
Context is the moat
Tools without your persistent context only help in the moment. WorkSage builds deep context across your full work stack to help with the work itself. The longer you use WorkSage, the more it understands how you work.
WorkSage is the intelligence layer beneath the professional work stack. Learn about our mission, get in touch, or find answers to common questions.

The way professionals work has changed. Most people now work across full-time roles, side businesses, freelance contracts, and personal projects, each with its own tools, calendars, and inboxes. The tools meant to help are fragmented, and the cost of switching between them is lost focus and forgotten commitments.
So we built something different. WorkSage is the layer underneath. One context-aware intelligence layer that connects your calendar, email, meetings, documents, messaging and tools into a single persistent memory, with an AI assistant, Sage, that reasons across all of it.

Tools without your persistent context only help in the moment. WorkSage builds deep context across your full work stack to help with the work itself. The longer you use WorkSage, the more it understands how you work.

WorkSage is built for work across multiple contexts, without the compromises, burnout, or underperformance that usually come with juggling several things at once.

Tools change. Projects close. People move on. The work itself, and the context around it, should stay accessible to the person or team it belongs to.
We're building towards a world where professionals and the teams and organizations they lead have the full picture of their work without having to hold it in their head.

Co-Founder
Sogo Ogundowole is an AI and Data Engineer with over 8 years of experience and an academic background in Computer Science and Mathematics. He has led technical teams and delivered scalable AI solutions, most notably at Invisible Technologies, where he spearheaded the development of Retrieval-Augmented Generation (RAG) pipelines and agentic systems across diverse industry verticals.

Co-Founder
Michal Pawlik is a Machine Learning Engineer at Invisible Technologies with over 4 years of experience, specializing in AI, Retrieval-Augmented Generation (RAG), and agentic systems across diverse client projects and industry verticals. He holds a Master's degree in Data Science and Machine Learning from University College London (UCL), London, United Kingdom.
Tell us how you work and we'll show you what WorkSage can do for it.