{"signature": "0x8f4a74a819a18d4ef9721e3d8987d3882dac73eb96da1bd5317f68bbf9063bc97cbaea6c87c7f2eea4285d6d017b032a44865f0b0fd17a247ed2a35139f197a91c", "application": {"round": "0xeA7449F8F49c712bFFc3E505d978D62024751da3", "answers": [{"type": "email", "answer": "info@inferium.io", "hidden": true, "question": "Email Address", "questionId": 0}, {"type": "paragraph", "answer": "Inferium was born out of the need to simplify and enhance AI model and agent deployment and usage. We recognized the challenges developers face in verifying and listing AI models and agents, as well as the difficulty users encounter in identifying the best-fit solutions for their needs. By building a platform that facilitates seamless verification, deployment, and intensive inference, we empower developers to showcase their creations and users to access optimal solutions tailored to their requirements.\n\nOur journey is driven by a desire to bridge the gap between complex AI technologies, whether models or agents, and user-friendly applications. This is enhanced through rigorous validation and transparency, and our unique framework of technical benchmarking and human evaluation for testing.\n\n# 🚀 Inferium's Innovations\n 1. Proof of Inference (PoI)\nA novel system for verifying AI model outputs in real-time. Every inference is hashed, timestamped, and validated (both technically and via human evaluation). Ensures models aren’t just accurate, but provably fair, reproducible, and auditable.Critical for regulatory compliance (MiCAR, AI Act) and trustless environments like DeFi, GameFi, or decentralized governance.\n\n2. Verifiable Agent Hub\nA dedicated ecosystem where developers can: Deploy AI agents. Benchmark and compare agent performance. Receive feedback and validation scores. Eventually tokenize and monetize agents through our agent layer.\n\n3. Magic Search (AI Discovery Engine)\nA proprietary ML engine that helps users find the best model or agent for their use case. Based on adaptive user behavior, feedback scores, and technical benchmarking. Recommends the most optimal AI solution for your specific problem in seconds.\n\n4. Multi-Layer Evaluation System\nMachine Score (50%): Automated testing and benchmarking of AI outputs. User Score (30%): Crowdsourced, gamified human evaluation. Author Score (20%): Original model creator input — capped to avoid bias. A flexible system that can adapt per model type (e.g., higher author score for medical models with scarce data).\n\n5. InferNodes\nAI Execution Infrastructure. Users and partners can run InferNodes to process inference jobs. Earn token rewards + revenue share from platform usage\n\n", "hidden": false, "question": "Application detail", "questionId": 1}, {"type": "paragraph", "answer": "1) We're growing strong with ATH organic stats:\n- 337k+ total users\n- DAU 8k+\n- DAU peak 55k+\n- Avg MoM 60%\n- D30 Retention 40%\n- 321k+ inference requests. \nExpecting even more as we roll out pre/post-TGE marketing. Locked in 4 major launchpads. Exchanges secured. One of the lowest IMC AI project building something innovative from the ground up.\n\n2) We are selected by Klatyn to be included in the LINE app as an ai inference dapp. We get exposure to 2.5 million of web2 messaging app consumers and users. LINE is the biggest mesasging app in Korea and Japan.\n\n3) We have released our highly anticipated human evaluation system and magic search next week, with even more models to be uploaded in the pipeline.\n\n4) We have formally completed an IRL AI education campaign to our first university (Vietnam National University HCM, University of Economics and Law), onboarded 200-300 ai devs. We have many more university educational campaigns planned in the coming months.\n\n5) Completed our AI Edu Workshop - Inferium 101: Build, Test & Deploy Models. Successfully hosted with 100 limited registered participants and a lively Q&A session, with over 50+ questions asked and an 80%+ engagement rate. 95% of attendees found the session valuable, and we saw a 20% increase in community sign-ups. More IRL and Online Workshop/Edu campaigns coming after TGE.\n\n6) We have 40+ AI models available for inference, with 14 hype niche models across diverse fields. New models added biweekly. We have 6k+ AI Apps on our studio created by our Community. We're actively onboarding more B2B clients, intalks with Arc, DeepAI, Snowflake, etc.", "hidden": false, "question": "Milestones", "questionId": 2}, {"type": "short-answer", "answer": "Our current Angels & Investors: Kucoin Ventures (Final saft signing), HODL Ventures, Insignius Capital, Connectico, X Ventures, Tempest Ventures, X21Digital, Undefined Capital, Roger GP at NGC Ventures, Lester Lim Founder X21Digital, Igor Rivalz Founder, Zhuang CMO Scallop, M87, DefiMochi, CryptoDaku, Charles, and others ", "hidden": false, "question": "Funding Sources", "questionId": 3}, {"type": "number", "answer": "15", "hidden": false, "question": "Team Size", "questionId": 4}], "project": {"id": "0x9886bc9952dfa62175ea8daa9f7fc403086fbacfd5cb88507c2b0d213f6656b6", "title": "Inferium AI", "logoImg": "bafkreid7zwhhtgourruar5uvyfqv6kufhdfr3c2ehlysgh5kblnlouhnqe", "metaPtr": {"pointer": "bafkreigsqso7ogvwymrwdsnyslhhp6zrmfd4ihnbiwp6lz4i7q7blufy4u", "protocol": "undefined"}, "website": "https://inferium.io/", "bannerImg": "bafkreicclaorzf2h3vibksvb3wt2n3qjns6rnjsnj7diizbne5spn456du", "createdAt": 1743397242914, "userGithub": "Rosei0510", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"type": "EthereumEip712Signature2021", "created": "2025-03-31T04:53:39.052Z", "@context": "https://w3id.org/security/suites/eip712sig-2021/v1", "proofValue": "0x50b56abd1b7f12479aebe00077fb63f1410da57ce73d769b5a2e702e2d520cf129a1093293aeb26060267fcf94fe1c991ab0edc8aafce52c130ebdbc6769231d1b", "eip712Domain": {"types": {"Proof": [{"name": "@context", "type": "string"}, {"name": "created", "type": "string"}, {"name": "proofPurpose", "type": "string"}, {"name": "type", "type": "string"}, {"name": "verificationMethod", "type": "string"}], "@context": [{"name": "nullifiers", "type": "NullifiersContext"}, {"name": "provider", "type": "string"}], "Document": [{"name": "@context", "type": "string[]"}, {"name": "credentialSubject", "type": "CredentialSubject"}, {"name": "expirationDate", "type": "string"}, {"name": "issuanceDate", "type": "string"}, {"name": "issuer", "type": "string"}, {"name": "proof", "type": "Proof"}, {"name": "type", "type": "string[]"}], "EIP712Domain": [{"name": "name", "type": "string"}], "CredentialSubject": [{"name": "@context", "type": "@context"}, {"name": "nullifiers", "type": "string[]"}, {"name": "id", "type": "string"}, {"name": "provider", "type": "string"}], "NullifiersContext": [{"name": "@container", "type": "string"}, {"name": "@type", "type": "string"}]}, "domain": {"name": "VerifiableCredential"}, "primaryType": "Document"}, "proofPurpose": "assertionMethod", "verificationMethod": "did:ethr:0xd6f8d6ca86aa01e551a311d670a0d1bd8577e5fb#controller"}, "issuer": "did:ethr:0xd6f8d6ca86aa01e551a311d670a0d1bd8577e5fb", "@context": ["https://www.w3.org/2018/credentials/v1", "https://w3id.org/vc/status-list/2021/v1"], "issuanceDate": "2025-03-31T04:53:39.052Z", "expirationDate": "2025-06-29T04:53:39.052Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x7cF99710162d1F45da9528454e5AF5A31c4846c7", "@context": {"provider": "https://schema.org/Text", "nullifiers": {"@type": "https://schema.org/Text", "@container": "@list"}}, "provider": "ClearTextTwitter#InferiumAI", "nullifiers": ["v0.0.0:1mT6eRYeGbOSc69zGbcfA615XasFo73RfDt8J0nIYDQ="]}}}, "description": "Inferium AI: First AI infrastructure hub for verifiable inference and agents, with real-time performance metrics and Proof of Inference for unparalleled transparency. Be rewarded for your creations, performance and feedbacks. \n\nOur platform uniquely aggregates multiple AI models and agents, and proposes the most optimal solution post-inference for every user's needs. This process is underpinned by rigorous validation (heavy technical and human eval) to ensure the highest standards of security and privacy. \n\nThe team consists of crypto professionals from X21, Microsoft, Temus (Temasek-backed), NEAR, Zokyo, and Trusting Social (which recently bolstered a $65 mil investment), most have been in crypto since 2016. \n\n- Traction: 337k+ total users, DAU 8k+, DAU peak 55k+, Avg MoM 60%, D30 Retention 40%, 321k+ inference requests \n- Angels & Investors: HODL Ventures, Insignius Capital, Connectico, X Ventures, Tempest Ventures, X21Digital, Undefined Capital, Roger GP at NGC Ventures, Lester Lim Founder X21Digital, Igor Rivalz Founder, Zhuang CMO Scallop, M87, DefiMochi, CryptoDaku, Charles, and others \n- Partners: Fetch.ai, Aethir, IO.net, Oasis, Rivalz, Mind Network, Gaimin, Push, Cluster, Agentlayer, Glacier, Gaimin, Neuromesh, Carv, Cluster etc\n- Revenue generating clients: Segmind, DeepAI, RoseonAI, SSO and more (projected ARR >$300k) \n- Chains: Base \n- Incentivized MVP: inferium.io\n- User Analytics: inferium.io/#/analytics\n\n- Website: https://inferium.io/\n- Pitch Deck: https://docsend.com/view/akwke3p3hcc6t6qj (Code: Inferium2024)\n- Whitepaper: http://docs.inferium.io/\n\nOur USPs:\n1) Filter the best model and agent to a user/dev for generic + NICHE categories (education, customer service, robotics etc). EG: You can find the best niche model (that has already been pre-tested) to help you trade stocks, and diagnose your medical symptoms in seconds. You can also compare 3 models simultaneously (so test 3 models side by side to see their performance)\n\n2) Model PVP for enterprises (meaning for B2B clients they can test how well their private models go against other companies in terms of inference). For eg, in robotics sector companies can compete against one another their ai models, and receive a private comprehensive report on performance.\n\n3) Our testing of models and agents is based on our own set of inference criteria using a mix of both technical benchmarking and human evaluation: https://docs.inferium.io/understanding-inferium/models/evaluate-models\n\n4) We are the first to adopt proof of inference", "lastUpdated": 0, "projectGithub": "inferiumai", "projectTwitter": "InferiumAI"}, "recipient": "0x7cF99710162d1F45da9528454e5AF5A31c4846c7"}}