Medullar

Medullar positions itself as the safe alternative to dropping work into public AI tools. Its core promise is using powerful large language models without exposing sensitive or proprietary information: searches run across 70+ connected applications at once, with no practical limits on file size, volume, or complexity, and the underlying data is described as end-to-end encrypted and never moved or stored on third-party model infrastructure.

Beyond search, the platform is built around the idea of a private "AI Space." Users can drag and drop or auto-capture documents and data, then treat that collection as an AI workspace where teams refine research, automate updates to key workstreams, and align on trusted sources. Collaboration features include inviting collaborators and managing permissions, so multiple people can work inside the same knowledge context with full oversight of every workflow.

Medullar targets professionals and consultants who handle high-trust material — legal e-discovery, sales research, strategy refinement, stakeholder engagement, virtual focus groups — and markets itself as enterprise-grade AI infrastructure without enterprise-level cost or engineering overhead. Access is arranged through a demo booking rather than self-serve checkout, which fits its consultative, business-facing positioning.