Canvass Labs was founded in 2017 by a team of deeply technical engineers with decades of combined experience in AI, machine learning, and mathematical approaches to software systems. Backed by the U.S. SBIR program, we develop advanced tools that apply these techniques to real-world software challenges — particularly in the areas of security, refactoring, and technical debt reduction.
Our mission is to make modern software ecosystems more secure, modular, and sustainable. By combining AI-powered automation with a deep understanding of software architecture, we help organizations improve code quality, reduce complexity, and build with confidence.
Canvass Labs is a recipient of multiple U.S. Small Business Innovation Research (SBIR) awards, including Phase I and Phase II funding. These competitive, merit-based grants support our R&D in applying AI and machine learning to critical software challenges in cybersecurity, code refactoring, and system modularity.
Our SBIR-backed work focuses on technologies that not only improve software resilience in defense and national security contexts, but also translate to commercial developer workflows. This support enables us to move fast, stay deeply technical, and solve real problems at the source code level.
Canvass Labs is currently in stealth mode as we assemble our core team and lay the groundwork for product development. We officially begin operations in September 2025, backed by SBIR funding and a strong technical roadmap.
While we’re not launching a public product just yet, we’re actively exploring early collaborations and custom client work with partners who share our vision. If you're interested in working with us at this early stage, get in touch — we’d love to hear from you.
Please email us at: jihosong@canvasslabs.com for more information.
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