Software companies face a recurring pattern: the technology decisions that enabled early growth become the constraints that prevent the next phase. Platform architecture that worked at $10M ARR fractures at $50M. Engineering organizations that shipped fast at 30 people stall at 150. The symptoms are different each time — performance degradation, release velocity decline, mounting incidents — but the underlying cause is the same: architecture that was right for the last scale, not the next one.
We provide strategic technology advisory for software companies navigating these inflection points. Working with founders, CTOs, and boards to design the architecture, organization, and operating model that enable sustainable scale without the multi-year rebuilds that consume engineering capacity and investor patience.
Where We Focus
Platform Architecture Assessment — Independent evaluation of platform scalability, reliability, and accumulated technical debt. Findings and roadmaps designed to inform board discussions, fundraising narratives, and engineering priorities — not just technical audiences.
AI & Intelligent Systems Strategy — Platform strategy for organizations integrating AI, agentic workflows, and machine learning into existing products. Data architecture, model deployment patterns, and governance frameworks that enable responsible AI deployment without creating a parallel technology stack.
Engineering Organization Design — Structure, process, and tooling strategy for engineering teams navigating rapid growth. Team topologies, delivery frameworks, and technical leadership structures that preserve velocity at scale — because adding people to a misaligned organization makes it slower, not faster.
Cloud Migration & Modernization — Migration strategy for legacy platforms moving to cloud-native architectures. Target architecture design, migration sequencing, and execution planning that minimizes risk while delivering measurable performance and cost improvement on timelines that matter to the business.
