Many iterations. One conviction.
We have changed the product, the market, and the way we build. The reason has stayed the same: who we become is of our own choosing.
A company built by learning.
Ideas failed. Launches fell flat. Customers changed our assumptions. Each turn taught us to connect technical capability to a problem worth solving.
Start with what people said.
The idea was simple: combine accurate transcripts with useful summaries. Make information easier to capture, understand, and use.
Build the first prototype.
We used frontier technology and large language models to turn that idea into a working product. The first challenge was reliable ingestion: getting the information right.
Launch. Hear silence.
We launched and found no traction. Building the product had not created distribution. We had to learn to sell, choose a customer, and solve a specific need.
Find a first audience.
We focused on students and began to gain traction. Their needs showed us that useful context goes beyond recordings—to documents, spreadsheets, PDFs, videos, images, databases, and CRM systems.
Push the tools. Find the limits.
Our founder’s intensive use of Claude Code sharpened our interest in long-running execution, memory, and feedback loops. Building faster made the missing pieces more visible.
Rebuild the data foundation.
We developed a new ingestion and retrieval pipeline for different kinds of data. Organizing, interpreting, and retrieving context became a core part of what we could offer.
Move from answers to execution.
Business pilots made the next gap clear: insight needed action. As OpenClaw gained attention, we built our own harness, drawing lessons from Claude Code, OpenClaw, and Hermes. The focus became business outcomes, efficient context, orchestration, and collaboration between agents.
Capability met complexity.
We served customers with very different needs. We could tackle a wide range of work, but tailoring everything made the business difficult to scale.
Choose who we serve.
Near the end of the NEXT accelerator program, we recognized that serving customers well also means choosing the right customers. We focused on ambitious founders with useful infrastructure—or the willingness to build it and adopt new technology.
Business outcomes, from day one.
We bring together statistics, quantitative analysis, data ingestion, interpretation, and adaptable data layers. Then we put agents to work toward measurable results. YOLO and our manufacturing work show that direction in practice.
Explore the case studies
Why I built YouWo.
I began with a question about memory. I stayed because the deeper question was freedom: what would help more people choose who they become?
Read the founder's noteCome build the future with us.
We are looking for ambitious founders, builders, researchers, and partners who learn from reality and care about what comes next. Help write the next chapter.
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