Our Mission
We're building the
infrastructure for modern VC
Auryn combines AI deal intelligence with rigorous analytics so investment teams spend less time on busywork and more on decisions that matter.
The Challenge
Why we started Auryn
After years in venture capital, we lived these problems. So we decided to fix them.
VCs spend over 100 hours on due diligence per deal. With limited bandwidth, good opportunities slip through while teams grind through spreadsheets.
Firms consider around 100 opportunities for every deal they close. Without scalable screening, the other 99% get a fraction of the attention they deserve.
Around 65% of venture investments return less than the capital invested. Outliers drive fund returns, which makes the screening problem existential.
Our Philosophy
AI-assisted, human-decided
AI shouldn't replace investors. It should give them better tools to do what they already do well.
Augment, Never Replace
AI handles the grunt work. You make the calls. The best investment outcomes come from human judgment backed by good data, not replaced by algorithms.
Institutional Rigor
Built on frameworks used by top-tier funds: pwMOIC calculations, exit scenario modeling, and thesis alignment analysis. All available from day one.
Built With Investors
We're building Auryn alongside our early access users. Every feature is shaped by real feedback from people who actually use it.
The Auryn difference
- -Manual screening of every application
- -Spreadsheet-based due diligence
- -Quarterly portfolio updates (maybe)
- -Gut-feel valuations
- -Siloed team knowledge
- +AI screens every deal against your thesis
- +Structured analysis with pwMOIC calculations
- +Real-time portfolio KPI monitoring
- +Data-backed exit scenario modeling
- +Collaborative team decision workflows
Company details
Auryn is a Swedish company building AI tools for venture capital. We're in early access, working with select investment teams to shape the platform.
Ready to rethink your
investment process?
Join our early access program. We work with every early user to build the tools investment teams actually need.