About Frontier Rounds
Frontier Rounds brings together AI company funding histories, investor profiles and financing records. Company pages connect products and teams with their funding history; investor pages explain investment focus and selected portfolios. Records include source links and distinguish disclosed figures from reported claims. The site is free to browse and requires no account.
Explore AI Funding Data
If you track the market
Funding Leaderboard
25 companies in the historical funding snapshot, with transaction scopes and source evidence explained alongside the data.
If you follow a company
Company Histories
175 company profiles covering funding and ownership milestones, with source links and the narrative that connects them.
If you study the capital
Investor Atlas
30 investor profiles, cross-linked to company histories and organized into 17 investor categories.
Funding Sources and Evidence Grades
- Disclosed
- The company published the figure itself, or the figure appears in an official filing.
- Reported
- A qualifying publication reported the figure; it is attributed to that report rather than treated as a direct company disclosure.
- Estimated
- The figure is inferred from analyst or market data and must be identified as an estimate.
A grade describes evidence for a specific figure, not company quality or every number in the company's history.
Source evidence applies to a specific figure. We distinguish company disclosures and filings from attributed reporting, preserve uncertainty in the original source, and remove claims that cannot be supported.
See the funding leaderboardIndependence and How This Is Funded
Frontier Rounds is independent and self-funded. It takes no venture investment, runs no ads, and sells no placement: a company cannot pay to improve its grade, rank or wording. Everything is free to read, without registration.
Any future sponsorship or data licensing will be disclosed and kept separate from the evidence used to describe a company or financing.
Corrections and Updates
Financing records change as better evidence appears. Verified changes are applied to the underlying record; unsupported numbers, dates or transaction identities are removed. The website links to the sources used for its selected records.
Who Is Behind It
Frontier Rounds is built and maintained by Kostja, a growth practitioner working with AI companies. The site brings company financing histories and the investors behind them into one place.
For the story behind Frontier Rounds, read the introduction. Company histories and investor profiles are free to read.
FAQ
Is Frontier Rounds free, and do I need an account?
The site is intended to remain free to read without registration. Public navigation, company histories and investor profiles do not require a reader account.
Does the name Frontier Rounds restrict coverage to frontier-model labs?
No. The intended scope includes AI applications, agents, infrastructure, data and directly related upstream or downstream businesses. A traditional company's general use of AI is not by itself enough to make all its financing AI-specific.
What financing is the project currently expanding?
New coverage currently focuses on company equity financing. Some historical pages also retain other transaction types for context. Legacy records do not imply that debt, IPOs or acquisitions are part of the current expansion programme.
How can I report an incorrect amount or investor attribution?
A useful correction identifies the page URL, the disputed field and supporting primary evidence. Compare the cited source with the published record; a replacement number without context is insufficient. No public correction contact is currently listed.
Does the site predict fundraising outcomes or recommend investments?
No. It records and explains financing history. Historical comparisons, investor relationships and rankings do not predict future rounds, score company quality or constitute a recommendation to invest.
Can a commercial relationship determine a confidence label or ranking?
It should not. Evidence labels concern the nature of the source, and rankings follow the stated data dimension. Payment or affiliation is not a basis for upgrading evidence or moving an entity up a fact-based table.