ORO AI

Most models today are trained on scraped web data... But that’s not where the next performance leaps will come from. The untapped layer? Voice notes, wearable streams, receipts, calendars, diagnostics. Structured, permissioned, and rich with real-world context.

The next LLM breakthrough won’t come from model tweaks. It’ll come from test-time compute on real data: 🔸 dynamic context 🔸 source-level attribution 🔸 live inputs from devices and logs We're creating the bridge between passive models and interactive intelligence 🤝

What’s the biggest reason people don’t contribute data to AI?

AI infrastructure is becoming its own industrial revolution. 🔸 Meta is building data centers the size of Manhattan 🔸 Google’s upgrading hydropower plants 🔸 Microsoft is restarting nuclear reactors To power smarter systems, you need smarter infrastructure.

AI agents are already embedded in company workflows like handling sales, support tickets, even underwriting. But most teams still don’t trust them to run without human supervision. Why? The data layer isn’t ready. Infrastructure’s fragile. Privacy controls are missing.…

Most people don’t ask how AI works. They just expect it to understand what they mean. That only happens when the data behind it reflects how people actually think, speak, and act. That’s what ORO is built for.

Everyone’s building with LLMs. Nobody’s talking about, who owns the training data. Should contributors be rewarded for what models learn from them?

New to ORO? It’s where you contribute high-signal data like voice, logs, or wearables with full privacy and control. In return, you earn rewards when your data helps train Frontier AI. Get started here 👇 getoro.xyz/blog/what-is-o…

The question isn’t “𝙬𝙝𝙤’𝙨 𝙪𝙨𝙞𝙣𝙜 𝘼𝙄?” anymore. It’s “𝙬𝙝𝙤’𝙨 𝙣𝙤𝙩?”

Audio contributions are surging 🔊 Big thanks to everyone submitting real conversations in their native language, this data is critical for training multilingual models with real-world nuance. Reviews are in progress, and the points are coming soon 🤝

Public web data gave us chatbots. Structured, private data will give us real intelligence that AI needs to evolve. That’s the shift, that’s the unlock. That’s what ORO was built for 🫡

Samsung Galaxy AI is now live on 200M+ devices, with a goal of hitting 400M next year. 70% of S25 users are actively using features like live translation, summarization, and voice commands. It’s real usage and real product-market fit - AI meeting users where they are, in…

Sensitive data is leaking from inside company systems. @CyberhavenInc found that 82% of AI data exposures in companies come from internal tools misusing private information. Most models still aren’t designed to handle sensitive inputs safely or transparently. ORO was built to…

AI agents are getting more capable, but most still rely on brittle systems and incomplete context. To act reliably, they need structured, high-signal data with traceable origins. That’s what ORO provides: Real inputs → verified provenance → built for the real world.

We’re already living with AI, and it’s quickly becoming part of everyday life. Demand Sage estimates ChatGPT now sees 800 million weekly users and handles over 1 billion queries per day. So let’s hear from you! How often do you use AI?

You won’t find wearables, transaction logs, or voice recordings on the public web. They capture real-world behavior in real contexts, the kind of signal models need to improve decision-making, accuracy, and real-time performance. ORO makes this data usable from the start:…

Everyone talks about private data as the future of AI...but most systems aren’t built to handle it. Structuring it, attributing it, and securing proper consent isn’t easy. That’s why so much of it stays untapped. ORO makes private, permissioned data usable by design 🤝

The laws are still catching up, but private data can’t wait. While the EU AI Act and global data rules take shape, ORO is already building structure, consent, and traceability into the protocol. We're future-proofing before the regulations land 🫡