Polysentry is a technology company that provides industry leading data discovery, classification and analysis solutions. Founded in San Francisco, CA in 2018, Polysentry has been building and deploying mission-ready AI-based platforms that meet rapidly evolving security needs. The company’s software solutions are built for corporate and government organizations.

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies.

Pomerium builds identity and access management infrastructure for the internet. We’re helping small startups and the world’s biggest companies improve their security posture, facilitate distributed remote work, and scale their efforts globally.

Pond AI delivers custom AI agents to businesses through a network of 7k AI builders, with Pond as the platform and security layer over MCP. We're backed by Tier-1 VCs and a co-inventor of GPT.

PortSwigger makes Burp Suite, the most widely used pentesting suite in the world. The company has embraced AI to deliver agentic solutions in Burp Suite and to reorganize how the business operates, including sales workflows and recruiting pipelines. The team is onsite in a purpose-built office, five days a week, and values builders who can ship excellent work across disciplines.

Portal Innovations invests in ecosystems to support life sciences entrepreneurs in different geographies in the US. They use Stargaze, an AI-toolkit for identifying and sourcing innovation to make strategic decisions.

Portless is building AI infrastructure to enable end-to-end agentic workflows across teams. Currently AI adoption is basic (decks, spreadsheets, call summaries, dashboards). The founding AI engineer will ship high-impact agentic workflows and build reusable "Lego blocks" (APIs, MCP tools, docs) so any team can build their own workflows. This is a cross-functional, high-leverage role working directly with leadership. Example project: an inbound invoice questions agent that understands the question, pulls the right invoice, drafts a context-aware reply for a teammate to click-send, turning roughly an hour of work into ~30 seconds.

We're an early stage startup (currently 9 employees) building tools for public market analysis. We're leveraging LLMs and modern search systems to automate the finding and synthesis of information about public companies so that analysts can spend less time scouring and more time thinking.

Building a production finance model for open source

We're building the Databricks for content production, starting with post. Our orchestration engine coordinates pipelines end to end and turns post-production workflows into a persistent graph of assets and transformations, which are deterministic, verifiable, and nearly instant at scale, powered by a high-performance compute layer. We're building this AI-native from the ground up; ML inference is embedded throughout the pipeline, not bolted on. Stack: On-prem, HPC clusters, distributed storage systems, GPU pipelines, real-time video compute.