Reflow

Reflow has developed a workforce and workflow intelligence platform that provides enterprises with visibility into their operational processes to optimize AI and automation investments. Founded by Ugur Kaner, who previously co-founded Collective, the company aims to address the challenge businesses face in understanding how work is actually performed across teams and systems. This experience with large operational workforces highlighted the difficulty in identifying where automation could yield the highest impact.

The company officially launched its platform after securing over $15 million in seed funding in February 2026. This capital is intended to accelerate technology development and expand the platform's reach to more enterprise customers. Reflow is headquartered in San Francisco and is privately held.

Reflow's platform is designed for mid-market and enterprise organizations with large, computer-based operational teams in sectors such as customer support, accounting, legal, and compliance. It transforms operational activity into structured data, offering real-time visibility into task flows, bottlenecks, and process deviations without requiring complex integrations or manual time tracking. This allows business leaders to make data-driven decisions about where to automate, how to optimize processes, and ways to improve capacity. The platform provides a holistic, system-level view of operations, a departure from traditional tools that focus on individual productivity monitoring. An emphasis is placed on a privacy-first design, focusing on understanding systems rather than monitoring individual employees, with enterprise-grade controls like SOC 2 Type 2 compliance. Early customers have reported significant returns, with one finance leader noting a $1.2 million saving in two months by using the platform to prioritize improvements.

Keywords: workflow intelligence, workforce intelligence, AI automation, operational visibility, process optimization, automation ROI, enterprise software, business process management, operational efficiency, task flow analysis, bottleneck identification, data-driven decisions, SOC 2 compliance, Ugur Kaner, enterprise operations