Introducing Expand Fetch, a new way to scrape and crawl the web.
Your agent has never seen the web. No wonder it gets basic questions wrong.
Traditional Markdown APIs lose critical details. So we trained two System one models to change that:
Iris, a vision model that sees pages like you do, preserving tables, icons, and layouts.
X-Ray, a JSON model that uncovers the hidden data behind every page.
Every fetch also comes with a Wayback Machine. Every line links back to its source, so you can verify exactly what your agent saw.
Three products. One API.
On our benchmark of 1,094 questions across 326 challenging web pages, agents using Expand got 74% right. The next best API got 55%.
Available today at $1 per 1,000 fetches.
Try it at https://t.co/x4SDYsUX25
In one quarter, open-weight models went from about 30% to a record 78% of the tokens on Vercel's AI Gateway.
That's just the one gateway, on a record day, and of course these tokens aren't 1:1 revenue. But the direction of travel is hard to miss. When you can just download the model, the margins move to the infra and inference layer.
A token starts to cost what it costs to serve, and the value moves to whoever runs the model best: fastest, cheapest, at the quality the job needs.
For Europe, this changes the equation. As long as the best AI was a closed API, "European AI" meant renting capability from a few US frontier labs, served from their infrastructure.
Open weights change that. The models doing most of the work (the "Work Horse") can now run on hardware Europe controls, under European rules. That doesn't directly make Europe competitive on its own. Where the models come from still matters, and unfortunately Europe has very little compute to run them on (more on that at a later time). But the question has moved from "who builds the model" to "who runs it best."
How good are agents actually at CAD?
Today we release CADBench, evaluating 10 Models on 105 realistic tasks in Fusion 360
Fable 5 and Gemini 3.7 Flash are #1 with only 24.6% pass rate
there are so many levers to reduce the cost of your agents.
if you look at the traces what your agent is doing, you will see that most tokens are spend to look up information.
we have 2 choices either give the models a better tool or delegate this task to a cheaper model. but unfortunately most cheap models are very bad at finding the right information.
we already showed that mixedbread is the better tool to find evidence faster and save tokens, but still your agent had to read a lot of documents.
now we are closing the gap and releasing a smart model which can be used to delegate by your main agent.
save tokens, while still using frontier. this is a way bigger lever then model routers.
Introducing Toast 1, our first specialised search agent.
Toast 1 sets a new Pareto frontier for agentic search models.
Frontier search quality, across all domains, 12x faster, at 1/10th of the price.
โAC this, wash dryer that, US woohoo, EU boohooโ - Why are we eating this brand-warfare from the outside about us up?
Europe has the strongest precision manufacturing in the world, we have leading teams in AI, CV, robotics. Europe is a leader in Automation and Frontier Tech!
Not a single NVIDIA chip could be produced without European machines. Not a single American cloud, robotics, or deep-tech firm would operate without European manufacturing or suppliers.
But we are too humble. Brainwashed to never celebrate Europe. By outsiders and our local politicians.
Time for a change.
Europe is the birthplace of industrialization.
The home of frontier tech.
Time, we act like it.
Welcome to the real Europe! ๐ฅ๐ช๐บ
1/ Introducing Recall: Unstoppable Intelligence for AI
Recall is the foundational intelligence layer that gives millions of agents around the world the power to prove, monetize and exchange knowledge.
A new era of collaborative AI.
Testnet now live โบ https://t.co/tiBEwS0eUf
๐ Announcing Prisma Postgres โ A blazing-fast, serverless DB deployed via unikernels on bare metal with:
โ ย no cold starts
โ ย generous free tier
โ real-time events, caching & a lot more
Learn more and try it out ๐
https://t.co/ovJM3VtBHG
I'm very proud of the team for shipping this release ๐ข. We're very excited to announce the @AutometricsDev Explorer 1.0 - a developer friendly and opinionated UI to visualize Prometheus metrics. https://t.co/43OkQqC6Fw
๐๐!Breaking News!
We 're excited to announce that we just raised $30M in our latest round let by @balderton Capital with the participation of existing investors @GVteam (Google Ventures), Harpoon, System. One, and Lunar.
Read the announcement here
https://t.co/Z03LeTJ9VB