Cubby is built for the messy reality of research: information lives across articles, PDFs, videos, podcasts, and scattered notes, and making sense of it usually means juggling many tabs and tools. Cubby pulls all of that into a single private workspace where teams can save content from the web or their devices, annotate it, and let AI help them digest it. Audio and video are automatically transcribed, and the AI can generate summaries and answer questions across the collected material.
The product is explicitly collaborative. Instead of circulating documents over email, teams work together inside shared cubbies in real time, building a common base of annotated sources and synthesized insights. Cubby integrates with tools like Google Drive and Notion so research can be imported and exported into existing workflows, positioning it as a layer between raw source material and the documents teams ultimately produce.
Cubby's AI features are aimed at synthesis rather than just storage. By generating summaries, surfacing answers, and transcribing multimedia, it reduces the manual effort of reading, watching, and listening through large volumes of material. This makes it useful for researchers, analysts, journalists, students, and any team that needs to turn a pile of sources into structured understanding.
The company, based in New York City and founded in 2023, raised about $1.45 million in a seed round. The funding supports development of its collaborative, AI-assisted research workspace as it competes with note and knowledge tools that lack Cubby's emphasis on multimedia ingestion and real-time team synthesis.
For teams that spend their days gathering and making sense of information, Cubby offers a focused alternative to generic note apps: a shared space to collect every format of source, transcribe and annotate it, and use AI to synthesize the whole into something usable.