For the past several months, @Airwallex has been the subject of false allegations originating with a board member of a direct competitor that include wild conspiracy theories about me. Today I am responding directly with facts and an independent security assessment that speaks for itself. I also want to use this moment to introduce Airwallex properly. We are a decade into building financial infrastructure that gives American businesses the ability to compete and win globally. That work continues. I was born in China. I arrived in Melbourne at fifteen with little English and no safety net. Australia gave me the education, the opportunity, and the freedom to build something. The United States represents that same promise, perhaps more powerfully than anywhere else on earth. We plan to keep building here. airwallex.com/global/blog/se…

Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥 Multi-million $ partnership to support American open-source AI, let’s go!

Token costs are why there will be no saas apocalypse / good dev tools are cached intelligence for agents! The popular theory goes: agents can write code, so they'll just rebuild every tool from scratch and hit raw APIs. no more dev tools, no more CLIs, no more software layers. just agents and endpoints! We just tested this and the data says the opposite. We benchmarked Claude Code and Codex on real Hugging Face Hub tasks (~1,000 graded runs), with two setups: the agent-optimized hf CLI vs the agent hand-rolling curl or SDK calls from scratch. Hand-rolling burns up to 6x more tokens on multi-step tasks and fails more often (84% vs 94% task success). And that's just dropping one abstraction layer. It would obviously be orders of magnitude more tokens and a dramatically higher failure rate if the agent tried to bypass HF altogether and rebuild model hosting, versioning, and distribution from scratch. Every time an agent re-derives a workflow from raw API calls, you pay for that reasoning in tokens. every single run. a good CLI compresses that entire chain into a few high-level commands the agent can't get wrong. In a world where everyone is complaining tokens are too expensive, abstraction is leverage: thousands of hours of design decisions your agent doesn't have to re-reason about at inference time. Good tools are cached intelligence for agents! So no, agents won't rebuild everything from scratch. they'll gravitate to the most token-efficient tools, because that's what their owners pay for. The software that survives won't just be accessible to agents, it will be accurate and cheap for them to drive. We're seeing it happen with HF, which is becoming the platform for agents to use AI: ~49M requests in just two months, and growing fast! huggingface.co/blog/hf-cli-f…

Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission. Pending completion of SEC review, this gives us the option to pursue an initial public offering. Read more: anthropic.com/news/confident…

We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia. This investment will help us advance our research and expand our capacity to meet growing demand for Claude.

Salesforce Ventures is proud to invest in @resolveai 🚀 Monitoring tools tell you something is broken. They can't tell you why — and they can't fix it. Resolve AI can. 60% reduction in MTTR, 70% faster alert triage, 10-minute diagnoses on issues that take hours. The next era of enterprise AI is about how software is run. Cheers @spirosx and the entire Resolve AI team 🤝salesforceventures.com/persp…

We just raised a $45M Series B at a $500M valuation led by @a16z and @SalesforceVC to build the knowledge infrastructure for AI

"@wiz_io's journey is an extremely rare instance of the right people building the right product in the right market at the right time. When that happens, a team can achieve outlier results." 🚀 @nkkall wrote about the Wiz acquisition in a new blog post: salesforceventures.com/persp…

Today, we announced that Google has completed its acquisition of @wiz_io. Together, we’ll provide customers with a comprehensive platform to secure their cloud and hybrid environments. Coupled with our Google Unified Security platform, we will help accelerate the adoption of multicloud cybersecurity, the use of multicloud environments, and drive innovation and growth in cloud computing.

We've invested in @WeAreLegora's $550M Series D 👏 Legal AI has moved from experimentation to firm-wide mandates. Legora expedites the most time-intensive legal workflows by embedding into the tools lawyers already use. Proud to back this team 🤝 salesforceventures.com/persp…

Big day at @WeAreLegora! We have raised $550 million at a $5.55 billion valuation in a Series D funding round, led by @Accel, to accelerate expansion across the United States. To all our customers and partners, this celebration is as much yours as it is ours.

We saved our customers over $1.3 Billion in 2025 alone. That value has helped @Airwallex reach $1.2 Billion in ARR, growing 85% YoY. @Deel, @McLarenF1 , @boltapp and 200,000 other customers trust us because legacy banking wasn't meant for global businesses: • Opening a bank account in a new country takes weeks • SWIFT transfers take 3-5 days • Other platforms convert your money even when you don't want to But with Airwallex you can: 1. Open an account and get paid like a local in 70 countries Most platforms force you to convert your money into your currency and charge you a conversion fee to do it. With Airwallex, your UK client pays you in GBP and it sits in your GBP balance. Your Australian client pays in AUD and it sits in your AUD balance. When you need to pay a UK vendor or run Australian payroll, you can simply pay from the same currency in your Airwallex account which leads to zero conversion fees. 2. Send and receive money on the same day SWIFT takes 3–5 days and hits you with unpredictable fees on every transfer. But over 90% of Airwallex transactions happen on the same day. Since Airwallex uses local rails to move your money, it also happens at near-zero cost. 3. Issue multi-currency cards instantly Airwallex helps you issue multi-currency cards to your employees across the entire world. And every transaction is automatically synced to your accounting system in real-time. 4. Integrate Airwallex in your product SaaS platforms and marketplaces can also use our APIs to offer these financial services to their customers. In fact, many companies are doing it already. But this is just a glimpse of what Airwallex can do. We’re building the all-in-one financial stack your company will ever need. If you're doing $50M in revenue, you could save up to $500k in fees. And that's money back into your business. Sign up for a demo here: airwallex.com/offer/airwalle…

Today ggml.ai joins Hugging Face Together we will continue to build ggml, make llama.cpp more accessible and empower the open-source community. Our joint mission is to make local AI easy and efficient to use by everyone on their own hardware.

AI verification is here... meet Code Metal! Proud to share that Code Metal has closed a $125M Series B at a $1.25B valuation, led by @salesforce Ventures with @Accel , @BCapitalGroup, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, and more. Excited to join as President & COO 🙏 🚀 businesswire.com/news/home/2…

We’ve raised $30B in funding at a $380B post-money valuation. This investment will help us deepen our research, continue to innovate in products, and ensure we have the resources to power our infrastructure expansion as we make Claude available everywhere our customers are.

Announcing our investment in Fundamental 🚀 Most enterprise data lives in spreadsheets — a format AI couldn't crack. Until now. Fundamental built Large Tabular Models: accurate predictions with one line of code. 🔗Read more about our investment: salesforceventures.com/persp…

Today is a day I’ll never forget. I grew up in Cupertino. My dad was a tech founder in the 80s/90s. I was in YC S07. LiveKit is my 5th company. The first 4 didn’t work out. I’ve had a lot of advantages — it still took 20 years to get here. Founders: keep taking shots.

We’ve invested in @livekit 🚀 The next generation of AI doesn’t just read and write — it sees, hears, speaks, & acts in real time. LiveKit is building the nervous system for multimodal AI, enabling devs to build and operate real-time agents at scale. salesforceventures.com/persp…

This is a big deal. Most of the voice AI community says that speech-to-speech models aren’t ready for production use cases. Two reasons: 1. Reliability (more hallucinations) 2. Cost (s2s models are expensive) On (1), Grok’s Voice Agent API is already running at large scale across Grok’s apps, in Tesla vehicles, and in call centers. There’s more work to do, of course, but progress is being made quickly. On (2), you get SOTA performance for $0.05/minute, which meets or beats aggregate cascade model (STT LLM TTS) pricing. Excited to partner with @xai on this launch — you can build a custom Grok Voice Agent with workflows, tool calling, the whole shebang, in a few lines of @livekit code. The future of speech-to-speech is bright!