Theoriq’s cover photo
Theoriq

Theoriq

Information Services

Agent Swarm Protocol Advancing the Agentic Economy.

About us

Theoriq advances an Agentic Economy by building AI Agent Swarms that act as new economic actors deployable across DeFi ecosystems. By combining its in-house agent coordination protocol and open-source leading language models, Theoriq is set to lead the next evolution of DeFi with its agent swarms technology.

Website
https://www.theoriq.ai/
Industry
Information Services
Company size
11-50 employees
Type
Privately Held

Employees at Theoriq

Updates

  • We've been busy here at Theoriq as we prepare for $THQ TGE this December, but we wanted to share a first look at AlphaVault, our flagship product bringing autonomous onchain yield to the masses. We'll have a LOT more to share when we roll out Phase 2, but for now, here's a bit of a sneak peek!

  • Thankful for an incredible trip to Seoul for #KBW and Singapore for #TOKEN2049. It was a great opportunity to discuss where AI and crypto are going together, and share how Theoriq is building autonomous capital management tools for the Agentic Economy. Thank you to all the teams, KOLs, and friends we met with over the last few weeks. It's been a pleasure connecting with so many different parts of the crypto community.

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  • Grateful. Energized. Focused. Thank you for the overwhelming response to the $THQ community sale on the Kaito Capital Launchpad: • $78M+ in total pledges • 25% of the cap in the first 5 hours • ~4,000% over our initial raise target This belief in our team and vision means the world. It took careful planning, late nights, and a lot of coordination to reach this moment, and it’s only one milestone on our path to building the future of AI × Crypto. To everyone who pledged, supported, shared, or spread the word: thank you. We’re just getting started, and we’ll keep earning your trust with transparent updates on what's next.

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  • We’re excited to announce our partnership with Arrakis to accelerate the future of Agentic Finance. By integrating Theoriq’s Agent Swarms into Arrakis’ industry-leading vault infrastructure, we’re unlocking smarter, automated liquidity deployment and yield optimization, making capital efficiency simple for the next generation of DeFi users. Looking forward to what we’ll build together. 🤝🏽

    View organization page for Arrakis

    6,786 followers

    Arrakis launches the Onchain Liquidity Provisioning (OLP) Agent Swarm built by Theoriq. This enables agentic access to Uniswap via Arrakis vaults, using algorithmic rebalancing and range optimization to maximize onchain volumes. Liquidity providers can now supply tight-range liquidity to spot pairs via an agentic interface with Arrakis. → Theoriq agents deposit & withdraw LP funds → Funds flow to Arrakis public vaults for Uniswap → Arrakis keeps liquidity in-range → LPs earn fees from onchain volume

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  • Welcoming another Key Leader to Theoriq Foundation! We’re excited to introduce another powerhouse to our leadership team! 🦾 CEO & Co-Founder Ron Bodkin welcomes our new COO & Executive Director, Pei Chen! Pei was previously at Consensys, RootstockLabs & Sei Foundation, and will spearhead our go-to-market strategy, driving growth and impact for the Theoriq Foundation. We’re thrilled to have her on board—join us in welcoming Pei! 👏

  • Theoriq reposted this

    View profile for Sam Kamani

    Investor | Co-founder | Web3 Podcast Host | Bestselling Author

    What if AI could operate collaboratively, transparently, and free from monopolistic control? In Episode 196 of Web3 with Sam Kamani Podcast (Web3Pod.xyz), I sat down with Ron Bodkin, founder of Theoriq, to explore how decentralization is transforming the future of AI. Theoriq’s platform empowers developers to build collaborative AI agents that solve real-world problems while ensuring decentralization and sustainability. Here’s what we covered: 👉 What is Theoriq? Ron explained how Theoriq is building a decentralized protocol for AI agents, moving beyond simple API wrappers to enable specialized and collaborative tools. 👉 Web3 meets AI: Decentralization in Web3 challenges the traditionally centralized nature of AI, opening new doors for innovation and accessibility. 👉 The dangers of centralized AI: Ron emphasized the risks of monopolistic control by tech giants and how decentralization is key to maintaining fairness and innovation. 👉 Beneficial AI and real-time data: Theoriq focuses on creating AI agents that prioritize human benefit, leveraging real-time data to solve specialized problems collaboratively. 👉 Empowering developers: Developers can use Theoriq to build impactful agents, integrate diverse data sources, and even monetize their creations. 👉 The role of governance: Decentralized AI needs governance to avoid pitfalls seen in corporate-controlled systems, and DAOs can play a pivotal role in ensuring transparency. 💡 Whether you’re into AI, Web3, or the future of decentralized technology, this episode offers a deep dive into Theoriq’s groundbreaking work. Also a huge thanks to Anjali George, Gionna Fanti and M Group Strategic Communications for making this interview happen, especially amidst the hectic schedule of DevCon. 🎙️ Tune in to learn: How decentralized AI agents are reshaping the future of AI and Web3. The challenges of funding open-source AI and how Web3 provides solutions. Why decentralization is crucial for the next generation of beneficial AI. 🚀 How do you see decentralization changing the AI landscape? 

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  • Theoriq reposted this

    View profile for Dmytro Nikolaiev

    Building AI agents @ Theoriq

    While the whole AI community is still buzzing from the release of OpenAI's o3, we dove into another interesting contribution at this week's Theoriq Paper Club. Our research team discussed "Gödel Agent: A Self-Referential Framework for Agents Recursively Self-Improvement," and we’re excited to share some takeaways. 1️⃣ Revolutionary Self-Improvement: Inspired by Gödel machines, Gödel Agent introduces a framework for an agent to modify their own code fully dynamically, leveraging recursive self-improvement to achieve better efficiency, generalizability, and task performance. Using Python-based runtime introspection and monkey patching, Gödel Agent updates its logic and runtime behavior, introducing unprecedented adaptability to evolving challenges. 2️⃣ Flexibility Beyond Human Priors: Unlike traditional hand-designed or meta-learning-optimized agents, Gödel Agent eliminates predefined routines, allowing the agent to freely explore and optimize across the entire design space autonomously. 3️⃣ Challenges and Future Potential: While Gödel Agent's promise is evident, challenges like robustness, error handling, and the current limitations of foundational LLMs open doors to explore collective intelligence, theoretical optimization boundaries, and safety considerations. We believe that this kind of self-evolving agents is a bold step toward autonomous AI systems capable of iteratively refining themselves without human intervention. The paper has certainly inspired us to rethink the boundaries of agent design, especially in the context of multi-agent collaboration. Read the full paper here: https://lnkd.in/g_RMkiwf

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Funding

Theoriq 1 total round

Last Round

Seed

US$ 6.2M

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