Our mission
Better decisions, and the record behind them.
Auryn does the analysis a large firm keeps a team of analysts for, and holds every fact it produces on one record from first contact to the LP statement. You can see how each conclusion was reached, and you still make the call.
Why we started Auryn
We lived these three numbers for years before we built anything against them. They are the whole argument for the product.
- Diligence per deal
- Median time a firm spends on a single opportunity it takes seriously. Most of that work produces a no, and the no is what limits how many companies a small team can look at.
- Opportunities per close
- Roughly a hundred companies are considered for every deal that closes. Without screening that scales, the other ninety-nine get a fraction of the attention they deserve.
- Return below 1x
- Around two thirds of venture financings return less than 1x. Outliers carry the fund, which is what makes the screening problem existential rather than administrative.
Diligence and cycle figures: Gompers, Gornall, Kaplan and Strebulaev, Journal of Financial Economics, 2020. Return distribution: Correlation Ventures, 21,000+ financings, 2004 to 2013.
What we will not automate
Three commitments that decide what gets built and, more often, what does not.
- Augment, never replace
- The machine does the grunt work and shows you how it got there. You make the call. Every screen, score and scenario is inspectable, and every one of them can be overridden.
- One continuous record
- The facts captured at intake are the facts the LP statement is built from three years later. Nothing is re-entered, so nothing drifts between the deal memo and the capital account.
- Built with investors
- We built Auryn alongside its first users and still do. The workflow follows how investment teams already work rather than asking them to adopt a new one.
What changes in practice
The same seven jobs, before and after. Nothing here is a feature list; it is where the hours go.
| Job | Traditional approach | With Auryn |
|---|---|---|
| Sourcing | Cold outreach tracked in spreadsheets and inboxes | AI sourcing finds and contacts companies on thesis |
| Screening | Manual screening of every application | AI screens every deal against your thesis |
| Diligence | Spreadsheet-based due diligence | Structured analysis with pwMOIC calculations |
| Monitoring | Quarterly portfolio updates (maybe) | Real-time portfolio KPI monitoring |
| Valuation | Gut-feel valuations | Data-backed exit scenario modeling |
| LP reporting | LP reporting assembled by hand | Capital calls, distributions, and LP statements in one place |
| Team knowledge | Siloed team knowledge | Collaborative team decision workflows |
From the blog
Introducing Auryn: AI deal intelligence for modern VC
The full story behind what we built and why, from the research on gut-feel investing to how structured screening changes outcomes.
Read the articleThe company
- Founded
- 2026
- Location
- Gothenburg, Sweden
- Entity
- Auryn Labs AB
A Swedish company building AI tools for venture capital, working directly with the small funds and family offices on the platform to decide where it goes next.
Run one deal through it.
Start free with one full deal analysis and see what Auryn finds. Upgrade when you are ready to run your whole pipeline.