We build systems
that outlast trends.
Sourcey is an independent development studio founded by Kam Low. We've spent 15+ years building protocol-level software, real-time systems, and open source tools used by thousands. Now we build AI infrastructure. Not because it's trendy, but because it's the most consequential systems problem of our generation.
What we do
AI Architecture & Orchestration
Designing how AI systems connect to business logic, data pipelines, and user-facing products. Not chatbot wrappers. The actual infrastructure that makes intelligent systems work under real conditions.
MCP Development
Building Model Context Protocol servers and integrations. We're deep in this space because it's the interop layer AI has been missing. The bridge between models and the tools they need to be useful.
Developer Tools & Infrastructure
APIs, documentation systems, build pipelines. The unsexy work that makes everything else possible. Our open source tools are still running in production a decade after we built them. That's not a flex - it's a minimum standard.
Product Engineering
For select clients building AI-native products. We don't take every project. We take the interesting ones.
How we work
Small team, high ownership. No project managers between you and the people writing code.
We start with architecture, not wireframes. The hard thinking happens before the first line of code.
We build things that last, not things that ship fast and die. Long-term stability over short-term velocity.
We say no to projects that don't interest us.
Background
We were building real-time communication protocols and cross-platform plugin systems when the AI crowd was still doing linear regression. The infrastructure mindset isn't new for us - only the models changed.
Before AI architecture, we built LibSourcey (C++ cross-platform networking), Symple (real-time messaging protocol with WebRTC signalling), Spectacle (API documentation generator), and Moxygen (Doxygen-to-Markdown). All still maintained. All still in production somewhere.
We think in systems - biological, technological, political, psychological. That range isn't an accident. It's a single worldview applied to everything: first-principles thinking at the deepest level, whether the system is a protocol, a government, or an AI agent with a wallet.