Redpoint

We are honored to partner with Cam, Ned, and John.

Aaru is building a platform that simulates and predicts human behavior via agents, ultimately helping organizations make faster, more informed decisions. With Aaru, teams can run infinite "what if" scenarios and model how populations are likely to respond across a range of possible futures.

When @loganbartlett and Enzo first met the @aaruHQ team, they immediately sensed that something special was happening. The combination of the team's clarity of thought, the customer love we heard, and Aaru's ability to fundamentally rethink how organizations conduct customer research was exactly what we were looking for.

@poolsideai 👏👏👏

Today we’re releasing Laguna XS.2, Poolside’s first open-weight model. It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks. Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0. Links 👇 Weights: huggingface.co/poolside/Lagun… API: platform.poolside.ai Blog: poolside.ai/blog/laguna-a-…

@eisokant up, uP, UP!! Congrats team!!

Read about it here: Announcement: poolside.ai/blog/introduci… Deep Dive Blog Post: poolside.ai/blog/laguna-a-… Try it here: pool: poolside.ai/get-started Shimmer: shimmer.run Access it here: Hugging Face: huggingface.co/poolside/Lagun… API: platform.poolside.ai OpenRouter: openrouter.ai/provider/pools… Baseten: baseten.co/library/laguna… Ollama: ollama.com/library/laguna…

Today we’re shipping Laguna M.1 and Laguna XS.2 – our first public models. We’re also shipping our agent harness and a preview product experience. Both models were trained from scratch on our own stack: data pipelines, training infrastructure, and agent RL.

We're grateful to be partnering with the Golden Child team.

The team around them includes a head chef from Goldbelly, one of the country's leading board-certified vet nutritionists, and a world-class supply chain leader who knows how to turn an ambitious food vision into something you can actually deliver at scale.

We're ecstatic to be leading @joingoldenchild's $25M Series A. Golden Child is building something different: a fresh food system designed from the ground up.

Congratulations to @drinkzima, @jamiedavidson, and @cmerrick and the entire @ExploreOmni team on their $120M Series C. Enterprise teams have long struggled to get trusted answers from their data. Connecting AI to business data requires a governed foundation that legacy BI tools and one-off AI wrappers can't provide. Omni gives these teams a semantic model that powers dashboards, spreadsheets, and AI queries from the same source of truth, so every answer is consistent, permissioned, and verifiable. Having partnered with Omni since their Series A, we've seen firsthand how Colin and the team have built for where data work is actually heading. From dashboards to agentic analytics across Claude, ChatGPT, Cursor, and VS Code, Omni is becoming the context graph that makes enterprise AI trustworthy. We are excited for what's ahead! More here: omni.co/blog/omni-seri…

@omni @ICONIQCapital @Theoryvc @firstround @drinkzima @cmerrick @jamiedavidson Congrats team 👏👏😊

Today, we're announcing a $120M Series C at a $1.5B valuation, led by @ICONIQCapital with participation from @Theoryvc, @firstround, @Redpoint, and GV. Read the full note from our CEO, Colin Zima 👉 bit.ly/4sRDOsj

Always enjoy getting to chat with @swyx on our annual cross-episode with @latentspacepod on the state of AI. We hit on what’s shifted, what surprised us and what’s next. We covered: ▪️ Whether AI infrastructure has finally stabilized ▪️ Implications of agents buying developer tools ▪️ The AI coding wars ▪️ The foundation model vibe shift ▪️ Why Swyx reversed his view on open models ▪️ When to train your own model ▪️ What's top of mind for the best AI engineers YouTube: youtu.be/A_7WafI9bhE Spotify: bit.ly/3QHcCix Apple: bit.ly/4eJERaa 0:00 Intro 1:17 What the Top AI Engineers Are Thinking About 2:13 Has AI Infra Finally Stabilized? 6:39 When Does Doing RL In-House Make Sense? 11:26 Why Selling Dev Tools to Agents is Different 17:18 AI Coding Wars 29:04 Consumer AI Plateau 30:22 Codex vs Claude Code 44:52 Future of Open Models

@dan_lahav Congrats team 👏👏

Excited to share that Irregular has been ranked #1 on Calcalist's 50 Most Promising Startups list!

Congratulations to @MikeMonovoukas, Lee Smith, and @r__coe_ , and the entire @AcuityMD team on their $80M Series C! Commercial teams have long struggled with fragmented data and limited visibility. Developing and commercializing medical devices requires a unique approach to relationship building that spreadsheets and traditional CRMs can’t address. AcuityMD gives these teams the insights to understand where and how to sell, helping accelerate the adoption of life-changing technology. Having partnered with AcuityMD since their Series A, we've seen firsthand how their approach and the thoughtfulness of the team have been the right way to service the market. From pre-commercial to enterprise, AcuityMD empowers teams to focus their commercial efforts, operate with greater precision, and grow revenue across the product lifecycle. We are excited for what's ahead!

We’re thrilled to be co-leading Dome System’s $14M Seed alongside Bessemer Ventures and with participation from Mango Capital. Congratulations to @davidmcj, Marc Holmes, and the entire Dome Systems team! As enterprises rapidly deploy agents across cloud platforms, data systems, and SaaS tools, there’s not a consistent way to govern and secure what’s being built. We’re hearing from CISOs and enterprise leaders that today feels like the “wild west.” Dome Systems builds the infrastructure layer that sits above the entire agentic estate, regardless of which LLMs or agent frameworks developers are using. This gives security and ops teams the visibility and policy controls they need to let AI actually work inside the enterprise. We are grateful for our longstanding relationship with Dave and Marc. When Dave ran HashiCorp, we had a front-row seat to how he operates: his humility, first-principles thinking, and systems-level approach kept the company one step ahead of challenges. He and Marc built something genuinely lasting there, and we truly believe the work they did translates directly into what they're now building for agents. It's rare to find founders with both the enterprise credibility and the operator instincts to own a category. We're thrilled to be partnering with Dave, Marc, and the Dome Systems team from day one 🎉.

OpenAI's Chief Scientist, @merettm, on the continual learning wave: frontier labs are already building this into the core of the technology. The entire premise of scaling was to create systems that learn in context. Jakub says continual learning is not some separate missing piece, but “exactly what we’re working toward.”

At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: youtu.be/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire