NEXS HUB

[NEXS @neXs_ai]

▪️ $AUKI ▪️

Watch what happens next…

One of Chinas largest retailers recently handed over decision making to AI agents

The result?

200% increase in sales

Here’s the kicker…

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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📍 Real-time indoor positioning
without expensive hardware
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🤖 Better coordination between
staff, robots, and systems
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📑 Automated workflows and
smarter in-store operations
——————————————————
💸 Lower operational and staff
training costs at scale
——————————————————

Additionally with @Auki your getting a reusable platform for multiply stores…

Which also integrates & controls robots!

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Scenario example
—————————

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

——————————————
That’s where retail is heading
——————————————

And @Auki stack is ahead the curve…

value is now starting to be recognised:

Paid pilots span across 6,500+ stores

Goat season on route

[NEXS @neXs_ai]

▪️ $AUKI ▪️

Built different 🚨

Two long-term enterprise customers of @Auki now want to invest!

Think about that for a second…

Imagine being so impressed by a solution that optimized your business:

You don’t just renew the contract…

You want in on the company behind it!

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One customer even said:
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“@Auki is going to be the biggest thing in retail since the adoption of barcodes”

That’s the power of Spatial AI and machine perception!

Dial in ✍️

[NEXS @neXs_ai]

▪️ $AUKI ▪️

@CactusXR UX upgrade 🚨

Product mapping can now be done through smartphone cameras…

No more manually inputting barcodes one by one with a separate scanner

→ Less labour
→ 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 ease…

That’s exactly how pilots turn into long-term deployments

[NEXS @neXs_ai]

▪️ $DMTR ▪️

1.3M+ farms…

Across 19 unions in Kenya

All have joined @dimitratech platform

Together they’ve formed the #1 coffee digitization initiatives on the continent!

Expansion isn’t slowing:

320K farmers within Tanzania will now have that same opportunity

What they get with Dimitra?

→ Improved crop yields
→ Premium market access
→ New financing options

———————————————
See how easy good tech deploys
———————————————

[NEXS @neXs_ai]

▪️ $DMTR ▪️

Top #5 again

A few forecasts for Dimitra ↓

Carbon initiatives launching with an est $50–90M ARR potential (per nation)

Indonesia projects could represent a $100M+ annual revenue opportunity

Millions of confirmed contracts will be
activated year end with EUDR measures

+ much much more

———————————————
Then we add in the tokenomics:
———————————————

50% of platforms revenue is allocated to $DMTR token buybacks…

I’ll let you do the math 🤫

[NEXS @neXs_ai]

▪️ $DMTR ▪️

Just doubled my bag!

The word ‘undervalued’ gets thrown around far too easily in Web3…

@dimitratech is one of those rare projects that truly deserves that title

They’ve been quietly optimising the agriculture infra that feeds the world

No pilots. No demos.

This is live and scaling fast…

——————————————————
Dimitra’s National-scale deployments:
——————————————————
🇺🇬 Uganda (coffee traceability project)
🇮🇩 Indonesia (sovereign foundation)
——————————————————

Whilst regional projects span 35+ countries, from Mexico to Kenya

Full activtity has now reached 68+ countries with 7M+ contracted farmers!

So why are farmers flocking to Dimitra?

——————————————————
Using the latest agri-tech (blockchain,
AI, IoT & satellite imagery) they deliver:
——————————————————
🌾 Crop, soil & weather data analytics
🐮 Livestock biometrics
👨‍🌾 Harvest management tools
🗺️ Farm mapping & traceability
🌳 Deforestation-free certification
🪙 Carbon credits & ESG compliance
💵 RWA & tradtinal financing options
——————————————————

Farmers get better yields & market
access. Buyers get verifiable data

For investors $DMTR gets used
every time there tools are used…

To top it off, 50% of revenue generated
is used to purchase in $DMTR buyback!

——————————————————
Now look at a just a glimpse of Dimitra’s
forecast and try not to get excited ↓
——————————————————

New carbon initiatives launching with
$50-90M ARR est (per nation)

Projects in Indonesia alone could result
in $100M+ annual revenue

Millions of confirmed contracts will be
activated year end with EUDR measures

—————————————————

Proven mass deployment, real revenue
generation and all on a global scale

$DMTR is positioned for a dream run!

[NEXS @neXs_ai]

▪️ $OVR ▪️

Ship, Ship, Ship!

@OVRtheReality is sporting the largest decentralized 3D map of the world…

Now their indoor app-less VPS service is live in one of largest malls in Italy!

→ Open your phone
→ Scan a QR code
→ Get precise AR navigation

This is just the start…

European expansion is underway with
15+ malls in the pipeline across Italy

Real product. Real deployment.

—————————————————

I live near Westfield, the UK’s largest shopping centre:

Great shops. Great food.

Navigating it? Different story…

It feels like a damn maze at times

We need this here OVR team!

[Krypto Insider 💫 @KryptoInsider1]

I've been getting DMs from people who are completely done with crypto.

Most of them lost money on projects that never delivered, watched too many rugs, or just gave up after years of empty promises.

I get where they're coming from. Too many projects looked promising but never figured out how to generate real revenue or create value for token holders.

If you're at that point, my honest advice:

▪️ Only put in what you can afford to lose

▪️ Stop chasing hype. Look at revenue, active users, tokenomics and how the team treats its community

▪️ Spread your money across other things. Stocks, precious metals, whatever fits your situation

I'm not convinced this downtrend is over. If we go lower, I see it as a chance to accumulate the projects that have kept building no matter what.

My personal view is that DePIN is one of the few parts of crypto that will survive even if a big portion of the industry doesn't.

It's the only sector I see consistently building physical infrastructure, signing paying customers, and generating real recurring revenue.

That said, only a small number of DePINs are mature enough today to qualify. Most are still early-stage and a lot can go wrong.

Which DePIN projects do you think have the best chance to survive long term?

[Crypto Habibi @CryptoHabibi7]

$VELO & $DMTR sharing their space on the top posted Alts is always a pleasure to see my two favorite gems always getting the lime light in Crypto.

Market not so hot but I know these two will shine so bright when the explosion happens.
Locked in.

[Shero @sopranos_ak]

$DMTR keeps expanding its footprint in East Africa 👌

They’ve signed an MOU with Mbifacu Ltd, its first cooperative partner in Tanzania. 🇹🇿

The goal is straightforward:

Help build better traceability, stronger sustainability data, and greater access to fair markets for coffee farmers over time.

[Francesco τ༝τ @francescoX222]

AI agents are entering spaces I wouldn't have predicted a year ago.

Asset management was one of them. $DEXTF

It's a conservative environment (heavily regulate), where trust takes years to build.

Not exactly where you'd expect this to start.

And yet.

@Memento_Bc has spent years working with institutions.

That history shows up in how they execute.

They know the rules, the constraints, who to call..

I'm not sure most people building in this space have spent much time inside it.

In asset management, that gap is wider than most assume.

Closing it is slow work.

Probably the least visible part of what they're building.

[NEXS @neXs_ai]

▪️ $DMTR ▪️

PARTNERSHIP 🚨

These guys don’t stop…

@dimitratech teams up with MBIFACU, a leading coffee cooperative in Tanzania

MBIFACU’s vast network represents tens of thousands smallholder farmers!

Dimitra will provide its members with:

→ Farm mapping
→ Traceability infrastructure
→ Connected Coffee protocol

Why is this important?

The rules of global agriculture are changing with new regulations (EUDR)

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Coffee exporters now require:
—————————————————
✅ Geolocation data
✅ Deforestation verification
✅ Supply chain traceability
—————————————————

Without it, access to premium EU markets will be denied

Currently the European union is Tanzanias largest coffee buyer

Dimitra is now the bridge to that market!

This collaboration is just the start, the scale opportunity here is massive...

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Tanzania’s coffee industry alone:
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☕️ 320K farmers
☕️ 2.4M livelihoods
☕️ 5% of national export earnings
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Dimitra’s data network stays growing:

Active projects now span 36 countries

Whilst users have grown to 7M+

I don’t a see celling insight with this one

Product too strong here 💎

[NEXS @neXs_ai]

▪️ $DMTR ▪️

Everyone looking for that one project…

Meanwhile @dimitratech:

• $10.7M in revenue
• 16 GOV partnerships
• Working with the UN
• 7M+ contracted farms
• AAR revenue est, $90M (ARR)
• Adoption across 35+ nations
• 50% of revenue allocated to buybacks

[NEXS @neXs_ai]

▪️ $AUKI ▪️

Nothing to see here…

Just the Swedish Prime Minister getting a live demo of @CactusXR:

@Auki’s spatial AI copilot for retail

Oh, and it’s taking place inside an ICA store: Sweden’s leading grocery retailer

Levels to this ↓

[NEXS @neXs_ai]

▪️ $DMTR ▪️ $FET ▪️

These two aren’t going away…

→ Dimitra 🥇
→ Fetch AI 🥉

@Fetch_ai is building back momentum with its new Agent Launch platform

Whilst @dimitratech continues to solidify itself as the top web3 AgriTech project

[NEXS @neXs_ai]

▪️ $AUKI ▪️ $DMTR ▪️ $PEAQ ▪️

Low MC → +1B MC

You don’t need a crystal ball here…

Bet on deployment & demand

Projects solving real problems inside growing trillion-dollar industries

Sooner or later, retail always catches up with real credentials & traction

My top pics:

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@Auki | Spatial intelligence for robotics,
retail, logistics & physical AI systems

→ 6.5K+ retail deployments
→ 10+ leading robotic partners

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$PEAQ | Powering machine ownership,
DePIN and Machine Economy infra

→ 60+ apps using the stack
→ 6M+ connected machines & devices

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@dimitratech | Optmizing agricultural
data with Agri-Tech infra solutions

→ 7M+ contracted farms
→ Active projects in 68+ countries

—————————————————

[NEXS @neXs_ai]

▪️ $DMTR ▪️

BIG UPDATE 🚨

Last year @dimitratech secured a massive partnership with @surveyor_id:

Indonesia's state-owned agency which provides commodity exports verification

So whats the goal here?

Together they will help local farmers meet new EU sustainability standards

(Also know as EUDR)

Without EUDR compliance, EU market access will be denied for these farmers

Indonesia has a lot at stake here:

~30% of there commodity exports go to Europe

The scale:

→ 3M Farmers
→ 3M Exporters
→ 3M Hectares of land

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Market Opportunity for Dimitra ↓
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🔹 $30 licensing fee × 3M farmers
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🔹 $10 EUDR fee × 3M exporters
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🔹 $100 carbon credits × 3M hectares
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🔹 RWA integrations = limitless upside
——————————————————

Indonesia alone could result in
$100M+ annual revenue potential

Now things are pushing forward…

@dimitratech and @surveyor_id (PTSI) have launched ID Connect:

A new traceability + compliance platform for Indonesian commodity exports

The Challenge:

❌ Fragmented supply chains
❌ Manual compliance
❌ Rising due diligence demands

ID Connect delivers:

✅ Farm registration
✅ Geolocation capture
✅ DDS workflows
✅Traceability + supply chain records

All Powered by Dimitra’s AI + blockchain traceability infra & PTSI verification!

This is not one to fade!

[NEXS @neXs_ai]

▪️ $DMTR ▪️

@dimitratech has been listed as a top Satellite Data Analytics Provider for:

AI-Powered Forest & Agriculture Imaging Analytics Market Analysis

They now sit alongside:

→ @IBM
→ @Google
→ @Microsoft

This comes from Leading multi-industry market research firm GIS

[NEXS @neXs_ai]

▪️ $AUKI ▪️ $DMTR ▪️

Well said @KryptoInsider1

❌ Hype
❌ Hot narratives
❌ Shiny new concepts

The market has changed, we need:

✅ Real communities
✅ Real enterprise clients
✅ Real recurring revenue
✅ Real burn/buyback mechanisms

Exactly why I back @Auki & @dimitratech

[NEXS @neXs_ai]

▪️ $AUKI ▪️

A new staple in robotics 🚨

Robot manuals via smart glasses are becoming a powerful new pairing:

• From guided machine setup
• To assisted robot maintenance

Essentially it can turn any human worker into an elite robot technician…

All whilst accelerating robot deployment!

Three projects are working together to optmize this workflow in a big way:

[ 👓 ] @MentraGlass → hardware layer
[ 🧠 ] @oneshot_ar → AI workflow layer
[ 📍 ] @Auki → spatial intelligence layer

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Here’s the breakdown:
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1️⃣ Mentra | Smart Glasses

Mentra produce their own smart glasses & interoperable operating system…

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Mentra glass features:
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👓 Open-source OS
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👓 Camera vision
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👓 Display / AR overlays
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👓 Audio + voice interaction
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👓 Hands-free operation
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✅ Weight: 43g
✅ Battery life: 12+ hrs
✅ OS compatible with other brands

Lightweight, long battery, open-source:

This is the ultimate front-end interface for humans workers

In comparison:

@ray_ban meta weighs 55g with just 4-8 hrs battery life & is closed source

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2️⃣ OneShot | AI co-pilot

This is the AI assistant layer workers can use with Mentra’s smart glasses

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Openshot’s AI co-pilot provides:
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🧠 AI workflow assistant
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🧠 Task guidance system
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🧠 Instruction engine
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❌ Ditch the 50-page paper manual

Now humans workers get:

→ Step-by-step assembly
→ Interactive voice guidance
→ Instant AI troubleshooting
→ Contextual work assistance

For example when repairing or setting up a robot openshot will tell you when:

✅ “Connect this cable”
✅ “Inspect this component”
✅ “Move to the next station”

But here’s the limitation:

AI alone still doesn’t fully know where objects or understand physical spaces

That’s where @Auki comes in…

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3️⃣ Auki | Spatial Computing

This is the missing perception layer that ships baked into the Mentra glasses!

—————————————————
AUKI’s infrastructure provides:
—————————————————
📍 Real time spatial positioning
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📍 Shared 3D mapping
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📍 Object/location awareness
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📍 Persistent spatial memory
—————————————————

Now Instead of the open shots AI-copilot giving generic instructions:

❌ “Look for component 3”

It becomes:

✅ “component 3 is 2m to your left”

✅ “This exact button needs adjusting”

So now instructions are no longer just floating information…

They’re anchored to the relevant environment and objects

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Together, this tech stack decreased robot setup by 50%!

I can see this becoming the gold standard across the industry…

But this is just one use-case!

Spatial AI manuals unlock endless real-world applications beyond robots