illumi

illumi serves as a unified visual context layer designed for teams working with AI models. Instead of scattering information across separate tools and individual workflows, illumi creates a shared multiplayer canvas where teams can seamlessly integrate language, image, and reasoning models into their established processes. This approach solves a critical problem in AI-assisted work: context fragmentation that leaves important information trapped in people's heads or siloed within individual applications. The platform enables teams to leverage frontier AI models while maintaining visibility and control over their knowledge work. By providing a centralized space for model integration, illumi helps teams collaborate more effectively on complex tasks that require multiple AI capabilities working in concert. The visual canvas format makes it easier for team members to understand what models are being used, how data flows between them, and where decisions are being made in the workflow. illumi's design prioritizes the elimination of context loss that typically hampers AI agents and automated workflows. When context remains fragmented, agents struggle to deliver meaningful results because they lack the full picture of team knowledge, priorities, and existing processes. By consolidating context in one collaborative space, illumi enables more intelligent decision-making and better alignment across teams. This makes it particularly valuable for organizations scaling their AI adoption beyond single-user experiments into team-based operations.