Building an AI copilot for high-performance teams

Problem

Everyone is waiting for AGI to understand their business. But it never will.

Because:

• Decisions hide in meetings, Slack, email, and task tools.
• Context is scattered across Notion, Drive, and docs.
• OpenAI, Anthropic, and others change weekly—no safe single bet.

Solution

Indigo solves problems from needle-in-haystack to strategic analysis.

Indigo connects your entire stack—meetings, Slack, email, tasks, and knowledge bases—then separates live decision streams (hot) from institutional memory (cold). We continuously distill and index insights in the cold corpus with citations, and a deep, model-agnostic research agent runs requests across both to answer, draft, and take action.

Indigo meets users where they work, not in another browser tab. One system for meetings, assistants, and commands on macOS and Windows.

I created the AI OS Design System for Indigo, covering text, color, and effect styles; reusable UI components; and scalable variables for color, spacing, and typography. The system supports seamless switching between light and dark modes, as well as theming with different primary colors and typefaces.

Because most AI productivity products share similar interaction patterns, the AI OS Design System can be white-labeled or licensed by other AI startups. It’s already trusted by teams such as GoAbacus to power their product UX.

I designed Indigo's marketing websites and all brand assets, including logos, brand guidelines, socials, and animations.