Mattermost is an open-source, self-hostable collaboration platform built for organizations that cannot put their conversations in someone else's cloud. Started as a game studio's internal chat tool and open-sourced in 2015, it grew into the leading self-hosted alternative to Slack and Microsoft Teams, combining channel messaging, voice and screen sharing, incident-response Playbooks, and integrated AI agents. Its customers skew toward defense, government, financial services, and technology organizations - from the U.S. Air Force to Uber - that need data sovereignty, air-gapped deployment, and government-grade security.
Matroid is a Palo Alto computer vision company that lets anyone build, train, and deploy custom object detectors without writing code. Founded in 2016 by Stanford professor and former Databricks founding-team member Reza Zadeh, its platform turns ordinary camera feeds into searchable, alert-generating systems that spot objects, people, defects, events, and safety violations in real time, across cloud, on-premise, and edge deployments. Matroid is used across manufacturing, aerospace, automotive, electronics, and video security to automate quality inspection and monitoring.

ZeroEntropy is the AI infrastructure company fixing the broken retrieval layer of modern AI applications. Founded in 2024 by Ghita Houir Alami (CEO) and Nicholas Pipitone (CTO), the San Francisco–based startup builds rerankers, embedding models, and end-to-end search infrastructure that outperforms Google, OpenAI, Cohere, and Voyage on public benchmarks. Backed by Y Combinator (W25) and a $4.2M seed round led by Initialized Capital, ZeroEntropy's products — zerank-2, zembed-1, zsearch, and ze-onprem — are used by enterprises including Assembled (serving Stripe, Canva, Robinhood, and Notion). The company's proprietary zELO training methodology, derived from chess Elo ratings and the Thurstone statistical model, produces models with calibrated relevance judgments that binary labels cannot replicate.