โช๏ธ $FET โช๏ธ
BREAKING ๐จ
๐ญ.๐ญ๐ญ ๐ ๐๐๐๐๐ข๐ก AI agents have been deployed on the https://t.co/Zd9Pv61ZSO Agentverse marketplace!
๐ญ๐ญ๐ฌ ๐ง๐๐ข๐จ๐ฆ๐๐ก๐ AI agents created in the past 2 hours aloneโprobably nothingโฆ
TRY โ https://t.co/s7xYIIrofn
Show a robot a QR code, and it knows your entire store.
That's what Auki's @CactusXR platform can do.
โช๏ธ Once a store is mapped, which takes about a day, any robot just needs to scan that code to pull the map and know where it is. Click a spot on the map and it drives there on its own.
Staff shift from doing the scanning to deciding what needs attention. The robot handles the legwork, and could in theory remap a whole store overnight.
โช๏ธ Galbot G1 units are already running autonomously inside Cactus right now, handling tasks like shelf scanning and store navigation.
@Auki recently picked up a Galbot S1 too, working with Galbot and one more partner on a stealth use case targeting a high-turnover task in retail.
The team also stopped by Galbot HQ recently, here's a look at their pharmacy warehouse pilot where a G1 picks online orders around the clock๐
โช๏ธ $AUKI โช๏ธ
Watch what happens nextโฆ
One of Chinas largest retailers recently handed over decision making to AI agents
The result?
200% increase in sales
Hereโs the kickerโฆ
This was achieved with less sophisticated data than @Auki can provide
@Auki already has an AI in QA that staff can talk to for store assistance
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Pair that with there Spatial AI platform:
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๐ Real-time indoor positioning
without expensive hardware
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๐ค Better coordination between
staff, robots, and systems
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๐ Automated workflows and
smarter in-store operations
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๐ธ Lower operational and staff
training costs at scale
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Additionally with @Auki your getting a reusable platform for multiply storesโฆ
Which also integrates & controls robots!
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Scenario example
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AI detects an anomaly
Sales suddenly drop in one aisle
A robot is dispatched automatically
It inspects the area with a live video fee
The AI identifies the issue or a manager can jump in remotely and verify it
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Thatโs where retail is heading
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And @Auki stack is ahead the curveโฆ
value is now starting to be recognised:
Paid pilots span across 6,500+ stores
Goat season on route
solana:7JA5eZdCzztSfQbJvS8aVVxMFfd81Rs9VvwnocV1mKHu is moving, and it's not hard to see why.
Real revenue, real clients and imho one of the best tokenomics in crypto right now.
80% of @GEODNET 's revenue goes straight into buybacks and burns.
Accumulating through the quiet months wasn't easy, but conviction is what gets tested when nothing's moving.
The good part is that we're still early here. The autonomous future runs on precision.
Great to see DePIN moving toward shared infrastructure.
Dual-mining on a single device means less capital tied up in hardware, less complexity for hosts, and more value from every deployed location. That's exactly the kind of development that makes the host side of DePIN viable at scale.
It's also why our Superhost Locations concept at @DePINvest_io is built around the idea of running multiple networks from one site.
โช๏ธ $AUKI โช๏ธ
Built different ๐จ
Two long-term enterprise customers of @Auki now want to invest!
Think about that for a secondโฆ
Imagine being so impressed by a solution that optimized your business:
You donโt just renew the contractโฆ
You want in on the company behind it!
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One customer even said:
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โ@Auki is going to be the biggest thing in retail since the adoption of barcodesโ
Thatโs the power of Spatial AI and machine perception!
Dial in โ๏ธ
The data collection opportunity at @Auki is something I find genuinely interesting right now.
A few things that stand out to me:
โช๏ธ A partner is launching egocentric capture hardware in September that could reduce data collection costs by 20-50x.
Headsets, controllers, and wrist-worn devices that let people collect robot-friendly data while doing actual work.
โช๏ธ Auki plans to distribute this hardware through its existing customer network. Real-world data from real stores.
โช๏ธ Chinese data factories reportedly sell teleoperation data to Western AI labs for $90-$200 per hour. The market is active and growing.
โช๏ธ Auki's data would come from real customers performing real tasks. Structurally higher-quality data by how it's collected.
โช๏ธ The optionality is significant. Sell to AI labs, or use proprietary access to real-world robotics scenarios to build models and products of its own.
โผ๏ธ Sentiment remains weak and most altcoins are under pressure right now. In my experience, projects with strong fundamentals like these tend to reward patient holders over the long run.
Traditional fund management settles in two days.
AI agents make decisions in milliseconds.
That gap is not a minor inconvenience. It is a structural incompatibility that breaks the entire model.
The financial system was built for humans operating on human timelines. Manual oversight. T+2 cycles. A world that existed before AI agents could custody wallets, execute trades and manage portfolios autonomously without a single human in the loop.
That world is ending.
AI agents need infrastructure that is programmable, verifiable and always on. Not a system that sleeps. Not a system that needs two days to confirm what happened. Something built for the speed and autonomy of machine-native finance.
That is exactly what Memento is building with $DEXTF.
Non-custodial tokenized portfolios. Chainlink CCIP integration for cross-chain transfers. Deutsche Bank already completed Project DAMA using Memento's infrastructure. The institutional validation is already happened.
A new model for onchain asset management is emerging. AI agents as the native financial layer. $30 trillion in projected economic impact from AI driven financial infrastructure by 2030.
@Memento_Bc sits at the exact intersection of where that is going.
Still holding. Still convicted. ๐ค๐ฏ
DYOR.
Huge news for @GEODNET ๐
solana:7JA5eZdCzztSfQbJvS8aVVxMFfd81Rs9VvwnocV1mKHu coming to Coinbase soon ๐ฅ
I said it in my last Geodnet post and I'll say it again:
In my opinion, GEODNET is one of the most undervalued and fundamentally strongest projects in crypto right now.
The market is still sleeping on it.
@KryptoInsider1 100%
Not sure how some of these projects dont understand this concept yetโฆ
Also I want proof with communication. Too often projects simply say whatever the community wants to hear and hope theyโll forget their promises
โช๏ธ $AUKI โช๏ธ
@CactusXR UX upgrade ๐จ
Product mapping can now be done through smartphone camerasโฆ
No more manually inputting barcodes one by one with a separate scanner
โ Less labour
โ Faster deployment
Interestingly, this update came from feedback provided with an active pilot
(This is a $8M ARR client opportunity)
The customer identified a friction point
AUKI removed it with easeโฆ
Thatโs exactly how pilots turn into long-term deployments