Company intelligence
Profiles, operating metrics, ownership, people and competitors stay connected instead of living in separate research tabs.
Research companies, public and private markets, investors and transactions from one connected platform. Keep the evidence, context and workflow together from first question to final decision.
Built for investment, corporate and advisory teams that need source-aware research.
Nasdaq: MSFT Software
Revenue · FY 2025
$281.7B
vs FY 2024
Company data, private markets, public markets, transactions, investors, research, filings and news become one navigable research environment.
Profiles, operating metrics, ownership, people and competitors stay connected instead of living in separate research tabs.
Public and private-market signals sit beside the company and industry context that helps explain them.
Funding, M&A, investors and fund activity share one transaction trail so changes are easier to follow.
Filings, earnings, research and news remain attached to the evidence behind each supported conclusion.
Use natural language to search structured market data and source documents, then move directly into the companies, transactions and evidence behind the answer.
What changed in data-center infrastructure this quarter, and which companies are most exposed?
Surface the most material operating, transaction and market developments first.
Connect each change to company exposure, valuation, ownership or competitive context.
Keep filings, earnings calls, company announcements and transaction records available for review.
Each research surface shares the same company, investor, transaction and evidence model so a question can move from discovery to diligence without starting over.
Financials, filings, earnings, ownership and peer context on the same research path.
Private companies, investors, funding, buyouts and exits with transaction context attached.
M&A and financing activity with participants, comparable transactions and supporting documents.
Investor, fund, portfolio and people relationships connected to recent activity.
Build precise company universes with structured filters and natural-language criteria.
Organize companies by segment, ownership, scale and activity without losing the underlying set.
A consistent workflow reduces context switching and makes the final analysis easier to review, share and repeat.
Search companies, people, investors, deals and source documents from one starting point.
Turn the first result into a screen, peer set, market map or transaction universe.
Open filings, earnings, research and supporting documents without dropping company context.
Review source provenance, reporting periods and freshness before using a conclusion.
Save the company, market or query and return when something important changes.
The same connected evidence model supports different investment, transaction and strategy workflows without turning each project into a new data assembly exercise.
Build market maps, company screens, comparable sets and buyer lists from connected market and transaction context.
Turn a thesis into a target universe, diligence companies and follow ownership and transaction activity.
Discover emerging companies, understand funding activity and see which investors are active in a category.
Keep financials, filings, earnings, ownership and peer research tied to the investment view.
Identify targets, benchmark competitors and understand relevant M&A activity from the same market view.
Build a defensible market view with company, industry and transaction evidence available for review.
Source visibility, reporting periods, freshness indicators and unavailable-data states are part of the research experience, not a footnote.
Keep the provider, document and evidence trail close to the fact being used.
Show reporting period and update context instead of treating every record as equally current.
Move from a summary or metric back to the filing, call, announcement or source document.
Keep companies, people, investors and transactions linked so changes can be understood in context.
How Capital Almanac handles source material, unsupported information and the path from a research question to a reviewable answer.
Capital Almanac is a market-intelligence research platform for companies, markets, investors, funds, deals and source documents. It helps research teams move from a question to evidence while preserving the source trail.
No. Search, profiles, comparisons and AI-assisted research are intended to make source material easier to discover and work with. Material conclusions should still be checked against the underlying filing, document or licensed record when the decision requires it.
When a trustworthy source does not support a field or claim, the information should remain unavailable or be narrowed to what can be substantiated. Missing values should not be silently converted into zero, guessed or replaced with a plausible-looking estimate.
See how company intelligence, market data, transactions and source evidence can fit your team's research workflow.