Do you follow market hype?

Or invest with data-driven conviction?

Or invest
with data-driven conviction?

The answer has always been obvious...

Now the infrastructure exists to act on it.

The VC secondary market is shaped by sales-side research, pattern-matching, and access to the right networks. Arcanis Capital runs on a different logic: proprietary methodology, AI-native system, and a single obsession: finding asymmetric risk-reward before the market has priced it.

All right reserved

©

Arcanis Capital

1999 - 2026

Our Investment
Approach

Systematic Strategies for Venture Investing

The VC secondary market is the primary liquidity mechanism for investors, founders, and employees, yet lacks the analytical rigour equity markets demand.

Arcanis Capital was built to deliver it.

Our engine continuously tracks 34,000+ growth and late-stage private companies across all available public and private data: financial disclosures, primary and secondary round histories, sector and peer comparables, regulatory filings, and company-specific signals. Every company is updated as new data arrives, and every history is preserved. This is not a search universe queried opportunistically; it is a continuously maintained dataset, the analytical surface on which every investment decision is built.

The engine identifies where probability-weighted upside materially exceeds the priced downside  and where that asymmetry is defensible, not assumed. Multiple scenarios capture all material risks and upside factors, reflected in a calibrated DCF. The same methodology framework applies to all companies, with a full decision log behind each number. Our proprietary framework disciplines AI to produce repeatable outputs, analysts can override any input, with adjustments logged and attributed.

Systematic Risk Management

Discovery & Pre-Selection

Key Advantages

Research & Selection

/ 1

Discovery
& Pre-Selection

  • Screen 34,000+ growth and late-stage companies continuously — institutional filters applied without exception.
  • Revenue above €50M, last valuation above €1B, Series C+ — ranked by revenue growth, a bias-resistant proxy for value.
  • The Top-20 cohort historically delivers 38–40% average IRR; inner top quartile approximately 80% IRR.
  • Every ranking and filter decision is logged and traceable; analysts can adjust any input, with each change documented and attributed.

/ 2

Research
& Selection

  • Every material risk and upside factor named, modelled, and reflected in a calibrated DCF producing a full probability-weighted scenario analysis per company
  • Same methodology, same risk taxonomy, same factor library applied to every company with no exceptions
  • AI used only for data cleaning, never for final reasoning or pricing; our proprietary framework disciplines AI systems to produce repeatable, verifiable outputs
  • All calculation and verification runs in Python with an explicit flag system for every assumption and source; analysts can refine any input, with every adjustment documented

/ 3

Systematic Risk Management

  • Run multiple weighted scenarios across all material risks and upside factors, producing a probability-weighted decision price, IRR, and Cash-on-Cash for each company.
  • Define entry and exit strategies based on verified systematic criteria, not GP discretion or market sentiment.  
  • Real-time benchmarking and rebalancing tools for dynamic portfolio optimisation.
  • Each position in its own dedicated vehicle (SPV or AMC), ideally with an individual ISIN, individually transferable on the secondary market at any time

Note "Discovery & Pre-Selection"
Back-test methodology — Semi-annual cohorts from H1 2018 through H2 2024, 14 distinct vintage cohorts. Each cohort held until exit via IPO, M&A, bankruptcy, or end-of-period valuation as of 31 December 2025. The 2022 valuation correction is fully reflected — not excluded or smoothed. Benchmarked against the S&P 500 and the Morningstar PitchBook Unicorn 30, not handpicked VC peer funds. The simulation assumes zero secondary-market entry discount, despite Arcanis's live sourcing producing exactly that in deployment. Full cohort-by-cohort data and selection logic available under NDA.

Our Selection Methodology

From raw data to IC-ready insights in 6 steps

Over 
34,000

AI-powered tracking of 34,000+ global companies

Universe

Proprietary data infrastructure continuously monitors the market, identifying opportunities beyond traditional sourcing channels.

Screening

Companies are ranked using consistent, data-driven metrics, narrowing the universe to a focused set of high-potential opportunities.

Top 20

After Objective scoring and systematic filtering

Deep Dive

AI-assisted evaluation with human validation across value potential 
and 30+ risk factors

Select

Final selection based on portfolio fit 
and risk-adjusted return analysis

Leader

Quarterly Selected Best Company


[ Automated ]

Preselection

Quarterly top
20 companies


[ Automated ]

Preselection

Quarterly top 20 companies

[ Semi-automated ] 

with human-in-the-loop

Final selection

Quarterly finalist
of 20 companies

[ Semi-automated ] 

with human-in-the-loop

Final selection

Quarterly finalist of 20 companies

The Future of
Investment

Where AI and Human Expertise Converge

AI Meets Human Precision

An AI-powered engine running on encoded methodology, not freeform reasoning. Every decision chain is inspectable, every output reproducible. Human analysts set the framework, validate the baselines, and sign off on every price. The same inputs always produce the same outputs by design, not by chance. AI handles the scale at every step; humans own the judgement at every decision.

Data-Driven, Objective Approach

Encoded methodology, not LLM agents, the same inputs always produce the same outputs. Human-verified baselines with fully customisable orthogonal scenarios and configurable weights. Hundreds of company signals collapsed into a small set of distinct future paths, with expert overlays and scenario-based price ranges built for real deal decisions. Every output is inspectable, traceable, and ready to present.

Asymmetry,
Not Consensus

Asymmetry, Not Consensus

Most secondary capital arrives last to positions already widely owned, paying par for crowded exposure. Arcanis computes the full IRR probability distribution across orthogonal scenarios for every selected company — identifying companies with the highest asymmetric risk/reward. We allocate where the upside probability is highest and the downside band is tightest. The market is not yet measuring this. We are.

Transparency
and Trust

Transparency and Trust

Every number an investor sees can be traced to its source, re-derived, and challenged. Inputs are fully documented, assumptions explicitly flagged, every analyst adjustment logged and attributed. Our proprietary framework keeps AI outputs consistent and reproducible. Every position comes with a complete decision log: traceable inputs, documented assumptions, and an audit trail ready for any IC or LP review.

Performance Comparison

Arcanis Capital Systematic Strategy vs S&P 500 vs Stableton Unicorn 20 Reference Index

Tracking Portfolio Growth Across Key Indexes and Our Proprietary Strategy

1M Investment performance comparison (Arcanis Revenue Growth Top 20 vs Stableton Unicorn 20 vs S&P 500), 2018-2024

Arcanis Revenue Growth Top 20

×5.00 CoC

Stableton Unicorn 20

×2.42 CoC

S&P 500

×1.85 CoC

Contact Us

Schedule a walkthrough of the methodology, a review of the current conviction positions, or a discussion of partnership structures for institutional LPs.

Next step
Request the full deep research memo (~30 pages, NDA), the live secondary order book, and a 30-minute call with the investment team.

By clicking Submit you agree with Arcanis Legal Notice

✔️
Thank you! Your message has been received.
Something went wrong while submitting the form