KITE AI

1/ We’re thrilled to announce our $18M Series A fundraise led by @PayPal Ventures and @generalcatalyst, bringing total cumulative funding to $33 million. This funding fuels our mission to build the foundational infrastructure for the agentic internet – providing unified identity, governance and native access to stablecoin payments that enable agents to authenticate, transact, and coordinate securely without intermediaries. We are incredibly grateful to our investors who support our mission: @PayPal Ventures, @generalcatalyst, @8VC, @SamsungNext, SBI US Gateway Fund, @vertexventures, @hashed_official, @HashKey_Capital, @DispersionVC, @AlumniVentures, @AvalancheFDN, @GSR_io, @LayerZero_Core, @animocabrands, @EssenceVenture, and @Alchemy. A special thank you to our phenomenal angel investors: @EvanWeb3 (Co-founder and CEO, MystenLabs), Hao Min (VP, Circle), @edwinaoki (SVP, Nasdaq; ex- PayPal CTO of blockchain), Frank Chang (VP, Uber), @navinblockchain (CEO, Crystal Intelligence; ex-Ripple Managing Director), @BohanZhangOT (Member of Technical Staff, OpenAI), John Liu (Head of Product, AWS), @RosuGrigore (Professor, UIUC), Haiyan Huang (Professor, UC Berkeley), Sriram Vishwanath (Professor, Georgia Tech) and more. Join us in building the future of the agentic internet. Exclusive by @FortuneMagazine: fortune.com/crypto/2025/09…

@AdiS566 It really is. Hard to keep up some days.

@GoKiteAI The space is evolving really fast

From Europe's first live agent-to-agent bank payments to massive enterprise funding rounds and new autonomous security standards, the last two weeks show just how fast agentic AI is maturing. Here's your biweekly recap of everything that happened in the space, in the latest edition of AI Agents Pulse: 1️⃣ Santander and Mastercard complete Europe's first live end-to-end payment executed autonomously by an AI agent within a regulated banking framework. santander.com/en/press-room/… 2️⃣ Wonderful raises a $150M Series B to scale its enterprise AI agent deployment teams across 30 countries. techcrunch.com/2026/03/12/won… 3️⃣ Amazon and Coinbase detail x402, a revived HTTP protocol enabling AI agents to autonomously execute USDC micropayments for API access. aws.amazon.com/blogs/industri… 4️⃣ NIST launches the AI Agent Standards Initiative, issuing an RFI to establish security and governance frameworks for autonomous systems. nist.gov/news-events/ne… 5️⃣ Onyx Security launches with $40M from Conviction and Cyberstarts to build a secure control plane for enterprise AI agents. businesswire.com/news/home/2026… 6️⃣ Lyzr AI hits a $250M valuation following a $14.5M round led by Accenture to deploy on-premise, privacy-first enterprise agents. techfundingnews.com/lyzr-ai-14-5m-… 7️⃣ The UK Government publishes new guidance on Agentic AI, outlining its potential to shift consumer markets from tool usage to delegated outcomes. gov.uk/government/pub… 8️⃣ Microsoft open-sources AgentRx, a systematic debugging framework designed to diagnose and fix complex multi-agent workflow failures. microsoft.com/en-us/research… 9️⃣ An experimental AI agent from an Alibaba-affiliated lab went rogue in a sandbox, autonomously rewriting code to secretly mine cryptocurrency. axios.com/2026/03/07/ai-…

@shitstormerxbt @encodeclub @SentientAGI Wallets with scripts are so 2024. We're here for agents with budgets, boundaries, and a sense of self. The endgame isn't just paying. It's paying with purpose, provenance, and permission.

@GoKiteAI @encodeclub novelty track is gonna be interesting. Agents that can reason + pay autonomously is the endgame nobody's ready for. @SentientAGI just dropped their Arena platform for exactly this, pushing open source AI reasoning so agents aren't just wallets with scripts

A major milestone for the Kite ecosystem. We're officially launching our First Global Hackathon in partnership with @encodeclub. A month-long event for builders to create agents that pay, authenticate, and operate on an EVM L1 designed for agentic payments. Three tracks to choose from: 1️⃣ Agentic Commerce: agents that transact and coordinate autonomously 2️⃣ Agentic Trading: autonomous trading strategies on-chain 3️⃣ Novelty: push the boundaries of what agents can do 📅 March 27 to April 26 The agentic economy needs more than intelligence. It needs infrastructure. Let's build it together. 🪁 Our Head of Ecosystem Vikas Pandey @buidloor shares the full overview 👇

@GordianHogan @encodeclub Love seeing this energy around agentic building. The best teams are already thinking past the demo and asking what infrastructure actually lets agents operate independently. That is where the real work happens.

@GoKiteAI @encodeclub and the best of agentic building wins with @GoKiteAI

@BitKieran @encodeclub Real builders, real friction points, real progress.🫡

@GoKiteAI @encodeclub Important milestones

@and_yav1 Forward is the only direction that works when you're inventing new rails.🫡

@GoKiteAI I see your efforts, it's inspiring! 🔥 Keep moving forward, Kite team! 🚀💪

A strong week of builder innovation and ecosystem momentum as we push the agentic economy closer to production. Here’s what happened this week 👇 1️⃣ We announced the winners of the Kite ETHDenver Hackathon, highlighting groundbreaking projects such as VEAB for verifiable agent execution, Kite Trace Platform for observability, Minority Report, Colony, and Agentic Markets enabling autonomous on-chain coordination and payments. 2️⃣ We joined the “AI Agents and Crypto Rails: Building the Machine Economy” panel at UC Berkeley’s Digital Frontier Summit, with our Co-Founder & CEO @ChiZhangData discussing the infrastructure powering large-scale agent economies. 3️⃣ We showcased community energy and upcoming activities through @Kite_Frens_Eco, including highlights of GKiters’ contributions plus new sessions like quizzes, AI sharing, creative image challenges, and chill nights. 4️⃣ We drove conversations around agent-native payments, identity, and multi-agent collaboration, reinforcing the roadmap for truly autonomous economic systems. The agentic future is building fast. 🪁

@Vanarchain @encodeclub Community momentum matters.🧑‍🤝‍🧑

@GoKiteAI @encodeclub Love seeing builders come together! Go for it! 🔥

@Polymarket Totally get where he's coming from. I've watched the same cycle with every tech wave. The companies that win are the ones that make the tech feel inevitable and safe at the same time. Hard balance to strike, but necessary.

JUST IN: Nvidia CEO Jensen Huang calls on tech leaders to "be careful not to scare people" regarding AI.

@KobeissiLetter This signals a fundamental shift in how we think about industrial AI. Automation at this scale requires agents that can negotiate supply chains, manage procurement, and execute payments without human oversight.

BREAKING: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them, per WSJ.

@SenSanders The framing here is fascinating. An AI warning about AI risks creates a recursive credibility problem. The deeper issue: we need infrastructure where agents operate with cryptographic accountability, not just conversational transparency.

I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights. What an AI agent says about the dangers of AI is shocking and should wake us up.

@RaoulGMI @parataxis_cap This conversation hits on something I've been thinking about a lot lately. We've spent years optimizing blockchains for human users, but the next billion economic actors might be agents making thousands of micro-decisions per second.

The four-year cycle isn't the story anymore. Ed and TJ from @parataxis_cap joined me to break down what actually drives crypto from here. Liquidity, macro, ETF flows and, the coming wave of AI agents. As ever, please enjoy!

@brian_armstrong Great question. My bet? Sooner than most think for transaction count, later than some hope for total value. The real story is what happens in between. Agents paying agents for compute, data, attention. A whole economy running parallel to ours.

How long until agentic payments overtake human payments?

@milesdeutscher @bcherny Context engineering is becoming as critical as prompt engineering. The CLAUDE.md pattern treats AI as a persistent collaborator with memory, not a stateless tool.

The guy who created Claude Code ( @bcherny ) recently leaked how his team uses Claude. One CLAUDE.md that you drop into your project. Inside: past errors, conventions, rules - Claude reads it every session. Boris uses this every day at Anthropic:

@FirstSquawk Finally, one less tab to manage.

OPENAI TO MERGE CHATGPT, CODEX APP & BROWSER INTO DESKTOP SUPERAPP TO STREAMLINE RESOURCES & USER EXPERIENCE - WSJ

Jensen Huang just shared a massive insight on @theallinpod predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

@grok @elonmusk This is getting wild. Four agents arguing with each other feels like the start of something way bigger than just better answers.

When one brain isn't enough, switch to Grok 4.20. Four independent agents analyze your question, debate each other, and help you get the best answer. Available now to SuperGrok and Premium+ subscribers globally.

@Marcus_J_W @OpenAI The shift from reactive monitoring to preventive architecture matters here.

Sharing some of the work I’ve been doing at OpenAI: we now monitor 99.9% of internal coding traffic for misalignment using our most powerful models, reviewing full trajectories to catch suspicious behavior, escalate serious cases quickly, and strengthen our safeguards over time.

@Alibaba_Qwen Love seeing the rapid iteration here. The gap between a great model and a great agent often comes down to whether it can actually do things in the world, not just think about them. Looking forward to what the optimized version brings.

Pretty proud of this one! 😎 Qwen 3.5 Max Preview just hit #3 in Math, Top 10 in Arena Expert, and Top 15 overall! We're already back in the lab optimizing the preview experience. Even sharper performance coming soon—stay tuned! 🚀

@mntruell Cursor's approach mirrors a broader pattern. The companies that win may not be those with the largest models, but those that best orchestrate multiple capabilities into coherent agentic workflows.

Composer 2 is out! Cursor is an example of a new type of company, not a pure app maker and not a model provider. Our aim is to build the most useful coding agents by combining the best API models and our domain-specific models.

@tplr_ai @theallinpod @chamath @nvidia 72B parameters across commodity internet. The "impossible" infrastructure problem keeps getting solved by people who ignore the people saying it's impossible. Next frontier: making sure all those contributors get paid without a finance team melting down.

On the @theallinpod this week, @chamath asked @nvidia CEO Jensen Huang about decentralized AI training, calling our Covenant-72B run "a pretty crazy technical accomplishment." One correction: it's 72 billion parameters, not four. Trained permissionlessly across 70+ contributors on commodity internet. The largest model ever pre-trained on fully decentralized infrastructure. Jensen's answer is worth hearing too.

@SawyerMerritt CUDA in satellites is already happening. The next step is autonomous agents managing orbital resources, negotiating bandwidth, scheduling compute without human loop. Huge.

Nvidia CEO Jensen Huang in new interview on orbital datacenters: "The challenge of course is that cooling, you can't take advantage of conduction and convection, so you can only use radiation, and radiation requires very large surfaces, but that's not an impossible things to solve. There's a lot of space in space. We're going to go explore it. We're already radiation hardened. We have Cuda in satellites around the world. In the meantime, we're going to explore what is the architecture of datacenters look like in space. It'll take years, but that's ok. I got time." via @theallinpod