.
Funding
Founders
Product
Problem
Investors and analysts covering Indian public equities face a massive information overload: annual reports, earnings-call transcripts, investor presentations, and shareholding disclosures span thousands of companies and decades of history. Traditional research tools either sample a shortlist of companies or retrieve isolated figures, missing the qualitative narrative—management commentary, strategy shifts, governance signals—that distinguishes a senior analyst's read from a simple data pull.
Solution
Equity Atlas provides a chat-first equity research platform where a fleet of research-trained AI agents reads and reasons over the entire corpus of Indian-market disclosures. The agents parse annual reports and earnings-call transcripts line by line, cross-referencing management commentary against standardized financials, insider trades, and corporate actions across years of filings. Users ask questions about a company, sector, or trend and receive fully sourced, analyst-grade answers in seconds. Every response is traced back to its underlying filing, giving investors the depth of a senior analyst's qualitative read at the scale and speed of AI.
Target Audience
Primary users are equity investors, financial analysts, and research professionals covering Indian public markets who need deep, qualitative, and quantitative analysis across the full universe of listed companies.
Features
- Chat-first research interface that accepts natural-language questions about any Indian listed company, sector, or trend
- Fleet of research-trained AI agents that read annual reports and earnings-call transcripts line by line, not just retrieve figures
- Coverage of every listed company and every filing in parallel, with no sampled shortlist
- Fully sourced answers with citations linked to the underlying disclosure
- Continuously updated corpus including annual reports, earnings-call transcripts, investor presentations, corporate actions, insider disclosures, shareholding patterns, and standardized financial statements
- Cross-referencing of management commentary, strategy, guidance, risk language, and governance against the numbers across multiple years