Egothasas

Decentralizing AI

Egothasas is building the next generation of decentralized AI infrastructure with transparent, privacy-first design.

Our Mission & Vision

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AI for All

We believe AI should not be owned by a select few. Through decentralized infrastructure, we give developers and researchers equal access to advanced machine learning tools without gatekeeping.

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Privacy by Design

Every project is built with privacy-first principles. Our blockchain-based solutions allow AI to process data across distributed networks without compromising user anonymity.

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Open Innovation

All our research is open-sourced. From core algorithms to hardware optimizations, we believe breakthroughs happen when ideas are shared freely across disciplines.

The Egothasas Team

Elena Radoslavov

Elena Radoslavov

Chief AI Architect

Elena leads our decentralized AI framework development. Formerly with DeepMind and blockchain protocol design at ConsenSys.

Daniel Kowalski

Daniel Kowalski

Head of Infrastructure

Daniel builds the core distributed computing layer. Previously scaled infrastructure at Google Cloud and built Kubernetes solutions for SpaceX.

Mikael Tuvell

Mikael Tuvell

Founder & CEO

Visionary behind Egothasas with 18 years of AI research and blockchain development. Published over 35 papers in distributed learning systems and privacy-focused architectures.

Our Tech Roadmap

Privacy Preserving AI

We launched the first decentralized AI framework with federated learning and differential privacy protection, ensuring user data remains secure while enabling collaborative training.

Decentralized AI Compute

In 2023 we launched our distributed computing marketplace, enabling AI developers to rent GPU/FPGA resources from providers around the globe.

AI Model Marketplace

Our fully decentralized NFT-based model sharing platform now has over 150,000 models traded monthly in a trustless peer-to-peer environment.

Quantum-Safe AI

We are pioneering post-quantum encryption methods integrated into AI training, ensuring long-term security for our decentralized infrastructure.

Our Core Principles

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Global Collaboration

Our team spans 18 countries and 12 time zones. We celebrate diverse perspectives in AI development to create solutions that benefit everyone.

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Long-Term Focus

We measure success by ethical AI impact, not quarterly returns. We invest in research that benefits future generations.

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Ethical Stewardship

Every AI model we deploy undergoes strict ethical review. We prioritize human well-being over computational efficiency.

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