HashNET is a social innovation R&D lab for AI and DLT

Talk to our experts Research, pilots and training with public institutions, industry and universities.

About us

We combine DLT, AI and robotics to work on real-world problems, and we test the results in pilots with partners.

Our DLT runs on a Directed Acyclic Graph (DAG) with a Proof-of-Stake (PoS) consensus mechanism. It supports up to 100,000 transactions per second (TPS) at low energy use, which makes it the most sustainable DLT solution available. We build it for governments, enterprises and developers.

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Our vision

  • We work toward a world where DLT, AI and robotics serve innovation, efficiency and equity. Through social innovation and shared knowledge, we are building a connected, inclusive ecosystem that fosters progress, shared prosperity and a sustainable future.

What we work on

  • DLT for real-world applications
    Our Directed Acyclic Graph (DAG) architecture scales to up to 100,000 TPS with low energy use. It runs national infrastructures, AI agents and IoT networks, with secure, real-time applications and less environmental impact.
  • AI for better decisions
    Our AI research analyzes complex data, predicts outcomes and optimizes operations, from automated systems to smart cities.
  • Robotics with DLT and AI
    We pair AI with DLT-secured records to develop robotics that is transparent and accountable. DLT-backed records make the results reliable and trusted.

Where it makes a difference

  • Social innovation through knowledge sharing
    We use technology to foster social innovation. Through mentorship networks and open platforms, we take on global challenges such as education inequities and climate action.
  • Metaverse with DLT and AI
    A secure, scalable metaverse with transparent interactions and personalized experiences. From digital asset verification to decentralized governance, we lay the foundation for a digital ecosystem.
  • XR for learning and collaboration
    VR and XR environments for learning, collaboration and training, from virtual classrooms to real-time simulations. They connect the physical and digital worlds with security and scalability.

Who we are

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Expertise

At CO-LAB, a network of over 2,600 MBAs and PhDs brings deep knowledge of DLT, AI and digital transformation to every project.

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Research

We follow global trends and advances in DLT and AI continuously and turn them into forward-looking solutions for our clients.

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Solutions

We build AI and DLT solutions around your own challenges. Our cross-industry experience covers automotive, healthcare, public administration and more.

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Education

Our training programs include certified MBA courses and specialized tracks in DLT, AI and Digital Transformation Leadership, for beginners and experienced professionals. We give your team the skills to work in a technology-driven world.

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Transformation

At CO-LAB, we guide organizations through their frontier tech transformation and help them develop and implement DLT and AI strategies.

Partner with us on innovation and sustainable growth in your next project.

Work with us

Build with HashNET

Ready to integrate DLT and Artificial Intelligence (AI) into your company’s processes? We start from your goals and your industry.

HashNET delivers secure, scalable DLT and AI solutions across public administration, manufacturing and healthcare. Whether you want to digitalize your operations, streamline processes or find new opportunities in emerging technologies, we offer:

  • Customized DLT and AI solutions: built around your goals and your industry.
  • Expert training and development: hands-on collaboration with our experts, so your employees learn current DLT and AI skills.
  • Future-proof technology: advanced solutions designed to last.

Projects

Partners

We co-develop frontier technology with industry leaders, universities and public institutions. These partnerships speed up adoption and grow an ecosystem of innovation.

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Insights

Articles and research notes on AI and DLT from the HashNET team.

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The Founder Is the Front Page

Building in public in the age of AI: a practitioner’s thesis on...
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Read, Write, Own, Think

Four webs, one race that will not stop, and why this time...
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One Founder, Eight Weeks, Four Hundred Agents

Case Study: ARIA, the AI Retention and Interaction Assistant: a case study...
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The Right Context, Not All of It

A lesson in context engineering: what an agent needs before it starts,...