Ted Iro@RydlrKe

Movimento is an end-to-end AI motion copilot built on Kimodo that turns natural language into controllable 3D motion for humans and humanoid robots. The core idea is simple: let creators describe intent in plain language, then use an agentic planning layer to convert that intent into structured motion scripts, constraints, and final high-quality trajectories. Under the hood, we combine Qwen-based reasoning for planning with LLM2Vec text representations for semantic conditioning, then run diffusion-based generation and post-processing to produce production-usable outputs. This project is inspired by the paper LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders, and applies that idea in a practical workflow where robust text embeddings directly improve controllable generation quality. Instead of treating language as a lightweight prompt-only signal, we treat it as a dense control interface: segment-level intent, temporal ordering, interaction context, and transition behavior are all encoded and enforced throughout the pipeline. What the system does end to end 1. User describes a scene in natural language. 2. A Qwen planner agent interprets the request and generates a structured multi-character script. 3. The script is validated and normalized into constrained motion segments. 4. LLM2Vec-based text encoding converts each segment into high-fidelity semantic embeddings. 5. Kimodo diffusion models generate motion with timeline and kinematic controls. 6. Runtime checks, fallback behavior, and validation gates keep the workflow stable for real deployments. 7. Outputs are exported for downstream simulation and robotics workflows.

Rydlr Motion Studio (Movimento) is a trust-less motion-commerce platform for AI-generated character animation. We turn every blend, validation, and runtime usage event into an economically viable transaction so creators can monetize motion assets at internet scale, not through slow licensing cycles. Our system uses Gemini for multimodal motion understanding and reasoning, then applies an oracle-based novelty pipeline to score whether a generated blend is meaningfully new. If approved, the motion pack is attested and registered on Arc, where settlement is handled in USDC with predictable, sub-cent costs. The core innovation is per-action pricing with real-time settlement: developers can charge per blend request, per animation second, or per downstream usage event, and route revenue instantly to creator, platform, and service participants. This makes high-frequency micro-commerce practical for AI and game workflows where traditional gas economics would destroy margin. Instead of batching or off-chain trust assumptions, transactions can be settled continuously with deterministic finality and clean auditability. Movimento is designed for the Agentic Economy: autonomous systems can request motion generation, pay for analysis, receive attestations, and trigger follow-on usage billing without manual reconciliation. In our demo flow, users submit motion inputs, receive an AI-generated explanation of style transitions, get a novelty decision, and then execute on-chain authorisation and usage settlement in one continuous loop. We also provide transparent economic reporting that shows why this model is viable on Arc for <$0.01 actions and why it is not viable under traditional gas-heavy networks. The result is a production-oriented foundation for machine-to-machine creative commerce powered by Gemini intelligence and Arc-native USDC settlement.

Kinetic Ledger by Rydlr Cloud Services is a multimodal AI and blockchain platform that transforms verified motion, whether human, mechanical, or environmental, into programmable financial value. Built on Circle’s Arc blockchain, it connects real-world data to stablecoin-based transactions, enabling automation, traceability, and trust. Our platform uses advanced motion recognition (via cameras, sensors, and digital twins) to capture and validate physical actions, then records these as cryptographic attestations on Arc. Each verified action, such as an aircraft using sustainable aviation fuel (SAF), an athlete performing a motion sequence, or a patient completing rehabilitation, can automatically trigger financial outcomes like carbon credits, royalties, or micro-payments in USDC. In aviation, Kinetic Ledger supports SAF traceability and APU digital twins, allowing airlines to log verified emissions reductions and align with IATA’s CORSIA compliance. In sports, it powers motion tokenization and real-time performance incentives. In healthcare, it enables smart hospital automation, linking physical rehabilitation progress with transparent billing and insurance workflows. By merging AI cognition with stablecoin finance, Kinetic Ledger bridges the gap between the physical and digital economies. It redefines how actions are measured, verified, and rewarded, establishing a universal framework for data trust and financial accountability. Our mission is to create a world where every verified movement, by people, machines, or systems, carries value and meaning. Through partnerships with Circle’s Arc ecosystem, Sasai Payments, and IATA, Rydlr aims to showcase the future of programmable sustainability, ethical AI, and motion-driven finance.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!