The Redpoint InfraRed 100 is now live.
These are the companies building the infrastructure that powers everything happening in AI right now, from world models and agent runtimes to the sandboxes, databases, and security tools agents depend on.
Congratulations to this year's honorees!
Read the full 2026 InfraRed Report: our state of the union on AI and cloud infrastructure 👉 https://t.co/Y1y94ZwI5B
Shoutout to the partners who made this possible – @temporalio , @p0 ,@vercel , @elastic , @OpenAI , @AnthropicAI and others whose infra is powering the execution layer underneath.
Building at the frontier means standing on serious technical shoulders.
Cool release from @p0. I think this use-case (agents paying content creators for access via @mpp) will be very big. Micropayment walls haven't worked (as Clay Shirky anticipated many years ago) because of human cognitive overhead, but agents can make arbitrarily granular determinations without decision fatigue.
Any tool-calling model on OpenRouter can call web search and web fetch agentically.
The model decides when to search, what to search for, and how many times.
We've added @p0 as a new web search provider. Learn more: https://t.co/dDKZ24VcqN
Today, we’re announcing the general availability of the Parallel Monitor API.
The web is shifting from pull to push, and agents are coming online. This release marks a major step towards a more proactive model, where the web pushes updates directly to your background agent.
Monitor now includes:
- Lite and Base processors
- Event streams and snapshots
- Rich attribution (Basis) on every event
- Advanced domain filtering
- Interactions for persistent follow-on research
the 9 easter eggs we hid in this website, ordered from level 1 to 1000 ↓
a note on the machine: the IBM 5153 (1984) was the first color monitor for the IBM PC, and a glimpse of what personal computing would become
see it *in person* at https://t.co/WlKyiCkoQ6
We’re thrilled to be partnering with @useactively to power always-on monitoring for their Per-Account Agents™
Using a combination of Parallel’s Monitor and Task APIs, millions of Actively agents continuously and autonomously track and act on the complex signals their GTM customers rely on to move accounts through the funnel.
Customers using Actively with Parallel’s web intelligence APIs report:
- 23% higher win rates
- 25% increase in revenue per rep
- 2x conversion rates
- 2x faster rep ramp time
When we evaluated agentic web search providers, it was clear that the best solution wasn't just the fastest, or the cheapest. It's a balance of token use, total trajectory latency, and net new information that language models don't already know. Congrats to @p0 on a solid product and some awesome technology.
there's a lot of chart crime and eval hacking done in AI these days, which is why my favorite tests are when we win on a customer's production traffic benchmark we've never seen
the most sophisticated companies like @NotionHQ understand how to measure quality
This interactive IBM 5150 demo is so insanely cool holy shit. The knobs work on the screen too! I'm in love.
@p0 pls let it boot into BASIC and let me do some scripting
The most sophisticated teams, like those at @NotionHQ, understand the detail and rigor that go into evaluating the quality of web search for their agents, and how much it matters to the experiences they're building for their users.
We look forward to more knowledge sharing and collaboration with @sarahmsachs' team!
When we evaluated agentic web search providers, it was clear that the best solution wasn't just the fastest, or the cheapest. It's a balance of token use, total trajectory latency, and net new information that language models don't already know. Congrats to @p0 on a solid product and some awesome technology.