Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Shaped is a New York-based AI company that builds a real-time relevance engine for recommendations, search, and agent retrieval. Its managed platform, Shaped Cloud, combines embeddings, machine-learning models, and fresh behavioral data to return personalized results in under 50 milliseconds, letting product and engineering teams add for-you feeds, hybrid search, and personalized discovery without building ranking infrastructure from scratch. Founded in 2021 by Tullie Murrell, Daniel Camilleri, and Shai Bruhis, the company raised an $8M Series A led by Madrona in 2024 and was acquired by live-commerce marketplace Whatnot in July 2026.
A field guide to Generative Engine Optimization (GEO): the practice of structuring your content and earned-media footprint so ChatGPT, Perplexity, and Gemini cite your startup as a source. It explains why citations equal retrieval trust, the platform-specific mechanics, a step-by-step playbook, and the single biggest mistake founders make — publishing only when they raise. It closes with YesPress as the engine that runs GEO on a continuous schedule.
Tullie Murrell is the CEO and co-founder of Shaped, a New York startup building a real-time retrieval engine for search, feeds, and agents. Before Shaped, Murrell spent about five years at Facebook AI Research, where he created PyTorchVideo, the leading open-source library for video understanding, and was an early core contributor to PyTorch Lightning, a training framework now used by millions of developers. The video models he led powered Facebook newsfeed ranking and Instagram Reels. In 2021 he left big-tech research to package that same personalization machinery into a self-serve product for companies without armies of ML engineers. Shaped went through Y Combinator's W22 batch and raised an $8M Series A led by Madrona Ventures in July 2024.
Superlinked is a San Francisco-based infrastructure company building the 'vector computer' - a compute and data engineering framework that turns complex enterprise data into vector embeddings for Search, RAG, Recommendations and Analytics. It now also ships an open-source Inference Engine that lets agent teams self-host every model their agents call, claiming roughly 50x cost savings vs hosted per-token APIs.