Ramya Ravichandar is an operator and advisor specializing in AI systems deployed in complex, real-world environments across PropTech, CleanTech, and Industrial SaaS. Her work sits at the intersection of software, physical infrastructure, and field operations, where performance is constrained by sensor reliability, OT integration, contract structures, and real-world user behavior.

She has led and shipped AI-enabled products in environments where standard enterprise software assumptions break down. Her experience includes leadership roles at JLL and work through FogHorn’s acquisition by Johnson Controls, where she saw firsthand the gap between product promise and operational reality.

Ramya works with investors on technical and operational diligence across engineering, product, support, and service delivery. She identifies where systems are likely to fail under real-world conditions and surfaces risks that are often missed in traditional software diligence.

She advises investors and portfolio companies through execution risk assessments, product operating system design, and interim product leadership, helping teams move from pilots to production systems that hold up in the field.

Ramya brings a direct, independent perspective to diligence, helping investors understand not just what has been built, but whether it will perform under real-world conditions and scale.