Targets early-stage fintech and enterprise software companies across Europe and North America, deploying seed and Series A capital to teams building AI-enabled infrastructure and payment rails. Asio Capital combines thematic sector research with active founder support, offering follow-on funding and introductions to strategic partners and later-stage investors. The firm sources deals from accelerator networks and technical founders, emphasizes unit-economics-driven models, and seeks durable revenue growth and pathway to category leadership. Typical ticket sizes range from seed checks to larger Series A allocations, with LPs comprising family offices and allocators seeking venture exposure to financial technology and developer tools.
Targets early-stage fintech and enterprise software companies across Europe and North America, deploying seed and Series A capital to teams building AI-enabled infrastructure and payment rails. Asio Capital combines thematic sector research with active founder support, offering follow-on funding and introductions to strategic partners and later-stage investors. The firm sources deals from accelerator networks and technical founders, emphasizes unit-economics-driven models, and seeks durable revenue growth and pathway to category leadership. Typical ticket sizes range from seed checks to larger Series A allocations, with LPs comprising family offices and allocators seeking venture exposure to financial technology and developer tools.
Focuses on early-stage fintech and enterprise software with a bias toward AI-enabled infrastructure and payments, deploying concentrated seed and Series A capital to technical founding teams. Investment decisions blend thematic research with unit-economics scrutiny, prioritizing repeatable revenue growth, path-to-category leadership, and defensible developer or financial rails. Capital allocation favors initial seed stakes with disciplined follow-on reserves to protect winners; hold periods are long‑cycle, venture‑style, while exits target strategic acquisition or growth financings. Risk management relies on hands‑on founder support, networked sourcing from accelerators, and LP alignment with family offices and allocators seeking targeted fintech/developer-tool exposure.
Focuses on early-stage fintech and enterprise software with a bias toward AI-enabled infrastructure and payments, deploying concentrated seed and Series A capital to technical founding teams. Investment decisions blend thematic research with unit-economics scrutiny, prioritizing repeatable revenue growth, path-to-category leadership, and defensible developer or financial rails. Capital allocation favors initial seed stakes with disciplined follow-on reserves to protect winners; hold periods are long‑cycle, venture‑style, while exits target strategic acquisition or growth financings. Risk management relies on hands‑on founder support, networked sourcing from accelerators, and LP alignment with family offices and allocators seeking targeted fintech/developer-tool exposure.
| Trades 2591 | Longs Won 1743/2591 67% | Profit Factor 19,509.8 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.28M |
| Average Win $459,613.65 | Best Trade (May 14) $22.68M | Sharpe Ratio -1.38 |
| Average Loss -$48.42 | Worst Trade (Sep 29) -$1,210.41 | Z-Score 11.54 (100%) |
| Commissions $0 | Avg. Trade Length 1y 10m 1w 1d | Expectancy $309,172.34 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | ∞ | ∞ | ∞ | ∞ | ∞ | ∞ | ∞ | ∞ | ∞ | ∞ |