Record it once. Your whole team can run it forever.
Shadow watches your experts do real work across apps, browsers, and spreadsheets — then turns each demo into a reviewable, repeatable workflow with approvals and audit trails built in.
01 — Problem
Critical work is trapped inside people's heads
Tribal knowledge
The expert leaves, the knowledge leaves with them. New hires take months to ramp.
Stale SOPs
Documentation goes out of date the moment it's written. Nobody maintains it.
Automation is too expensive
Traditional RPA takes months to deploy and six figures per workflow. By the time it ships, the process has already changed.
02 — How it works
Show Shadow how the work is done.
One demonstration becomes a reviewable workflow, a repeatable capability, and a permanent part of how your company operates.
Capture
Your expert does the task once across any combination of apps — browser, desktop, spreadsheets, internal tools. Shadow watches the screen, the clicks, the context, and the explanation.
Structure
Shadow turns the demo into a Skill (a reusable, runnable workflow your whole company can use): documented steps, decision rules, input fields, validation checks, and approval gates where humans need to weigh in.
Reuse
Anyone on the team runs the Skill on demand. Every run is logged. Every correction makes it better. The Skill stays even when the expert leaves.
03 — Product
One demonstration becomes an entire capability.
Capture
Works wherever your team works — browser tabs, desktop apps, spreadsheets, PDFs, internal tools. No integrations required.
Extract
Turn messy demonstrations into clean workflows with steps, branching rules, and required inputs.
Review
Decide where humans must weigh in — before a payment, an external send, a deletion, a customer-facing action.
Run
Run with full visibility. Every action logged, every decision traceable, every exception flagged.
Library
A growing library of how your company actually operates — owned by you, not stuck in someone's head.
04 — Team
Two years researching human-AI workflows. Now we're shipping it.
Uzair Ahmed
Co-founder & CEO
- — KAIST — B.S. CS + Business Tech Management
- — Co-author, IMWUT/UbiComp 2024
- — Shipped 70B-class RAG system; 3× throughput
Quang-Minh Nguyen
Co-founder & CTO
- — KAIST — M.S. Data Science
- — Author, ACL Findings 2025 — LLM stance detection
- — AI interpretability & safety (EACL 2026, EMNLP 2025)
05 — Join
Closed beta — Q3 2026
We're working with a small group of design partners to shape Shadow around real workflows. If you run an ops, finance, or customer team where critical knowledge lives in a few people's heads, we'd like to talk.
Limited spots. Hands-on onboarding with the founders.
Got it — we'll be in touch.