The trust layer for robot and machine data is here
peaqOS Stream enables machines to sign, verify, and monetize their data across Web3 and beyond
→ A machine signs its data at source
→ Any data protocol or platform can plug in and monetize it
For the first time, machine data can be trusted by third parties at scale
Max retweeted
Until today, getting a robot into a simulator took 3 weeks.
Now it takes a URL: simarena.ai
Max retweeted
This is insane 🤖🤖
Great real-world showcase of the intersection between robots, life, USDT, WDK (Wallet Development Kit).
Replying to @peaq
The showcase: a simulated workflow for a @ServeRobotics delivery robot navigating Seoul on NAVER Maps, settling onchain through @WDK_tether on Solana
A robot accessing a real-world digital service, making a real-time decision, and getting paid for it
No human in the loop
All verifiable onchain — check out the blog for links to transactions and wallets, with a video for illustration
Initial. Machine. Offerings.
Together with @coinlist, we’re bringing tokenized robots to 12.5M+ people, bringing a new asset class to a global userbase
→ peaqOS turns robots into liquid yield-bearing assets onchain
→ @DualMintRWA structures the offering
→ Passage by @coinlist provides the sale infra and distribution
Real machines. Real revenue. Real ownership. Open to anyone.
blog.coinlist.co/introducing…
Max retweeted
SimArena integrated @LGE_Global's CLOi with @peaq.
You drop a robot into a digital twin of any venue, set its zones, tasks and boundaries, and train it with RL until it follows them. With the addition of peaqOS, task orchestration, fleet coordination and pay-per-skill payments all happen inside the sim.
This unlocks the full commerce loop in sim, before a robot even interacts with its first real guest.
peaq showed CLOi completing its first onchain transaction, and SimArena is where that workflow gets built and tested first.
You can now train @LGE_Global robots to work anywhere
peaq is proudly contributing to @codecopenflow's Simarena, a virtual training environment for robots
From hotel managers to restaurant owners and beyond, anyone can train their robots to operate in line with the layout and rules of the location, including any edge cases — no technical knowledge needed
→ Import your floor plan as a digital twin
→ Teach the robot the do’s and don’ts
→ Build a reinforcement learning harness that sticks
All that and more — without hardware bottlenecks or an engineering team involved
Launching in production soon
SimArena integrated @LGE_Global's CLOi with @peaq.
You drop a robot into a digital twin of any venue, set its zones, tasks and boundaries, and train it with RL until it follows them. With the addition of peaqOS, task orchestration, fleet coordination and pay-per-skill payments all happen inside the sim.
This unlocks the full commerce loop in sim, before a robot even interacts with its first real guest.
peaq showed CLOi completing its first onchain transaction, and SimArena is where that workflow gets built and tested first.
Today we’re launching a whole new asset class: liquid machines
peaqOS is finally here and it’s ready to turn robots and machines across chains into investable assets and financial actors
It’s time for blockchain to live up to its full potential
app.peaq.xyz/os
tomorrow we'll release in-depth refinement of what peaq's always been about
it will include key changes that will unlock financial opportunities and make building with peaq way easier
time to unchain the machines
Pokemon Go was just one giant DePIN all along
This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
peaq and OKX @Wallet turned a money-making robot into an onchain trader
The tokenized robo-farm in Hong Kong sells fresh greens to people and has already generated a five-figure yield for its 200+ onchain holders
Now, part of that revenue is traded on a DEX
We intend to integrate the @OKX OnchainOS AI toolkit, enabling agents to monitor markets, execute trades, and manage onchain transactions across multiple chains
Watch the demo 👇
liquid
robots
💧🤖
Agents became liquid
Now robots can become liquid too
Today we’re launching the peaq Machine Tokenization (RWA) Framework, the first full-stack framework to tokenize and finance robots
Regulator license in progress, limited spots available for the official pilot. Sign up here: form.typeform.com/to/J1c4cBq…
Live now: peaq’s founders @dorloechter, @MaxThake, and Till Wendler in the first Founders AMA of the year
Tune in for the key updates from the peaqosystem, and learn what’s next for peaq
xitter.cf/i/broadcasts/1yNGabgjY…






