News: Neion Bio announces their $23M Series A led by @caffeinatedcap! Neion engineers chickens to lay eggs that produce complex biologic proteins, in days, at a fraction of what a traditional facility costs to build. The why goes beyond cost. Resilient, domestic supply of critical medicines is a national biosecurity question now, and this is one of the few teams actually building toward it. Proud to deepen our relationship since day one with Dimi Kellari, Sam Levin, and the team. More to come! Read the story in @endpts in comments.

News: Announcing Basata's $21M Series A There is perhaps no space more in need of the benefits of AI agents than healthcare. In such a consequential space, the decisions of "what" and "how" to automate are paramount. Basata is building differently, by showing up, sitting with the healthcare administrators doing the work and building around what they actually need. That empathy compounds: Serving 500k patients nationwide (100k in the past month alone!). Today we're announcing Basata's $21M Series A in @TechCrunch! Read more about our conviction in Basata here 👉 basisset.com/insights/basata…

Perspectives: Investing in the Open Source Agent Stack (part 2 of 2) The agent era structurally favors open source and it's creating opportunities for founders and investors alike, both in the the infrastructure beneath AI, and in the products built on top of it. Below AI, tools are emerging across security, reliability and agent-native primitives. Above AI, an application layer is emerging, resulting in products that combine models, harnesses, and user experience to own particular workflows or audiences. These layers reinforce each other. As more companies adopt open-source agents (above AI), the demand for security, reliability, memory, and primitives (below AI) grows. As below-the-AI infrastructure matures, it lowers the barrier for more application-layer products to reach production quality. This is the flywheel. Open-source models and harnesses commoditize the foundation. Application-layer companies specialize for audiences. Infrastructure companies make the whole stack reliable. Each layer accelerates the others. The agent era is creating an enormous new market. The companies that win will be the ones that solve the hardest problems at each layer of the stack, for both open and closed ecosystems, with the kind of operational depth that no LLM can generate from scratch. If you are building at any layer of this stack, we would love to hear what you are working on. Check out the full piece from @_changxu in the comments.

Perspectives: The Future of Agents is Open Source (part 1 of 2) The agent era rewards systems over single models, and those systems reward the control that open models bring. The more agentic software becomes, the more valuable openness becomes, not because open source is ideologically pure, but because modular systems compound. As agent harnesses mature, work is decomposing into reusable primitives. Planning. Exploration. Context compaction. Code editing. Bash execution. Verification loops. Memory writeback. Error recovery. It's quickly becoming clear that the best model per primitive is not the best model overall. And having full control over prompts, context and inference, coupled with the ability to fine-tune on your workflows with open models, boosts performance and radically reduces costs. Check out the full piece from @_changxu below.

News: @parasail_io announces their latest $32M Series A Parasail is building the world’s fastest, most cost-efficient AI inference network. We knew they were onto something based on the sheer number of companies that came to us and told us about why they were switching workloads to Parasail. Today Parasail hosts GPUs in 15 countries and generates over 500 billion tokens a day. Read more about Parasail in their TechCrunch feature 👉 techcrunch.com/2026/04/15/pa…