Arcanis (arcanis.com) today announced its launch as an AI-powered “deep decision research” solution for growth and late-stage VC markets, adding a transparent AI trust layer through meeting standardized criteria for completeness, systematics, transparency, and clarity of output.
VC is often characterized by incomplete, fragmented, or incorrect data. Professionals spend more time cleaning than analyzing. Surveys show data scientists dedicate nearly 60%of their time to data preparation, and other data professionals dedicate about 40%. In this environment, the asymmetryof information rewards those with more reliable insights. Both human judgment and AI introduce bias, and AI can amplify that bias at scale. Together with the extreme cognitive complexity of human decision-making and uncertainty in investment decisions, this has a dramatic impact on capital efficiency and human prosperity. The investors' trust gap already developed in private markets creates a serious regulatory concern, and the stark contrast between the rapid growth of IT, AI, and information availability, and the obscure, Byzantine nature of private equity investments.
Arcanis' solution equips investors with a decision-ready, interactive outcome that bridges the gap between research and decision, based on bias-free, standardized, and verifiable research, as well as the most comprehensive and stable data, supported by data verification and recovery methods utilizing OSINT techniques and a proprietary VC knowledge base. The solution is agnostic of investment philosophy or assumptions, customizable to the investor's own approach.
“Information gaps and asymmetry create capital inefficiencies and illiquidity in VC. Our mission is to introduce standards and tools that will change the game using AI and information abundance the right way,” said Alex Prokofyev, CEO and Founder of Arcanis. “AI trust layers will soon be essential safeguards in every industry where humans seek to maintain control. For capital investments, we are taking a significant step in this direction with our open Systematic Investment Intelligence framework, making Arcanis' research solution the first example of an AI trust layer for growth and late-stage VC.”
Practical advantages for AMs, LPs, family offices, GPs:
— Decision-ready company research based on pre-NDA or NDA data
— Investment Decision dashboard with interactive Risk-Return scenarios
— Fair price benchmarking for secondary trade
— Independent portfolio monitoring
— Research-based company comparisons
— Benchmarking VC funds' performance
— Investment pre-selection and Massive Systematic Strategies
— Professional community-driven development and improvement
— Time & cost efficiency
For Analysts, Arcanis research offers complete transparency into all collected data, models, and formulas. With complete Excel files readily available, this standardized and robust pre-fab foundation can support further, more sophisticated research.
In the near future, Arcanis aims to extend its research coverage to all growth and late-stage VC companies globally, updated monthly. This will significantly increase research availability, transforming the width and depth of investor insights and investment patterns.
With the support of the professional community, Arcanis is advancing Systematic Intelligence standards and professional research solutions to the ultimate scientific level, expanding a research ecosystem that fosters informed investment decisions and trust.
About ArcanisFounded at the end of 2024 as a spin-off from Arcanis Capital, Arcanis is a subscription-based provider of decision research for venture capital. Its methodology combines OSINT, data verification, and benchmark-driven analysis to deliver systematic decision-making instruments for growth-to-late-stage companies worldwide.
About Arcanis CapitalFounded in 2022 in Geneva, Switzerland, Arcanis Capital is a data-driven portfolio management firm enabling investors to capture venture capital opportunities through systematic strategies.
About Systematic Investment Intelligence (SII)Systematic Investment Intelligence (SII) is an open framework for building standards in investment research. It asserts four key principles: completeness, systematics, transparency, and clarity of output. The framework establishes measurable criteria for decision research and is designed to be validated and improved by the professional community. Without such a transparent AI trust layer, AI risks becoming uncontrollable, opaque, and dangerous. With SII, investment research becomes complete, systematic, transparent, and clear.
Media ContactMartin JordanaPR & Marketing Manager, ArcanisPhone: +353 838 170 529Email: martin@arcaniscapital.com
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