eveince is a research-and-development company dedicated to applying AI reasoning, machine translation, and computational models to enhance the quality and accessibility of education worldwide.
We chose this field because we believe that, although humans already have libraries, encyclopedias, and search engines to help us find information, the material in those resources is often written as objectively as possibleâleaving knowledge static and lifeless.
Is there any way AI can bring this information to life? Can it help us exercise our working memory so we understand knowledge more deeply? Could humans and AI connect at a level beyond language, the way people connect with one another?
These questions are at the core of our research at eveince. Most exciting of all, we believe learning should preserve our quirks instead of forcing us into the boxes created by previous minds. It may sound like an unreachable dream: a teacher who can share knowledge without stifling the studentâs soul. Yet if we discover how to interact with AI on a level higher than language, that dream could come true.
This visionââliberation while remaining connected to others,â or being able to think as ourselves while staying open to other minds and communicating with the worldâis so compelling to us that it feels like a reason for life itself.
origin story
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Although eveince now focuses on computational models, it began with a very different mission. We were initially established to build a platform of machine-learning models that assessed financial-market risk in real time and traded at medium-high frequency, aiming to become a fully automated hedge fund with an initial focus on crypto markets.
We developed and launched our models and trading system, but in the early monthsâbecause of business complicationsâwe could not launch properly or align our technology with the marketâs tight regulations. Abandoning the project felt impossible, given the completeness and soundness of the work.
Our philosophy of asset management
Introduction to our funds
Our platform features
Order placement whitepaperÂ
Why crypto market? Â Â
The system architecture and models were market-agnostic, but applying it to other asset classes still required substantial R & D, and we had roughly three months to decide our path. We built a short runway with personal funds, sought new investors, and worked toward compliance. In 2022 we registered Eveince GmbH in Germany (lower operating costs and a clearer regulatory view of crypto) and started pitchingâbut our odds were slim. Crypto prices were at historic lows, financial institutions were collapsing (Silicon Valley Bank, FTX, etc.), and we were unknown founders touting an advanced trading systemâhardly reassuring to fearful VCs.
Even knowing it was bad timing, it felt like a now-or-never moment; we preferred trying to the regret of quitting. During that period we generated more than $23 million in trading volume and outperformed every long-only hedge fund listed by Crypto Hedge Fund Research in 2022, sustaining superior returns and Sharpe ratios for all three of our funds over twelve months.
Basso fund  Â
Moderate fund  Â
Alto fund
AvantGarde fund  Â
As funds dwindled and regulatory hurdles mounted, we stopped courting investors. Instead, we focused on our obligationsâpaid our team in full, dissolved Eveince GmbH, and re-registered in the United States as Eveince Inc. Remarkably, the team stayed together to the end, and half of us still work at Eveince Inc.
Perhaps our best product has always been our team.