Imagine AI is a San Francisco startup in Y Combinator's Fall 2025 batch that builds B2B content pipelines for sales-led companies. It creates deep AI personas from a team's transcripts and interviews, then produces LinkedIn posts, strategic comments, and SEO blogs in each person's voice, with a dedicated content engineer per account. The goal is 'content market fit' - content optimized for qualified pipeline instead of vanity metrics.
SelfMade is a New York-based AI creative company behind Skipper, a creative intelligence platform that scrapes customer reviews, Reddit threads, Amazon feedback and social comments to build audience personas and generate on-brand performance ads at scale. Originally founded in 2015 as an Instagram commerce app, the company pivoted through agency work before rebuilding around AI-driven creative production for e-commerce and direct-to-consumer brands.
CharacterQuilt is a San Francisco AI-native marketing company that turns a written brief into a fully designed, on-brand campaign deployed straight into the tools a team already uses - HubSpot, Marketo, LinkedIn Ads and more. Built by founders who first ran a full-stack marketing agency, its computer-use agents handle the roughly 80% of campaign work that is operations: pulling and enriching audience data, generating creative against brand guidelines, and pushing it live. Work that used to span three agencies, ten tools and six weeks is designed and shipped in about an hour, with a human reviewing and approving every step.
Native AI is a New York-based market intelligence platform that uses generative AI to build 'Digital Twins' - AI-powered proxies of real consumers assembled from reviews, interviews, surveys and other first- and third-party data. Brands, agencies and market research firms use the platform to chat with clones of their target audience, track products and competitors across the web, and forecast consumer reactions in real time, compressing research timelines that once took weeks into minutes. Founded in 2019 by Frank Pica and Sarah Sanders, the company raised a $3.5M seed round in 2023 and says clients have generated over 275 million Digital Twins to date.
Personal AI (legally Human AI Labs, Inc.) builds an identity-based memory layer and Personal Language Models (PLMs) - compact, individually trained AI models that capture a person's or organization's knowledge, voice, and decision-making. Instead of a single generic chatbot, the platform lets people and enterprises create AI personas trained on their own data, keeping ownership and privacy with the user. Founded in 2020 and based in San Francisco, the company positions its smaller, memory-grounded models as a more accurate, lower-cost, privacy-first alternative to centralized cloud LLMs for sales, healthcare, legal, HR and knowledge work.