Full-Stack Data Platform Engineer

We led Reflow’s $15M Seed to build the system of record for operational intelligence — bringing visibility and measurable ROI to enterprise AI automation.

Reflow launches following a $15M+ seed round focused on operational visibility for enterprises. The company plans to scale its platform to more mid-market and enterprise customers while expanding workflow and workforce intelligence capabilities to help organisations understand work processes before applying automation or AI. Reflow has closed a seed funding round of more than $15 million to support ongoing technology development and broaden access to its workflow and AI automation intelligence, alongside the launch of its workforce and workflow intelligence platform for enterprise customers. As organisations adopt AI, many are able to measure outcomes but have limited visibility into the processes that produce them. As operations scale, this can make it more difficult to assess capacity, identify automation opportunities, or evaluate the impact of AI initiatives. Reflow is designed to address this challenge by making operational work observable. The platform provides real-time visibility into how work moves across people, systems, and processes, without relying on time tracking, self-reported data, or complex integrations. By converting operational activity into structured data, it enables organisations to identify workflows suitable for automation and assess the results of those efforts. The platform takes a system-level approach, observing workflows end to end to surface task flows, bottlenecks, and process deviations. This supports more informed decisions around automation and optimisation and is suited to mid-market and enterprise organisations with large operational teams performing high-volume, computer-based work across functions such as customer support, accounting, legal, and compliance. Reflow is built to support understanding of workflows and capacity rather than monitoring individual employees. The platform incorporates privacy-focused design principles and enterprise-grade controls, including configurable metadata collection and flexible visibility settings. Founded by Ugur Kaner, a founder with Turkish roots now based in the United States, Reflow builds on prior experience in developing technology platforms for business users. Commenting on the launch and funding, Kaner said: Reflow gives leaders a clear, shared view of how work actually happens, so automation decisions are grounded in reality, not assumptions. In an AI-driven world, that visibility becomes essential infrastructure. Early users of the platform have reported improved visibility into operational capacity, more efficient resource allocation, and clearer identification of workflows suitable for automation. Looking ahead, the company plans to scale its platform to support a broader set of mid-market and enterprise customers while continuing to invest in product development. Its focus is on expanding workflow and workforce intelligence capabilities that help organisations better understand how work is performed before applying automation or AI, with the goal of establishing the platform as foundational infrastructure for AI-driven enterprise operations.