Nunchux AI (https://t.co/sAHxMqhcJo) comes out of stealth today.
Ten years ago at Berkeley, we spent whole nights on a Titan X in Theano, trying to make iGAN, pix2pix, and CycleGAN real-time so creators could see the results the moment they asked for them.
Image models now cost about 10,000x more to run. Video is another two orders of magnitude beyond that. The reason for speed has not changed. Every attempt is a question, and the answer changes the next question. Latency decides whether the result arrives while the idea is still yours. Cost decides how many questions you get to ask. Quality decides whether the answers were worth asking for.
So we are building fast, cheap, and high-quality multimodal inference for every developer and enterprise, and we are building with researchers from MIT, CMU, and Berkeley, along with engineers who have shipped at AMD, NVIDIA, and Snowflake.
We are now opening access through the waitlist. New accounts get $10 in credits.
Today is a meaningful day for me.
Seven years ago, as an undergraduate, I started researching efficient generative AI. At the time, few people saw generative AI becoming something people would use every day. GANs were still the frontier. Then came diffusion. Now we are beginning to build models that can generate and reason about worlds.
I kept thinking about what would have to change before these models felt practical. They needed to respond quickly, be affordable to run, and work reliably.
That work led to Nunchaku, and eventually to Nunchux.
Today, we’re launching @NunchuxAI.
None of this would be possible without my cofounders, @junyanz89@syn7xavier and Zhekai Zhang, and the extraordinary team building Nunchux. Thank you to our early users, @emergencecap, @e14fund, and our angel investors for believing in us early.
We’re hiring. If this problem feels like yours too, come build with us!
Today is a meaningful day for me.
Seven years ago, as an undergraduate, I started researching efficient generative AI. At the time, few people saw generative AI becoming something people would use every day. GANs were still the frontier. Then came diffusion. Now we are beginning to build models that can generate and reason about worlds.
I kept thinking about what would have to change before these models felt practical. They needed to respond quickly, be affordable to run, and work reliably.
That work led to Nunchaku, and eventually to Nunchux.
Today, we’re launching @NunchuxAI.
None of this would be possible without my cofounders, @junyanz89@syn7xavier and Zhekai Zhang, and the extraordinary team building Nunchux. Thank you to our early users, @emergencecap, @e14fund, and our angel investors for believing in us early.
We’re hiring. If this problem feels like yours too, come build with us!
Nunchux is live at https://t.co/PyrPtRRa64!
We’re building the frontier of multimodal generative AI inference: fast, affordable, high-quality serving for image, video, and world models.
Our Modelverse brings 30+ image, video, and avatar models behind one API. Use Nunchux-optimized models in Radical Speed and Radical Value tiers, alongside partner APIs. More models are on the way.
We’re opening access through the waitlist now. New accounts get $10 in credits.
Read our launch blog: https://t.co/JxekjGqfaG
"VISO TRUST’s agentic third-party risk capabilities naturally complement and enhance Protecht’s existing risk management platform to help customers confidently manage risk across their entire enterprise and vendor ecosystems." -Jason Phillips, Protecht CEO https://t.co/dmxVKsEGSz
Today we unveiled Neo Residency, a new program for startups and high-agency student teams. 🎉
We’re replacing our best-known program, Neo Accelerator, with something even better and more selective. 🧵
I am proud to announce that Higgsfield is officially the fastest-scaling GenAI company today.
After hitting a $200M run rate in a record-breaking 9 months, we doubled from $100M to $200M in just 8 weeks. That’s not all. Higgsfield raised $130M in Series A with Accel, Alpha Intelligence Capital, and Menlo Ventures behind us.
People call us the next "Cursor for video," but the scale here is different. The software tools that created today’s tech giants went after markets measured in the hundreds of billions. Higgsfield is going after the trillion-dollar video economy.
The numbers speak for themselves:
- $200M run rate in under nine months
- 100% growth in two months ($100M → $200M)
- 15M+ users worldwide
- Customers already spending $300K+ per year
- 200 product releases in 2025, reflecting an extremely fast-moving team
Cheers to the greatest team in the world building the greatest product ever.
To our partners and investors: thank you for betting on the vision.
and we are just getting started.
Higgsfield is officially the fastest-scaling GenAI company in history, doubling from $100M to $200M in just 2 months.
$200M annual run rate in under 9 months.
We have raised a $130M in Series A at a $1.3B valuation, backed by Accel,
AI Capital Partners (Alpha Intelligence Capital's US-based fund), and Menlo Ventures.
To the creators and partners who built this with us: thank you for making Higgsfield a global movement.
“Scale Asia Ventures’ platform exists to give founders a direct bridge: Asia’s manufacturing and enterprise demand on one side, and Silicon Valley capital, product culture, and go-to-market on the other.” https://t.co/Hi4fYDcEsG
Great to see my partner Ben Eum represent @scale_asia at the @AVCJ PE Forum Hong Kong 2025 – VC Summit panel “Local to global: Navigating volatility.” Asia-based AI & enterprise founders are still building global-from-day-one, just with a sharper playbook. 🌏📈
Seed is where product intuition, market timing, and founder grit intersect. At SAV, we partner early with builders reshaping enterprise software with AI—and we help them land their first strategic customers across the U.S. and Asia. https://t.co/nivN6DU4XF
Proud to back @Tiny_Fish as they launch a new category: Enterprise Web Agents—AI agents that operate on the real web to drive outcomes at enterprise scale. As early supporters at Scale Asia Ventures, we’re excited to partner with Sudheesh Nair, Shuhao Zhang, and Keith Zhai.
Reuters just covered our launch: TinyFish raised $47M led by ICONIQ to build Enterprise Web Agents. Already running at Google and DoorDash, and backed by investors like Sandberg Bernthal Venture Partners. The enterprise web agent era starts now.
https://t.co/ZRqgtvtzEx
Reuters just covered our launch: TinyFish raised $47M led by ICONIQ to build Enterprise Web Agents. Already running at Google and DoorDash, and backed by investors like Sandberg Bernthal Venture Partners. The enterprise web agent era starts now.
https://t.co/ZRqgtvtzEx
As a firm specializing in AI-native infrastructure and applications, SAV sees a fundamental shift in enterprise software—AI-native applications are replacing traditional SaaS, delivering real-time intelligence instead of static workflows. https://t.co/6Z75YavC83
SAV (Scale Asia Ventures) empowers its portfolio companies to bring Silicon Valley’s advanced AI infrastructure, healthcare, and fintech solutions to scale across Asia, meeting the region’s significant demand for transformative technologies. https://t.co/FI1yy8Mled
SAV (Scale Asia Ventures) empowers its portfolio companies to bring Silicon Valley’s advanced AI infrastructure, healthcare, and fintech solutions to scale across Asia, meeting the region’s significant demand for transformative technologies. https://t.co/pXjqF3lUqW