OptimAI Network

We’re proud to share that OptimAI is incubated by YZi Labs (@yzilabs) and presented at NYSE, through the EASY Residency Program. Huge thanks to @cz_binance @ellazhang516, and YZi Labs Team for the mentorship! 🙌 "EASY Residency is a natural evolution of the Binance Labs Incubation Program we launched seven years ago," said Ella Zhang, Head of YZi Labs. Backed by world-class mentors, global builders, and leading investors, the EASY Residency is more than incubation - it’s a partnership for the long road. For OptimAI, we are doubling down on our mission to build the Web3 Data Network that powers Persona Agentic AI Systems. Built for the people, by the people. With the support of YZi Labs and the EASY Residency, our journey is accelerating: + More focus on shipping and scaling OptimAI Nodes across platforms + Bringing real-world applications of OptimAI Persona Agentic System to the People worldwide + Strengthening our community-driven data network with DePIN + DeHIN infra + Building for long-term value. Not hype, not noise, but impact This is only the beginning. With the OptimAI community and YZi Labs by our side, we’re building something bold, resilient, and transformative. The future of Persona Agentic AI isn’t just imagined - it’s being built right now. Together & BUIDL!

OptimAI Search is now live on @BNBCHAIN . 🔸Powered by opBNB + Greenfield. 🔸150K+ users onboarded in 1 week. 🔸Now top #4 AI DappBay. 🔗dappbay.bnbchain.org/detail/optimai Not just search → a verifiable intelligence layer powered by millions of nodes and native agents. Data → Proof → Intelligence. Keep building! --- OptimAI is the first decentralized search engine on BNB Chain 🔸Real-time web + social data access 🔸capable of turning information into actionable intelligence And more... Stay tuned!💪

OptimAI’s next phase is coming online. Core Nodes are evolving into agent runtimes, enabling native personal agents that execute real tasks across research, workflows, and data environments. Inspired by the rise of OpenClaw, but built for network scale. A foundational step toward the Agentic Network.

Building AI agents on OptimAI? Here are a few things to keep in mind in 2026: • Start simple: Launch an autonomous agent from a single prompt. No code required. • Use decentralized data: Tap into real-time, validated sources so agents operate with richer context. • Improve continuously: Reinforcement feedback and RLHF help agents learn and evolve over time. • Go edge-native: Run inference closer to devices for lower latency, better privacy, and real-world performance. • Think agentic: Design systems that can plan, act, and adapt, not just generate responses. Docs & SDK: docs.optimai.network/docs/optimai-a… Build yours today.

What does true sovereignty in AI look like to you? Owning your data loop, agents that evolve independently, or ethical datasets governed by the community? We are building all three with its Reinforcement Data Network. Which part excites you most? 👇

AI’s energy problem is getting real. Data centers could double power consumption by 2030, putting pressure on grids as centralized giants keep stacking GPUs into massive facilities. OptimAI Network takes a different path. An EVM-based L2 with edge DePIN distributes inference across idle phones, laptops, and devices worldwide. Lower latency. Distributed load. Privacy-first efficiency. Powering agentic AI without building more mega data centers. Compute Engine: optimai.network/compute-engine

🌙✨ Eid Mubarak from OptimAI Network Wishing you a day filled with peace, gratitude, and time with the people who matter most. May this Eid bring clarity, growth and new opportunities ahead 🤍

In 25 mins we meet. 🤝

OptimAI Network is building an EVM-based L2 and reinforcement data network designed to accelerate multimodal AI in 2026. Persona Agent enables full agentic workflows: • Voice-accurate text and threads • Native generation across text, image, audio, and video • Cross-platform scheduling and execution The Compute Engine powers distributed inference: • Text-to-image, inpainting, and 2K–8K synthesis • Video generation, motion, and frame interpolation • Multimodal model runs on the edge Decentralized reinforcement for vision-language-action agents. Build: docs.optimai.network Try: optimai.im/download

Builder alpha 💡 Most on-chain AI projects start with raw blockchain data. That’s the first mistake. AI doesn’t need more data. It needs high-quality, validated reinforcement data. Start building agentic AI with OptimAI’s decentralized Reinforcement Data Network: docs.optimai.network

Join OptimAI for a live X Space on the future of autonomous agents, knowledge processing, and the AgentFi economy. We'll see you on: 📅 March 20 🕗 1 PM UTC 🔗 x.com/i/spaces/1pKkO… —— OptimAI is evolving Core Nodes into agent runtimes, where native personal agents persist, act, and learn across a decentralized network. Inspired by the rise of OpenClaw, this is what happens when agents move beyond local execution → into network-scale intelligence. From nodes → agent networks.

Use Case: Training Agentic AI on Decentralized Reinforcement Data The next generation of Web3 AI agents trains on verifiable, community-validated reinforcement data—not noisy centralized scraps. With OptimAI Network, builders access a live data layer powered by decentralized contribution and validation: • Privacy-preserving web & social intelligence • DeHIN-validated behavioral and interaction patterns • Edge-sourced, real-world context from distributed devices • Continuously reinforced signals across markets and user activity This creates a feedback loop where data doesn’t just accumulate - it improves. Agents trained on OptimAI don’t rely on stale context. They adapt, evolve, and act on real-time, network-validated intelligence. optimai.network/ai-agents/

The reinforcement network at scale: 1.5M+ nodes. We fuel tomorrow's agents. Keep building → node.optimai.network

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building! optimai.network

AI-focused DePIN is emerging as one of the fastest-growing sectors in crypto. Nearly 48% of DePIN market cap is now tied to AI infrastructure, with the sector valued around $12B in early 2026 and projected to scale significantly as compute, data, and bandwidth decentralize. OptimAI is positioning at the foundation of this shift, building a reinforcement data network and decentralized inference layer for agentic AI.

Your Data. Your Agent. Your Control.

Agentic AI isn’t just about smarter models. It requires verifiable data, edge compute, and on-chain economies. We bring these layers together: • Lite Nodes via Browser, Telegram • Edge Nodes on mobile • Core Nodes on desktop and servers Power autonomous agents. Earn rewards. Participate in the infrastructure. What do you see as the biggest barrier to agentic AI, compute, data, or trust?

How do we handle access and monetization for AI services? - Users receive daily free credits for LLM inference and agent operations. - Additional compute can be accessed through optional top-ups in stablecoins or crypto, with credits offsetting the underlying LLM usage costs. The network token supports the ecosystem through: • Rewards for node and data contributors • Participation in on-chain governance • Future data and compute marketplace transactions

Gartner predicts 40% of enterprise applications will include task-specific AI agents by 2026. But it also warns that over 40% of agentic projects may be cancelled by 2027 due to cost, risk, and limited value. One missing piece: verifiable data and transparent governance. We address this with its Data DAO and reinforcement data layer, enabling community validation, quality scoring, and aligned incentives. Infrastructure for trustworthy agentic AI.