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Falcon Finance, the first universal collateralization infrastructure powering onchain liquidity and yield, has announced a partnership with Backed to integrate xStocks into Falcon’s collateral framework. This marks the first real-world equity integration that turns tokenized stocks into productive, yield-bearing assets within DeFi.
The introduction of Backed’s compliant tokenized equities allows Falcon Finance users to mint USDf using xStocks. Assets supported by Falcon as part of the Backed integration include TSLAx, NVDAx, MSTRx, CRCLx, and SPYx.
Unlike synthetic instruments or Contracts for Difference (CFDs), xStocks are fully backed by the corresponding underlying equities held with regulated custodians. They provide direct economic exposure to the real stocks while remaining freely transferable as ERC-20 tokens on Ethereum and SPL tokens on Solana.
The collaboration with Backed expands the range of collateral assets supported by Falcon. As a result, users can mint USDf, Falcon’s overcollateralized synthetic dollar, using popular tokenized equities. This provision allows DeFi users to borrow against xStocks without the need to utilize crypto collateral.
Falcon users who elect to utilize real-world assets can combine their low volatility with DeFi’s liquidity and composability. xStocks trade freely, while Chainlink oracles track the price of the underlying assets and corporate actions, ensuring transparent and accurate valuation across all market conditions.
Andrei Grachev, Founding Partner at Falcon Finance, said: “This partnership extends DeFi’s reach into the traditional financial economy. With xStocks, users can keep exposure to companies like Tesla or Nvidia while unlocking stable, yield-bearing liquidity. It’s a major step toward bridging traditional and onchain finance and strengthens Falcon’s position as a universal collateralization platform.”
David Henderson, Head of Growth at Backed Finance, added: “With xStocks, we’re not just bringing traditional finance onto blockchain rails, we’re building something new. The integration with Falcon Finance shows what’s possible when you build for accessibility and composability, with tokenized equities evolving beyond stores of value into building blocks for the new economy.”
The partnership represents a breakthrough in connecting regulated financial instruments with open DeFi infrastructure, building a compliant bridge between Wall Street and decentralized finance.
Falcon Finance’s synthetic dollar, USDf, has grown to over $2.1 billion in supply, backed by more than $2.25 billion in reserves as of the latest attestation cycle. Reserves are verified weekly by HT Digital and undergo quarterly ISAE 3000 assurance audits for full transparency.
Tokenized real-world assets are one of the fastest-growing onchain verticals, but the majority of their $12 billion in value remains passive. Falcon and Backed’s collaboration represents a milestone that transforms tokenized equities into productive collateral, bridging compliant TradFi products with DeFi’s open liquidity and transparency.

#FalconFinance @Falcon Finance $FF

When people talk about BlackRock, they usually mean stability, patience, and trust built over many years. It did not become powerful by chasing trends. It focused on building systems that big investors could depend on. In the crypto world, very few projects think this far ahead. Lorenzo Protocol feels like one of those few that is trying to do something deeper and more lasting.
Most crypto platforms today are designed for fast results. High yields appear, disappear, and are quickly replaced by new stories. Many users jump in and out without a long plan. Lorenzo Protocol seems to be looking at the space differently. Instead of asking how to attract attention today, it asks how capital should be managed over time in a decentralized system. That mindset alone separates it from many DeFi projects.
If we imagine the next five years, the market itself will likely change a lot. Crypto will not only be about traders. More long-term capital will enter the space. DAOs, funds, institutions, and even traditional companies will want steady and transparent ways to manage assets on-chain. They will look for systems that are predictable and designed with risk in mind. This is where Lorenzo Protocol could slowly build its place.
The comparison with BlackRock is not really about size. It is about approach. BlackRock became important by helping others manage capital in a structured way. Lorenzo Protocol appears to be moving in a similar direction by focusing on smart yield design, efficient use of capital, and flexible strategies instead of chasing short-lived farming trends. Over time, this kind of design often attracts serious and patient investors.
Trust also plays a major role. In traditional finance, trust grows through years of consistent performance. In crypto, trust comes from strong code, regular audits, and how a protocol behaves during market stress. If Lorenzo Protocol continues to operate smoothly in both good and bad market conditions, it can earn a reputation that marketing alone can never create. Five years is enough time for that trust to develop naturally.
The wider crypto ecosystem is also evolving. Real-world assets, on-chain investment products, and more regulated structures are slowly becoming part of Web3. As this trend grows, the need for responsible on-chain capital management will increase. A protocol that prepares early for this shift could become essential infrastructure instead of just another DeFi application.
There is no guarantee that Lorenzo Protocol will become the “BlackRock of crypto.” That path requires discipline, careful risk control, and the ability to grow without losing focus. But the direction matters more than the title. Lorenzo Protocol does not need to copy traditional finance. It only needs to adapt its strongest ideas to a decentralized and open system.
In five years, the most successful crypto projects may not be the ones making the most noise. They will likely be the ones that helped capital grow quietly and safely. If Lorenzo Protocol stays committed to long-term thinking and thoughtful design, it may not just follow the future of crypto finance. It could help shape it.

#lorenzoprotocol #LorenzoProtocol @Lorenzo Protocol $BANK

Kite AI and Masa are excited to announce a strategic product partnership. Masa serves as the open data store for public web data, enabling developers to scrape and stream high-quality, structured datasets for thousands of AI applications. By integrating into Kite AI’s platform, Masa can seamlessly enable access to datasets and scraping to power agents for autonomous data collection and utilization. This unlocks new opportunities for AI model developers to tap into high-value, real-time public data from social platforms, websites, and beyond — directly through Kite AI’s agent-native infrastructure.
“Public data is one of the most underutilized resources in AI development,” said Chi Zhang, Co-founder and CEO of Kite AI. “By integrating Masa’s public data API and tools into Kite AI’s infrastructure, we’re empowering AI agents to autonomously source, process, and act on information at internet scale. This partnership advances our mission of building an Open AI Economy — where data, compute, and intelligence are accessible, verifiable, and economically aligned.”
Why Masa is Building on Kite AI
Through Kite AI’s platform, AI builders can discover and pay to access Masa’s datasets for AI agents focused on market analysis, sentiment tracking, lead generation, content creation, and more. Kite AI’s programmable smart contract layer provides governance, identity, and spending rules for data assets, ensuring safe and transparent agent-data interactions.
Masa already demonstrates how supply and demand connect in the AI economy. Masa provides valuable supply side resources through 400M+ data records, as well as real-time data scraping services, from web to social data. On the demand side, you might have a Market, News, and Trading AI agent that utilizes this social media data to analyze and execute transactions based on trending topics. Through Kite AI, the two connect seamlessly, agents query data in a permissioned, trustless way, paying for these valuable assets and receiving cryptographic assurances of integrity. Providers get automatic payments and retain governance rights, enforced by Kite AI’s coordination logic.
Masa’s Open Data Store offers scraping APIs and one-click tools for platforms like X, TikTok, and the open web — soon expanding to Reddit and LinkedIn. With over 100s of billions of rows of AI-ready data, 150,000+ dataset downloads on Hugging Face, and 1000s of developers, Masa has proven traction in delivering high-quality, structured public data at scale.
By Integrating on Kite AI, Masa Offers
Massive Public Data Access: AI agents gain access to real-time and archived data streams s from social and web platforms via Masa.Platform Integration: Masa’s datasets, scraping tools, and API become discoverable and purchasable in Kite AI’s platform, opening monetization opportunities for data contributors.Programmable Governance & Access: Kite AI’s smart contracts enable granular rules for data usage, attribution, and compliance.Unified Agent Identity: Every AI agent accessing Masa data is verifiably identified, with encoded credentials, permissions, and purpose.Protocol-Native Payments: Through Kite AI’s protocol-to-protocol payment rails, agents pay directly for Masa data — no intermediaries required.Ecosystem Alignment: Both Masa and Kite AI share a vision of an open, fair-value data economy, aligning incentives for data providers, developers, and AI builders.
How it Works

Why This Matters
Today’s AI models are only as good as the data they are trained on. The biggest challenge facing agent adoption today is no longer prompt engineering, but context engineering, and context requires data. By making public data programmable and agent-accessible, Masa and Kite AI are enabling a new class of AI agents that:
Monitor and respond to real-world trends in real time.Enrich models with domain-specific, up-to-date datasets.Automate workflows that rely on live data from social, e-commerce, and public records.
“Kite AI’s infrastructure is the missing piece in enabling highly-utility autonomous agents. To build an autonomous agent network, you need trust at every level of the AI stack. Masa is thrilled to be providing the high-quality and verifiable data needed to power Kite AI’s agent trust network. Together, agents can make accurate decisions, transactions, and actions critical to power the agent economy” — Masa Co-Founder, Brendan Playford
This is just the beginning. Masa and Kite AI are exploring deeper integrations.
About Kite AI
Kite AI is building the base layer for the agentic internet: an open, decentralized infrastructure where autonomous agents can operate with interoperability and verifiability. By leveraging a network design that incentivizes both the provision and consumption of agentic services, Kite AI provides unified identity, payment, and governance rails that allow agents to authenticate, transact, and coordinate securely without intermediaries.
If you are interested in becoming a Module on Kite AI, please fill out this form.
About Masa
Masa is building the leading open data store. With Masa, AI builders and creators can scrape data from anywhere and get real-time data and datasets on-demand. Ready for any LLM or AI agent. Build anything with the world’s data. Join our mission to create Fair AI, powered by the people.
#KITE #KİTE @KITE AI $KITE

When you first look at Lorenzo Protocol, it doesn’t feel like another heavy DeFi setup. It feels like something born from a relatable problem. Most of us hold tokens and wait. We wait for the market to recover, wait for a new cycle, wait for something to happen. And during all that waiting, our money barely moves. A few people trade every day, but not everyone has the time, nerves, or interest to live inside charts. Lorenzo seems built for the rest of us — the people who want their assets to work without needing constant attention.
Lorenzo is an on-chain asset management layer. The words sound technical, but the idea behind them is very human. It takes advanced strategies that are normally handled by professionals and turns them into simple tokens anyone can hold. These tokens are called On-Chain Traded Funds (OTFs). Instead of tracking every tiny market twist, you just hold a strategy in your wallet and let it run quietly in the background.
The power of Lorenzo is not just in its code. It’s in the mindset. Traditional finance has always relied on structure — clear rules, clear math, clear outcomes. Crypto, however, often leans into speed, hype, and chaos. Lorenzo tries to bring back structure without limiting freedom. There is no bank, no paperwork, no account manager. You interact directly with the protocol, receive a token, and instantly gain exposure to a real strategy.
This matters because DeFi today can feel overwhelming. There are endless pools, farms, and incentives fighting for your attention. Most users freeze because it’s simply too much. Lorenzo tries to simplify the experience:

You don’t need to chase everything. You just need access to well-built products.
Behind the scenes, the system runs through vaults. Think of vaults as containers that hold user funds and connect them to different strategies. Some vaults are straightforward — one strategy with one purpose. Others combine multiple strategies into something more balanced. It’s the same way professional asset managers work, but now it’s happening on-chain.
One thing I respect about Lorenzo is its honesty. Not everything happens directly on the blockchain. Some strategies require speed and tools that exist off-chain. Instead of pretending otherwise, Lorenzo openly integrates approved managers or systems for execution. What stays on-chain is ownership, accounting, transparency, and settlement — the parts that matter most for user trust.
At the center of everything is NAV — net asset value. It’s the standard that determines what each product is worth. When you deposit, you receive tokens based on the current NAV. When you redeem, NAV decides what you get back. It’s simple, familiar, and keeps everything grounded. Without this discipline, tokenized strategies quickly lose meaning.
One of Lorenzo’s early products makes this easier to see. You deposit stable assets and receive a yield-bearing token. That token doesn’t jump around every second. It slowly grows in value as the strategy earns. When you want to exit, you redeem it and receive your initial deposit plus yield. No rushing. No emotional trading. Just steady value.
Then there’s BANK, the protocol token. BANK isn’t designed for hype — it’s designed for participation. When you lock BANK, you receive veBANK, which gives you governance power and access to incentives. The longer you commit, the stronger your influence becomes. It encourages patience, alignment, and long-term thinking — something our industry could definitely use more of.
With BANK and veBANK, the community helps shape the protocol’s direction, incentive structure, and product support. Lorenzo doesn’t grow because one team pushes it. It grows because everyone involved has a stake in its evolution.
The broader vision goes beyond a single platform. Lorenzo aims to be infrastructure — a base layer that other apps and protocols can plug into. Instead of expecting every user to understand every strategy, Lorenzo quietly powers products behind the scenes. That’s how real adoption happens.
Of course, nothing is perfect. Lorenzo faces real challenges:

• Off-chain execution requires trust and strong controls

• NAV must remain accurate

• Liquidity must scale

• Governance must stay healthy and decentralized
But stepping back, Lorenzo doesn’t feel like a short-term trend. It feels like a system built for longevity. A place where strategy, discipline, and patience matter again. It doesn’t promise miracles — it simply lets your assets work without demanding your entire day.
And for most people, that’s exactly what’s missing in DeFi.
#lorenzoprotocol  #LorenzoProtocol @Lorenzo Protocol $BANK

At Kite, we’ve started noticing a familiar shift. It feels a lot like the early mobile era—when the right infrastructure finally appeared, and developers unlocked an entirely new digital economy. Today, AI agents are standing at that same turning point. The models are powerful, but they’re stuck. It’s like having a self-driving car with no roads to drive on. The intelligence exists, but the systems that let these agents coordinate, transact, and operate at scale are still being built.
Kite is working on that missing foundation. Our goal is to create the trust layer, the payment layer, and the coordination layer that AI agents need to become real economic participants. But transactions aren’t enough on their own. Agents also need a data system that can keep up with them—fast, flexible, and smart.
That’s why we’re excited to announce a new partnership with Irys. Together, we’re connecting Kite’s sovereign Layer-1 with Irys’s high-performance data layer. This gives AI agents a full stack: identity, governance, transactions, memory, and verified data — all working together in a way that’s open, interoperable, and built for scale.
Two Infrastructures Working as One
This collaboration brings together two systems that perfectly complement each other:
Kite Layer 1
Creates identity and trust for agentsHandles governancePowers economic settlement on-chainMakes agents interoperable across the open network
Irys Data Layer
Built specifically for AI workloadsSupports high-volume, permanent storageEnables programmable, verifiable dataAdds reliability and structure to agent memory
While Kite handles coordination and transactions, Irys ensures the information agents use is trustworthy, flexible, and capable of generating value.
Why AI Agents Need a New Foundation
AI has grown far beyond what traditional data infrastructure can support. Agents need:
A way to build and prove reputationWorkflows they can share or sellSystems for multi-agent collaborationA way to earn revenue from intelligence
Old data providers can’t support these functions. First-generation data chains weren’t designed for AI-scale workloads, and centralized systems can’t provide trust, verifiability, or economic alignment.
Creating the AI Creator Economy
Kite is building the coordination layer where developers can create once and scale globally. But for agents to reach their potential, they need more than an app store. They need memory, shared context, and a way to prove the quality of their output. They need data that can be trusted, reused, monetized, and accessed instantly.
This is where Irys becomes essential.

Irys adds the memory layer, the cryptographic proof system, and the reliability that allow agents to:
Build real reputationsSell or license their workflowsCoordinate with other agentsGenerate recurring revenue through their intelligence
Together, these systems lay the groundwork for a true agent economy.
The Power of Programmable Data
One of the most important features Irys brings is Programmable Data. This allows data itself to include rules and logic, enforced by smart contracts. When an agent completes a task, that data can automatically become:
Proof of reputationA reusable workflow templateA monetizable strategyA collaboration log shared with other agents
Instead of being a cost, data becomes a revenue source—exactly what the AI-driven economy needs.
What Both Teams Are Building Together
Kite and Irys are exploring several use cases that unlock the full potential of autonomous agents:
1. Agent Reputation
A verifiable record of an agent’s performance, updated automatically and recognized across platforms.
2. Workflow Marketplaces
Successful strategies become reusable products that other agents can license and execute.
3. Multi-Agent Coordination
Shared memory systems that help agents discover each other, collaborate, and settle payments without human input.
4. Creator Monetization
Automatic royalty payouts for developers every time their workflows or data get used.
To make this accessible from day one, Irys will be integrated directly into the Kite Agent App Store, giving builders an easy, plug-and-play way to access programmable, verifiable data.
Why It Matters for Builders and Enterprises
Both teams share a core belief:

Anyone who creates value should be able to earn value.
This means:
Developers can build once and earn continuouslyEnterprises gain auditability and transparency across AI-driven workflowsThe entire ecosystem benefits from unified rails for identity, payments, governance, and data
This creates a healthier, more sustainable network with strong network effects.
Building the Future Agent Economy
Kite is bringing on-chain trust and settlement to the agent world.

Irys is delivering the data backbone that lets agents scale safely and intelligently.
Together, we are building the foundation for the next era of AI — one where thousands of autonomous agents can move beyond experiments and begin interacting, transacting, and collaborating in the real world.
#KITE @KITE AI $KITE

Falcon Finance has taken another major step toward bringing crypto into everyday life. The project, known for building a universal collateral layer that powers onchain liquidity and yield, has teamed up with AEON, a fast-growing global payments network. Together, they’re making USDf and FF usable at more than 50 million merchants around the world.
Through the AEON Pay Telegram app, people can now spend Falcon’s synthetic dollar USDf and the protocol’s governance token FF for daily purchases — whether online or in physical stores. The system connects smoothly with popular wallets like Binance Wallet and others, making payments simple and familiar for most Web3 users.
This partnership marks one of the biggest real-world utility expansions in DeFi so far. By linking Falcon’s yield-backed stable liquidity with AEON’s massive merchant network, the two teams are creating a bridge between onchain assets and real-world commerce — something the industry has been aiming for over the past few years.
AEON Pay’s service is already active across Southeast Asia and has recently entered Nigeria, Brazil, Mexico, and Georgia. The company is now preparing to push deeper into high-growth regions across Africa and Latin America, where demand for alternative payment rails continues to rise.
AEON is recognized as an MVB Season 10 project on BNB Chain and is known for powering fast, QR-based and bank-transfer payments. Its infrastructure connects directly with top Web3 wallets and exchanges, making it one of the most scalable settlement layers in crypto payments today.
Andrei Grachev, Founding Partner at Falcon Finance, described the partnership in simple terms:

“Our goal has always been to make assets useful. USDf and FF were built for real onchain productivity, and now people can use them in their daily lives. This integration with AEON Pay brings that vision a lot closer.”
By connecting USDf and FF to real-world payments, Falcon Finance moves closer to its long-term mission: a global collateral system where assets are productive, yield-generating, and seamlessly interoperable across DeFi and traditional finance.

This collaboration shows how sustainable onchain liquidity can power real economic activity — and how crypto is slowly becoming part of everyday spending, not just trading.
#FalconFinance @Falcon Finance $FF

Sometimes a new idea in crypto doesn’t arrive with noise. It arrives like a quiet shift in the air — something you notice before you fully understand. That’s how Lorenzo Protocol feels. Not rushed. Not aggressive. More like a calm reminder that money doesn’t always need to move fast… sometimes it needs to move with intention.
At first glance, Lorenzo borrows what we already know: funds, strategies, portfolios. Concepts that have shaped traditional finance for decades. But here, they don’t sit behind closed doors or in the hands of a few. Lorenzo brings them on-chain, opens them up, and lets everyone see how they work. It doesn’t throw away the old system — it gently translates it for a new world.
When you look closer, the architecture starts to make sense. Lorenzo introduces On-Chain Traded Funds (OTFs) — tools that feel familiar but behave differently. Each OTF carries its own strategy, whether it’s quant-driven, volatility-focused, or built for structured yield. These aren’t frozen products. They react. They adapt. They adjust themselves in real time to market conditions.
Underneath it all, the tech operates quietly. Smart contracts act like pathways that guide capital from one vault to another. Nothing moves without direction. Liquidity flows the way blood moves through veins — steady, purposeful, aligned with a larger design. Simple vaults gather liquidity, while composed vaults shape it into structured outcomes.
Governance in Lorenzo appears slowly, like something growing instead of being switched on. The BANK token is not just another asset to hold. With vote-escrow and long-term commitment, veBANK becomes a way for the system to “remember” who is contributing and for how long. Governance feels less like a feature and more like participation in a collective brain.
Time behaves differently inside Lorenzo. The usual noise of short-term trading starts to drift into the background. Strategies unfold in cycles rather than minutes. People who interact with the system start to feel more grounded. Instead of reacting to every market spark, they settle into a rhythm built on structure and clarity.
Traders see the difference first. Instead of hunting isolated opportunities, they begin to view the market as a connected landscape. Risk becomes something you can shape, not something you fear. Exposure feels intentional, not random.
Builders see Lorenzo as a foundation — a place where financial ideas can be expressed through structured strategies instead of raw code. It frees them to design meaningful flows without needing to explain every complex mechanism behind the scenes.
A quiet sense of confidence enters the picture. Not hype. Not FOMO. Just a steady trust in how the system behaves. People watch capital move through vaults and start to see order in a place that usually feels chaotic.
Lorenzo doesn’t pretend to remove risk. Instead, it gives risk context. It turns uncertainty into something you can study and work with. Finance becomes less of a chase and more of a craft.
As the protocol evolves, the borders between traditional finance and Web3 begin to blur. Old-world strategies meet new-world transparency. Lorenzo sits right at that intersection — not rejecting the past, but giving it a new environment where it can grow.
Spend enough time with the system, and it starts to feel almost organic. Vaults adapt. Strategies rebalance. Governance shifts with community sentiment. There is memory. There is feedback. Something like a living intelligence begins to form — not human, not artificial… but a shared system shaped by both.
Emotion becomes part of the experience. When someone locks their tokens into veBANK, it’s not just a transaction. It feels like alignment — a way of saying I’m part of this. Votes matter. Decisions matter. Governance stops being abstract.
Zoom out far enough, and Lorenzo stops looking like a product. It looks like infrastructure — a place where long-term thinking can live, where strategies breathe, and where access isn’t gated by privilege but by understanding.
You begin to see the broader pattern: humans offering values and vision, machines executing with precision and speed. Together, they form a coordination layer that neither could build alone.
This collaboration changes behavior. People read more. They slow down. They learn. The protocol rewards patience, not frenzy. Participation, not speculation. Culture shifts one person at a time.
From a distance, the story becomes clearer: Lorenzo is building something that lasts. Not another attention-grab. A system with memory and structure. A place where capital learns to behave with purpose.
In the final view, the picture is peaceful — capital moving through digital pathways, governance pulsing with collective thought, humans and machines working side by side rather than against each other.
Lorenzo Protocol feels alive. Not finished. Not fixed. Just evolving — with every strategy, every vote, and every person who chooses to be part of it.
And somewhere inside that quiet, steady movement… the future of on-chain finance begins to take shape.
#lorenzoprotocol  #LorenzoProtocol @Lorenzo Protocol $BANK

Kite AI just secured $18 million in Series A funding, led by PayPal Ventures — pushing its total funding to $33 million. The goal behind this raise is simple but ambitious: build decentralized infrastructure where AI agents can live, think, transact, and operate directly on Web3 rails.
This round brought in a strong list of backers, including Samsung Next, SBI US Gateway Fund, 8VC, Vertex Ventures, Hashed, HashKey Capital, Avalanche Foundation, LayerZero, Animoca Brands, and several others. Earlier this year, Kite rolled out the testnet of its AI-focused Layer-1 chain built on Avalanche, designed to support fast data processing and coordinated AI operations at scale.
A New Kind of Web3 User: AI Agents
Kite’s vision revolves around a simple idea — AI agents will eventually become active “users” in the Web3 ecosystem. These agents are autonomous programs that observe their environment, make decisions, and act without human supervision. To support this new user category, Kite is building the infrastructure they need to operate safely.
The team introduced AIR, a system that allows these AI agents to hold identities, authenticate themselves, and complete transactions. AIR includes two main modules:
Agent Passport — a digital identity layer that creates a trust chain by giving users, agents, and sessions their own cryptographic IDs.Agent App Store — a marketplace where AI agents can access data, services, and tools, and even pay for them using native stablecoins.
Kite says this layered identity system helps trace every action back to its source, creating a secure environment where agents can interact at machine speed without compromising trust.
Why PayPal Ventures Backed Kit
Kite’s co-founder, Chi Zhang, believes autonomous agents will become the main interface for future digital economies. But current financial systems weren’t built for this kind of activity — especially when machines are executing micro-transactions nonstop.
He explains that AI agents need three things to function properly:
Reliable and structured dataA trust-based identity systemPayments built for speed, scale, and autonomy
With Kite’s infrastructure, businesses like PayPal or Shopify merchants could eventually make their catalogs discoverable to shopping agents, enabling automated purchasing flows. All transactions settle on-chain using stablecoins, ensuring transparency and speed.
Alan Du from PayPal Ventures described Kite as “the first real infrastructure built for the agentic economy,” highlighting that payments remain a major challenge in AI systems — and Kite solves this with millisecond-level stablecoin settlement.
PayPal’s digital assets team echoed this sentiment, saying the system creates a space where humans, enterprises, and machines can interact seamlessly.
AI Agents Are Becoming a Big Trend
Interest in AI-run systems is growing fast across Web3. Teams inside Coinbase recently predicted that AI agents may soon become Ethereum’s “biggest power users.”
But because agents operate so differently from humans, the industry is now building specialized tools that can help them interact with blockchains, execute complex tasks, and work across protocols.
Some developers argue that intent-based blockchains — systems that understand the goals behind a transaction — will be essential for AI agents to function at scale.
We’re already seeing early examples.

One of the most active AI-agent DApps today is Clanker, which lets AI create memecoins based on simple user prompts. It has generated over $34 million in fees — showing how quickly agent-driven systems can take off.
Kite AI’s latest funding round suggests we’re still at the very beginning of this shift. As decentralized AI continues merging with onchain finance, autonomous agents may become the next major wave shaping how Web3 actually works.
#KITE @KITE AI $KITE

Falcon Finance is quietly expanding its ecosystem in a way that feels more natural than experimental. The platform, known for its universal collateral layer, has added tokenized gold to its Staking Vaults — giving users a new way to earn steady returns while still holding an asset the world has trusted for centuries.
The new vault supports Tether Gold (XAUt), a token that represents real, physical gold. Anyone who deposits XAUt into the vault can lock it for 180 days and earn around 3–5% APR. Rewards are paid weekly in USDf, Falcon’s diversified synthetic dollar backed by multiple real assets.
This addition makes XAUt the fourth token in Falcon’s staking lineup, joining ESPORTS, VELVET, and FF. Together, these assets reflect Falcon’s shift toward rewards that are backed by real collateral rather than inflationary emissions.
Artem Tolkachev, Falcon’s Chief RWA Officer, summed it up simply:

“Gold has always been one of the world’s most reliable forms of collateral. Adding XAUt to our vault system helps us build a flexible, multi-asset engine for different types of users. Some want leverage, others just want quiet, stable returns. Vaults are built for the second group — predictable yield without giving up your exposure.”
Falcon first enabled XAUt as collateral for minting USDf back in October 2025, and the new vault feels like a natural next step.
Blending Traditional Value With Onchain Liquidity
Gold has always been seen as a safe haven, and now its tokenized version is becoming one of the fastest-growing segments in the RWA space. By launching the XAUt vault, Falcon is bringing this traditional store of value into a modern, programmable environment.
The design of the vaults is simple on the surface but powerful in practice. Users earn weekly USDf rewards without minting extra tokens or relying on emissions. It feels closer to a fixed-income product than a typical crypto yield farm — and that’s exactly what many users have been looking for.
Growing Focus on Real-World Assets
Falcon is steadily building a reputation as one of the leading RWA-focused protocols. It already supports tokenized stocks, corporate debt, government bills, and now gold — all inside the same collateral engine. This positions Falcon at the center of the broader RWA wave shaping the next chapter of onchain finance.
Moving Toward a Full Multi-Asset Yield Layer
As the market matures and investors look for more stable income products, Falcon’s staking vaults have seen consistent growth. The new XAUt vault adds a fresh category: a commodity-backed asset with the stability of gold and the flexibility of blockchain.
With sovereign bond integrations in progress, a regulated version of USDf being prepared, and more RWA assets expected in early 2026, the launch of the XAUt vault marks another step toward Falcon’s vision of universal, cross-market collateral.
#FalconFinance @Falcon Finance $FF

When I first started exploring Bitcoin DeFi a few years back, most projects felt more or less the same. You’d lock up BTC somewhere, get a wrapped version, and then hope the yield didn’t disappear overnight. It was exciting, but also messy. A lot of platforms looked innovative on the surface, yet once you dug deeper, the structure behind them was thin.
Then I came across Lorenzo, and honestly, the experience felt different from the first click.

Not because it threw bigger yields at me, but because the whole system looked like it was built with actual care — almost like something you’d expect from traditional finance, but fully on-chain and without the usual gatekeeping.
Not Just “BTC Yield” — Something More Thought-Out
Most BTC-DeFi platforms repeat the same recipe: wrap BTC, plug it into a pool, and call it a day.

Lorenzo didn’t go down that path.
Their idea revolves around On-Chain Traded Funds (OTFs) — basically vaults that follow clear strategies rather than random yield-chasing. Each vault has defined rules, visible positions, and transparent execution. You can see what’s happening instead of guessing.
It feels closer to a proper financial product than a wild DeFi experiment.
The Engine Behind It: FAL (Financial Abstraction Layer)
This is where Lorenzo starts to feel unique.
There’s a system behind the vaults — the Financial Abstraction Layer, or FAL.

Think of it as the engine room that handles the complicated stuff quietly in the background:
balancing riskadjusting positionsautomating strategy changesmanaging collateraloptimizing yields
Most users never notice these things, but they’re the reason Lorenzo behaves smoothly even during busy market hours.
A lot of BTC-DeFi projects skip this kind of internal structure, and it shows. With Lorenzo, the machinery feels mature, not rushed.
Transparency That Feels Comforting, Not Overwhelming
One thing that drew me in was how open the system is.
Every movement, every update, every change inside a vault? It’s all recorded on-chain.

Nothing happens behind closed doors. You don’t have to trust a PDF report or wait for some “audit update.”
If you’re the type who likes digging into transactions or checking real positions before investing, Lorenzo makes that easy. In a world where DeFi often asks users to trust blindly, this alone puts Lorenzo in its own category.
BTC Becomes Productive, Not Just Parked
In many protocols, BTC is basically just collateral. It sits there, does nothing, and you hope the yield comes from the platform’s token emissions.
Lorenzo flips that idea.

Their vaults use BTC in active, diversified strategies, treating it like a real productive asset. Not in a reckless way — more like a structured, planned approach.
It makes BTC feel alive again, instead of frozen inside a wrapper.
A Simpler Experience in a Complicated Market
One thing I genuinely appreciate: Lorenzo doesn’t try to overwhelm users.
You don’t need to bounce across chains, sign dozens of transactions, or manually balance positions. It’s a deposit-and-relax experience. The vaults do the heavy lifting; you just watch things move transparently.
Other BTC-DeFi platforms sometimes feel like you need a mini-degree just to get started.

Lorenzo avoids that problem completely.
A Long-Term Approach, Not A “Cycle Play”
The longer I watched Lorenzo operate, the more it became clear that they aren’t building for hype. Their structure, their vault logic, the FAL system — everything points toward long-term usage, not seasonal farming.
In a space where many BTC-DeFi projects chase short-term momentum, Lorenzo is one of the few building an actual foundation.
Final Thoughts
What makes Lorenzo unique isn’t one flashy feature.

It’s the combination of things:
structured, transparent vaultsa well-designed automation layerhealthy risk managementclear strategiesan experience that feels both simple and trustworthy
Lorenzo manages to bring a sense of order to Bitcoin DeFi — the kind of order you usually only see in traditional finance, but without losing the freedom and transparency of blockchain.
In a noisy market full of promises, Lorenzo stands out for doing the quiet, difficult work that actually matters.
#lorenzoprotocol #LorenzoProtocol  @Lorenzo Protocol $BANK

Think back to 2007. The first iPhone had just arrived, and everyone was excited about mobile apps. But there was a big problem: the Internet wasn’t built for them. Networks were slow, APIs were clunky, and developers were constantly trying to work around limitations that weren’t designed with smartphones in mind. Many people even believed mobile Internet would stay a small niche because the foundations weren’t ready.
Today, something very similar is happening again—but this time with autonomous AI agents. These systems have become incredibly capable, yet the world they operate in is still shaped for humans. The question now is whether we will build the right foundations quickly, or repeat the long, painful adjustment we saw during the early mobile years.
Why This Moment Matters
A mix of breakthroughs has created the perfect environment for AI agents to take off:
AI models have become affordable.

Costs have dropped sharply, while performance continues to improve. What once required enterprise-level budgets can now be run by small teams or even individual developers. Tools that used to cost thousands per month can now operate for a fraction of that.
Development has become easier.

New frameworks like MCP and A2A communication allow developers to build and connect AI agents much faster. What previously took months of work can now be done in a weekend.
Scaling is now possible.

With both cost and complexity barriers falling, we are stepping into a world where personalized AI agents will support almost every task—shopping, investment decisions, logistics, business operations, and more. We may even see companies built by one person and an entire network of specialized agents.
But even though the demand is here, the current Internet infrastructure still assumes a human is sitting behind every action. For AI systems, that creates major limitations.
Where Today’s Infrastructure Fails AI Agents
Right now, AI agents operate the way people once used the Internet on dial-up connections: slow, clumsy, and far from their true potential.
Authentication is a major roadblock.

Tokens expire and often require a human to refresh them. Payments need approval. Small tasks that should be automated get stuck in manual loops.
Identity is another missing piece.

AI agents don’t have a universal, verifiable identity. One agent cannot easily prove to another system that it is trusted or authorized. This makes integration painful and forces developers to create complicated workarounds.
Because of these issues, most AI agents never reach full autonomy. Despite huge investments in AI capabilities, many agents are still locked in controlled environments with limited real-world action.
What an AI-First Infrastructure Needs
If AI agents are going to operate independently, they need an Internet designed around their needs. Four things are essential:
1. A verifiable identity system

Agents must be able to prove who they are and what they’re allowed to do, without human intervention.
2. Built-in micropayments

AI should be able to pay for services, make small transactions, or run subscriptions automatically—within defined limits.
3. Programmable governance

Humans must be able to set boundaries: spending caps, permissions, allowed behaviors. Agents must follow these rules automatically.
4. Clear audit trails

Every action must be traceable so organizations can review, optimize, and trust agent behavior.
Without these four pillars, AI agents will never reach their full potential.
How KiteAI Solves the Problem
KiteAI is building infrastructure that treats AI agents as first-class participants—something the traditional Internet was never meant to do.
Its Agent Passport system gives agents cryptographically verifiable identities. This helps them prove their authority and removes the guesswork other systems face when trying to verify an agent’s intentions.
KiteAI also introduces a Proof of AI mechanism, allowing contributors to receive credit for the work their agents perform. This brings transparency, fairness, and accountability into the process.
Their testnet has already handled more than one billion agent interactions, showing that the system can operate at real-world scale. Developers have used it to build tools ranging from AI agents that reduce household grocery costs to trading systems that react in microseconds.
The Window of Opportunity
The shift to AI-first infrastructure isn’t a question of “if”—only “when.” And in transitions like this, early builders often become the long-term winners. The mobile era proved this: companies that embraced mobile-first early dominated the market, while late entrants struggled to catch up.
We are now facing a similar turning point, but the stakes are even higher because AI agents can reshape entire industries.
KiteAI has already laid the groundwork, and developers are building on top of it today. The opportunity is here now—before bottlenecks slow innovation and before outdated infrastructure limits what these agents can accomplish.
The future belongs to the systems that prepare for it early. And KiteAI aims to be the foundation that helps AI agents operate freely, safely, and at full scale.
#KITE @KITE AI $KITE