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Today we’re announcing our $13M Seed round, led by Insight Partners with support from a16z a16z speedrun 🧊, Begin Capital, and Zero Prime VC. Over the past year, monthly revenue has grown 40x and we’ve integrated more than 400K models, establishing Runware as an essential service for AI teams...

41,312 views • 11 months ago •via X (Twitter)

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🚨 a16z a16z speedrun 🧊 applications are now open! we invest up to $1M in new start-ups building at the frontier - but that's just the start. beyond the investment, founders join a legendary community, work with our world-class operating team, and tap into the a16z network. details below: 1) the founder community - starting a new company is an emotional rollercoaster - being able to talk to founders on a similar journey can make it a bit less lonely - Speedrun is a tight-knit community of founders who support one another closely - providing advice, design partners, talent referrals, even investing in one another’s startups - during the program, we open up the a16z offices in SF and LA to founders as coworking space. dozens of founders work alongside each other before establishing their own offices - we have an alumni community >600 strong that come together every quarter through reunions and events at Tech Week 2) the a16z operating team - our operating team is a team of experts at the top of their field who provide specialized programs and hands-on support to founders. a few examples of how we help Speedrun founders: a) recruiting support to assemble and scale your team - direct intros to top talent in AI research, ML, full stack engineering, etc b) people support on US immigration and comp guidance for new hires / advisors c) GTM support on finding design partners and over $5M in credits on cloud, AI, and software spend d) marketing programs to build your brand and craft the perfect launch video to showcase your product e) capital networks support to refine your pitch deck and connect you to hundreds of prospective investors at demo day - many founders consider our operating team to be an extension of their own team in impact and how closely they work together 3) the a16z network - a16z as a firm has massive breadth and scale - we invest in and have networks across AI, bio/health, consumer, crypto, enterprise, fintech, games, infrastructure, american dynamism, and more - our network provides our founders an unfair advantage - it’s a rolodex they can tap into for intros to potential customers, employees, partners, and investors - providing a sense of power and reach you dont usually build until you're much farther along we know the best founders have many choices. if you’re setting out to build a generational company - we're confident you'll get unparalleled operating support, networks, & community from a16z Speedrun - all from day 0 if this sounds exciting, check out the link below!

Jon Lai

784,248 views • 11 months ago

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at a16z a16z speedrun 🧊 – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to Theresa Horne Avenir whose excellent research helped inspire some of these insights.

Kenan Saleh

15,892 views • 8 months ago

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners (formerly TPG Capital), with participation from Lightspeed and Notable Capital. 🚀 At PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over now. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since. ⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders and researchers across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more. ✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

Anand Kannappan

40,344 views • 1 month ago

Excited to announce Payman has raised a $3M pre-seed to pioneer AI to Human Payments! 🤖 + 🧑🏽 We’re proud to be backed by Visa, Coinbase Ventures 🛡️, Boost VC, Deepwater Asset Management, Spartan Group, Untapped Capital, Theory Forge VC and other awesome investors! With Payman, AI can pay humans to help them complete tasks like marketing ones shown in the video. Our Vision We believe AI and Humans will always work together. Giving AI the capability to work with humans involves giving them access to capital, and access to humans. Payman’s platform makes it easy for AI to pay humans for what it needs. This includes information, tasks that need to be completed, and so much more. We believe a key reason that AI Agents have struggled is because they aren’t able to ask for help from humans and incentivize them to help out. Building out the AI-Human payments infrastructure solves this and it’s why we’re so excited about what we’re building. Today 100% of the global economy is human to human payments. AI will start to eat a big chunk of that and Payman will be the rails by which it does so. How it’s going Since announcing Payman a couple of months ago we have 15,000+ people on the waitlist ready to use the product. In the meantime we’ve hired a stellar team to build out the production version of the product and have started onboarding Developers and Human’s to the platform this week. If you’re a developer and you'd like to get access, check out our website and sign up for early access. Additional Rockstar Investors In addition to the above investors we’re also proud to be backed by Protofund, Systemic Ventures, MetropolisDAO, and our awesome angel investors, Paris 2024 Olympic Gold Medalist Viktor Axelsen, Devin Walsh, kennethng.eth, Erin Koen, and many more!

tyllen

143,497 views • 2 years ago

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners, with participation from Lightspeed and Notable Capital. 🚀 At Patronus AI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since.⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more.✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

PatronusAI

94,870 views • 1 month ago

Multi-agent systems offer incredible potential and unprecedented risks. How do you solve for observability, failure mode analysis, and guardrailing in the era of agents? Today, we’re announcing our Agent Reliability platform to observe, evaluate, guardrail, and improve agents at scale. You can get started with the complete platform for trustworthy agentic AI today for free, and here’s how we’re solving some of the biggest challenges in agent reliability: - Observability redesigned for agents Trace views collapse under complex workflows, so we created the Graph View, Timeline View, and Conversation View to offer rich, intuitive visualizations of agent decisions, tool calls, and conversation flows. This multi-dimensional approach enables teams to pinpoint exactly where and why agents deviate or fail. - Automated Failure Mode Analysis with our new Insights Engine Our Insights Engine ingests your logs, metrics, and agent code to automatically surface nuanced failure modes and their root causes. But knowing the problem is not enough; you need to know how to fix it. Insights Engine delivers actionable fixes and can even apply them automatically. With adaptive learning, your insights become smarter and more relevant as your agents evolve. - Evaluating Agents Across Multiple Dimensions Agentic systems interact across complex pathways, and evaluating their performance requires new metrics that reflect this increasing complexity. To deliver comprehensive agentic measurements, we’ve added more out-of-the-box agent metrics like flow adherence, agent flow, agent efficiency, and more. For specialized domains and unique workflows, custom metrics powered by our new Luna-2 small language models can be rapidly designed and fine-tuned for your specific use case. - Real-Time Guardrails Powered by Luna-2 As AI agents become more autonomous and complex, failures like hallucinations or unsafe actions increase dramatically. Without real-time guardrails, these errors will hurt your user experience and brand reputation. Our Luna-2 family of small language models is purpose-built to provide low-latency, cost-effective guardrails that actively stop agent errors before they happen. With support for out-of-the-box and custom metrics, Luna-2 enables enterprises to enforce safety, compliance, and reliability at scale. Enterprises running hundreds of agents and processing hundreds of millions of queries daily already rely on Galileo’s Agent Reliability platform to protect their users, safeguard brand trust, and accelerate innovation. Agent Reliability is available starting today. Try it for free and experience the new standard in AI reliability. Learn more below 👇

Galileo

1,276,298 views • 1 year ago