companies / fns-ai
Generated UTC · publication cutoff 2026-11-09
Insufficient cited evidence for a two-sentence summary.
verified=2026-05-21 json
| total_raised | 1,620,0001.6M (derived) | derived |
|---|---|---|
| founded | null | |
| hq | Copenhagen, Denmark | |
| industry | unknown | |
| stage | pre-seed |
FNS, or Financial News System, is an AI-only financial newsroom that extracts and structures insights from press releases and regulatory filings into real-time data for investors. It serves investors, analysts, and trading teams that need fast, structured financial news. Its specialized models replace manual gathering and distilling of news, expanding to IPOs, insider trading, and macro data, built by an ex-Reuters team.
No cited completed company acquisition recorded.
Dated disclosures. Customer relationships and classifications are historical; ARR is separate from revenue.
No cited disclosure recorded: named customer, disclosed revenue, ARR, count, B2B / B2C, sector, go-to-market.
No cited valuation with an explicit basis is recorded.
Historical post-money / actual annual or stated TTM revenue. Same currency; economic valuation date within 90 days of revenue period end, inclusive. No FX, ARR, annualized revenue, estimates or projections. Conflicts and ambiguous ties are withheld.
No qualifying pair recorded.
| date | type | amount | lead | src |
|---|---|---|---|---|
| 2026-03-01 | pre-seed | 1,620,0001.6M | null | ○ |
Cloudflare
| fact | status | src |
|---|---|---|
| Pre-seed, $1.6M | attributed | ○ |
| total | derived: Stated total is below the largest recorded round; sum of recorded rounds used | derived |
| existence | self-reported | WEB |
| description | self-reported | WEB |
| date | fact | change | src |
|---|---|---|---|
| 2026-09-28provenance_total: unknown → derived, derived 2026-05-21 | provenance_total | unknown → derived | derived 2026-05-21 |
| 2026-09-28total_raised: 1500000 → 1620000, derived 2026-05-21 | total_raised | 1500000 → 1620000 | derived 2026-05-21 |
Records begin 2026-09-24. all_changes