AI Native Project Memory for Architecture & Design
Archen
Architecture and design teams make hundreds of decisions on every project and lose the reasons in email. Archen keeps that context automatically and answers questions with the source attached. As Founder & CEO, I took it from a problem to an investor-backed working product.
- Industry
- AEC Technology
- Product
- AI SaaS
- Role
- Founder & CEO
- Stage
- Prelaunch
My role
I saw this problem from inside studios during seven years as an interior designer. I defined the product, built the first working version with AI-assisted development in under 8 months, then brought in a Head of Engineering for production. I still own priorities and the experience.
The Problem
Architecture and interior design teams make hundreds of decisions throughout a project, but the context behind those decisions is scattered across emails, documents, and conversations.
When information becomes difficult to retrieve, teams lose time reconstructing decisions, verifying approvals, and resolving disagreements.
The opportunity was to create a persistent project memory without introducing another administrative task.
Product Strategy & Key Decisions
From Project Management to Project Memory
Rather than building another project management platform, I focused on a different opportunity: preserving the decisions and context that traditional tools fail to capture.
Three principles shaped the product strategy:
Zero entry: Reduce the need for manual documentation by capturing information through existing workflows.
Context over storage: Organize information around decisions, approvals, and project history rather than simply collecting documents.
Intelligence over administration: Use AI to help teams retrieve relevant context and understand how decisions evolved.
AI Product Decisions
Project memory doesn't work without AI, so AI isn't a feature here; it does the filing. I made three choices around that.
Connect once: Archen reads the studio's email and drive, so nobody types anything in.
Save automatically: decisions, approvals and selections are pulled out as work happens.
Show the source: every answer points back to the email it came from, so no one has to reconstruct or re-verify a decision.
From Strategy to Execution
I translated the product vision into requirements, information architecture, workflows, and an initial application.
Using AI assisted development, I accelerated early product exploration and implementation before bringing in engineering leadership to strengthen the application for production.
Throughout development, I remained responsible for product priorities, experience design, and aligning technical execution with the original product vision.
Current Status
One of our first users liked Archen enough to also invest. The full product is built and studios are ready to onboard. Archen launches before the end of 2026. Private demos on request.