The Pharos Agent Center gives AI agents a structured way to perform onchain actions and outstanding Skill Builder Campaign submissions can earn $500 each.
Some of the most exciting AI agent skills are still waiting to be created. The community can build useful tools like DeFi position analyzers and DAO voting assistants.
AI agents can also help users track assets across multiple wallets in one place. RealFi product interaction tools are another great area for builders to explore. Contract debugging helpers can make it easier to find and fix smart contract issues.
Portfolio intelligence tools can help users understand and manage their investments better. On-chain onboarding flows can make blockchain easier for new users to use.
👉🏻 https://t.co/bhVYHjtPSn
#Buildononpharos @pharos_network
Some of the most interesting AI-agent Skills probably haven’t been built yet
Examples we’d love to see from the community:
→ DeFi position analyzers
→ DAO voting interactions
→ Multi-wallet asset aggregation
→ RealFi product interactions
→ Contract debugging helpers
→ Portfolio intelligence
→ Onchain onboarding flows
Pharos Agent Center gives AI agents structured ways to execute onchain actions
Join Skill Builder Campaign 🔥🔥
Exceptional submissions receive 500 USD each 🎁🎁
👉🏻 https://t.co/r7tz3jhlb9
A Global Expansion Strategy is a company’s plan to grow beyond its home country and operate in different parts of the world.
For @axisrobotics, global expansion means bringing its robotics technology, infrastructure and AI-powered solutions to different regions where robots can solve real-world problems.
Instead of building robots for just one market. Axis aims to create systems that can work in many environments, industries and cultures around the world.
Why is Axis Robotics Expanding into AFRICA, EUROPE & ASIA.
Africa is one of the fastest-growing regions in the world, with increasing demand for automation in agriculture, logistics, manufacturing and infrastructure.
For Axis Robotics, Africa offers 👇🏽& beyond.
✅ Diverse real-world environments for robot training and testing.
✅ Opportunities to improve productivity in industries that still rely heavily on manual labor.
✅ Access to a young and growing tech-savvy population interested in robotics and AI.
✅ A chance to build solutions that address local challenges, making robots more adaptable globally.
Europe is home to many advanced industries and some of the world’s leading robotics and AI research communities.
Axis Robotics is expanding into Europe because 👇🏽& beyond.
✅ Many companies are already looking for automation solutions.
✅ Europe has strong engineering talent and research institutions.
✅ Industrial sectors such as manufacturing, warehousing and logistics can benefit from advanced robotics.
✅ Working in Europe’s highly regulated environment helps Axis build safer and more reliable robotic systems.
Asia is one of the largest robotics markets in the world and a major hub for technology innovation.
Axis Robotics expands into Asia because 👇🏽 & beyond.
✅ Many countries are already adopting robots at a large scale.
✅ There are massive manufacturing and supply chain industries.
✅ Access to robotics talent, hardware suppliers and technology partners.
✅ More real-world data from different industries helps train smarter AI-powered robots.
The vision of Axis Robotics is not to build robots that only work in one city or country. The goal is to create robots that can operate anywhere in the world.
By expanding into Africa, Europe and Asia, @axisrobotics gains access to different environments, industries, languages, regulations and user needs.
This helps the company collect more diverse data, improve AI models and build robots that are smarter, safer and more useful in real-world situations.
This is a great opportunity for enthusiasts to connect, share ideas and explore what’s next for the industry.
@pharos_network is heading to Vault Summit NYC and will are excited to meet founders, investors, asset managers and blockchain builders who are shaping the future of on-chain finance. 💙
See you in New York! 🇺🇸
📍 Vault Summit NYC ▪️ June 5▪️
Pharos will be heading to Vault Summit NYC 🗽 @Vault__Summit
Excited to join founders, asset managers, allocators, and infrastructure leaders shaping the next generation of onchain asset management 💙
See you in New York! 🇺🇸
📍 Vault Summit NYC, June 5
🌍 Hosted at the NYSE
👉 https://t.co/vvONEizSlR
What is Data Verification in Axis Robotics?
Think of data verification like a quality check before a robot learns something new.
At @axisrobotics, robots learn from huge amounts of data collected from simulations and real-world tasks. But not all data is useful. Sometimes data can be wrong, incomplete, duplicated or contain mistakes.
Data verification is the process of checking and confirming that every piece of data is accurate, reliable and useful before it is added to the training pipeline.
Without data verification, robots could learn bad habits, make wrong decisions or even fail when performing real-world tasks.
▪️i.e▪️
➡️ Bad data = Bad robot behavior
➡️ Good data = Smarter and more reliable robots
How Axis Robotics Handles Data Verification 🔻
Axis Robotics uses multiple layers of verification to make sure only high-quality data is used for training.
🔸Automatic Data Checks
Before data enters the system, Axis automatically scans it for errors.
The system checks for👇🏽
✅ Missing information
✅ Corrupted files
✅ Duplicate data
✅ Incorrect task recordings
This helps remove obvious mistakes before training begins.
🔸Cross-Checking Task Results
@axisrobotics compares task outcomes with expected results.
For example:
If a robot is trained to pick up a cup but the data shows the cup was dropped, the system can flag that data for review.
This helps ensure robots learn successful actions instead of failed ones.
🔸Simulation Validation
Axis generates massive amounts of data in simulation environments.
Before using this data, the platform verifies that the simulation behaves realistically.
The goal is to make sure virtual experiences closely match real-world conditions.
This reduces the gap between simulation and reality.
🔸Consistency Testing
Axis checks whether the same task produces similar results across multiple runs.
If one dataset shows very different behavior from others, it may indicate an error.
Consistency testing helps identify unreliable data before it reaches the training stage.
🔸Continuous Feedback Loop
Data verification doesn’t stop after collection.
As robots perform tasks, Axis continuously gathers feedback and checks whether the robot’s actions match expected outcomes.
This allows the platform to spot issues early and improve future datasets.
Without proper verification:
❌ Robots may learn incorrect actions
❌ Models become less reliable
❌ Real-world performance suffers
With strong verification:
✅ Better robot performance
✅ More reliable AI models
✅ Faster development cycles
✅ Safer real-world deployment
Summary!
Axis Robotics understands that powerful robotics starts with trustworthy data.
Data verification acts like a safety inspector, checking every dataset before it teaches a robot something new.
The result is simple: Better Data → Better Learning → Better Robots
#AI #Robotics #AxisRobotics
Major Key Points from the @pharos_network May Updates!
🔸 Pharos is growing very fast. The network reached 1 million transactions in a single day, showing that more people are actively using the blockchain.
🔸AI agents can now use the blockchain. The new Agent Center and Skill Engine allow AI tools to check balances, send transactions, deploy contracts and perform other blockchain tasks using simple language.
🔸The community became much bigger and more active. Over 1,400 new members joined and many programs were launched for developers, creators and ecosystem contributors.
🔸The ecosystem expanded with new products and partnerships. New yield vaults, decentralized identity services, trading platforms and major partnerships were introduced to bring more real-world financial use cases to Pharos.
🔸Pharos gained global attention. The team hosted and attended events in cities like New York City, Madrid, Ho Chi Minh City and Seoul, while preparing even bigger AI and Real-World Asset (RWA) developments for June.