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Axtora Labs
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Axtora Labs
@axtoralabs
Context-Aware Voice AI | The first V2V AI system with Hongkong Patent. Coming soon on @virtuals_io Built in 🇭🇰
Hong Kong Katılım Nisan 2026
16 Takip Edilen26 Takipçiler

This isn't a voice wrapper.
It's the infrastructure layer that makes voice AI actually deployable — in the environments where it matters most.
axtoralabs.com
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Who it's for:
1. Brands — Toy & EdTech
Drop-in voice intelligence for educational toys, language tutors, and learning companions. The context database is parent-controlled.Voice personas are cloned and locked to your character IP.
2. Enterprise Agents
Voice agents grounded entirely in your company's knowledge base. Compliance-ready. Multi-language. Brand-safe before the model speaks a single word.
3. Axtora API — Built for Developers
Clean SDK. Low-latency endpoints. Transparent pricing. You license the patented features per deployment

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Most voice AI will say anything to anyone.
Axtora's technology - a voice -to- voice pipeline won't let a single word out unless it's grounded, safe, and bound by your rules — before the LLM even generates a response.
⟶ Low latency — real-time, no awkward gaps
⟶ Multi-language STT + TTS
⟶ Context databases stay under your control
⟶ Voice persona, knowledge base, policy — configurable per deployment
It's what makes the system safe for children and brand-safe for enterprise without per-deployment prompt engineering.

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The character economy starts now.
$ZOE is live on @base
in partnership with @clanker_world.
CA: 0xC29832025E7652ef58D15F7fA3e232A2fDfaaB07
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@AskVenice Banger guideline @AskVenice
Pair it with our Voice AI- Consistent character voices + real-time emotional adaptation.
Visuals + voice = next-level series 🔥
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@celesteanglm @opengotchi is iconic already. Happy to be the emotional voice behind him 🤩
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Back in SF to grab my lil gotchi 😍 excited to hack with this guy!
P.S. been off the grid a bit for vacation and to focus on building. more on this soon!

Opengotchi@opengotchi
The cute lil gotchis have shipped to San Francisco, Bangalore, Kuala Lumpur, Singapore and Japan. Very excited to see people building cool stuff on the cool gotchis. Comment below if you want hands on one.
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@Nibel_eth Appreciate the shoutout to Asian builders - proud to be one of them.
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I'm going to say what I've been thinking for a long time.
Overall it feels like Asia builders in general don't get as much love, trust, and attention in the startup space, because a lot of investment activity happens in the west. Having spoken to many projects, Asian founders have told me that they sometimes feel discounted. That's why this @virtuals_io listing on @coinbase really tugs at the heartstrings. After trying for so long, really happy for their homecoming.
Many people don't know, but Malaysia is really a place where greatness is made. Many successful projects - etherscan, coingecko, pendle, jupiter, meteora, all have roots back to Malaysia. And so does @virtuals_io which calls Malaysia home.
Build in Malaysia, raise in Singapore, scale in Indonesia, Philippines, Vietnam, Korea, Japan.
I want Asian founders to succeed. We need more focus in Asia. Promising builders - come to the @base builder loft at @ns. We want you to win.
Virtuals Protocol@virtuals_io
We’re finally home
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Axtora Labs retweetledi

Axtora Labs retweetledi

Every voice AI right now treats a 6-year-old and a surgeon the same.
Same response. Same tone. Same risk.
@axtoralabs is building the missing layer: a contextual agent that identifies who it's serving before it says a word. One API, any hardware.
The infra play nobody in CT is talking about yet.
Axtora Labs@axtoralabs
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One pipeline. Infinite agents.
See you in the next article, where I’ll explain why we chose @virtuals_io.
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🎓 Education: A kid asks about black holes. The tablet answers in a teacher’s tone—curriculum-aligned, parent-approved. No drift. No hallucinations.
🧸 Smart Toys: The action figure remembers her name. The doll tells stories in a voice trained on the brand’s IP. Not a chatbot in plastic—a character.
🤖 Companion Robotics: Elderly care that listens. Remembers. Responds with warmth. Therapy bots that hold context across weeks. Home assistants that actually feel like company.
🏥 Healthcare: Medication reminders that sound human. Patient education in 30+ languages. Mental health support that never breaks role.
🏢 Enterprise: Customer service trained on your knowledge base. Sales agents who never forget a spec. Internal AI that speaks your company’s language—literally.
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@0xAybars @virtuals_io We have something in the oven that’s more giga that buyback and burns. Few more weeks
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What I’m seeing in crypto lately, the tokens getting real attention are the ones actually making revenue and having some kind of deflation built in.
On the $VIRTUAL side, the fee is 1% in total. 0.7% goes to project teams and 0.3% goes to refs and @virtuals_io team.
Feels like there’s a simple way to make this better for everyone. Instead of giving the full 0.7% to teams, maybe 0.5% goes to them and 0.2% gets burned.
And from the 0.3% side, burning half of it directly as $VIRTUAL could also make sense.
If we get the kind of volume everyone expects in a real bull run, this could make $VIRTUAL way more deflationary over time.
@ethermage @everythingempty what’s your long term thinking on this?
virtualflow.fun

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a deeply special moment for me personally; base is home and we love everything bout the ecosystem and how jesse and the coinbase team always support what we do
get me more excited about how together we will shape the future of an ai agent society onchain
now back to building, love base!
Virtuals Protocol@virtuals_io
coming home soon
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@RoundtableSpace Building AxtoraLabs.com — AI voice-to-voice has huge potential to make agents and robots capable of genuinely safe, contextually relevant conversations by integrating curated knowledge bases with advanced LLMs and voice synthesis.
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@AIonBase_ @MorganStanley The real opportunity isn’t just physical AI — it’s autonomous systems that can execute commercially.
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Robotics Ecosystem Map
Physical AI is moving faster than any previous tech cycle and will soon become the largest asset class in the world.
@morganstanley projects 1 billion humanoid robots in service by 2050. The manufacturing cost is dropping 40% every single year.
Robotics x crypto is the biggest trade of 2026. Onchain capital opens up funding to early teams and breaks the VC gatekeeping.
The most elite robotics teams are building the new economy on base ↓
Physical AI & Humanoids
70% of the global economy is physical labor. Humanoid hardware plus onchain coordination automates the real world.
@virtuals_io is the major player here with Eastworlds - the leading embodied AI accelerator, operating a fleet of 30+ Unitree humanoids for commercial pilots.
Every real-world deployment generates the data needed to train Vision-Language-Action (VLA) and World Action Models (WAM).
The entire category is part of the @virtuals_io robotics track and Eastworlds launchpad:
- @OrionX_Robotics Autonomous defense humanoids earning USDC for missions
- @openmind_agi OM1 modular AI runtime for multimodal perception and cross-robot coordination
- @StrikeRobot_ai Physical AI for high-risk industrial environments
- @shadowcleague Tele-operated humanoid combat league on @virtuals_io
- @SHOW_ROBOTICS Personality-driven embodied AI with dual Blackwell GPUs
- @SamIsMoving Autonomous agents teleporting between robot bodies
- @the_small_thing Marine robots collecting microplastics in real-world pilots
Data & Training
Physical AI is hitting a massive data bottleneck. Humanoid scaling requires millions of high-fidelity video hours.
Decentralized networks solve this by turning real-world tasks into a global earn model:
- @vader_ai_ Earn $VADER rewards via EgoPlay for recording real-world video tasks
- @reppo Verify datasets through prediction markets - 121m+ votes and 10 active datanets live
- @BuildOnSapien Verifiable data quality protocol with 1m+ contributors across 110 countries
- @PrismaXai Browser-based teleoperation and training data infrastructure led by a16z csx
- @axisrobotics Browser-native task augmentation with 200k+ verified trajectories
Infra & Perception
Robots need to see and understand their surroundings. Decentralized perception networks provide the high-fidelity rails for real-world autonomy.
- @Auki Decentralized machine-perception network with 541 relay servers live
- @LayerDrone Autonomous drone imagery network with USDC rewards live on base
- @Roba_Labs The "Hugging Face" for robotics - a no-code hub to build, test, and deploy robot skills
- @InvLambda Open-source stacks for physical AI through federated world models and skill layers
- @opengotchi Open-source hardware and API for autonomous virtual pets
Robotics Capital Market
Robotics investing is usually gated by VCs for years. Onchain coordination provides the first way for everyone to own the upside of the biggest private robotics teams.
@xmaquina is building the RCM platform, giving base users direct exposure to a $36M+ treasury of humanoid giants. 103% ROI on Apptronik. 2x paper markup on 1X Technologies. Secured exposure to Figure AI during its BMW deployment and $39.5b valuation.
The $100T convergence of Physical AI and Capital is scaling on base.
robotics/acc

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