
Founded by Ishir Vaidyanath & Kaushik Akula
Hey everyone, meet Ishir and Kaushik, the founders of Sift.
They initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, the founders created a system to analyze and evaluate every customer support interaction: human or AI.
The Sift founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.
Most companies struggle to pinpoint gaps in their customer support.
Current solutions typically require heavy engineering investment, manual oversight, and still miss critical customer friction points. And attempts to automate frequently produce costly mistakes.
Sift Flow is state-of-the-art conversational AI for customer support and anomaly detection. The system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. The team at Sift developed the industry's most robust AI stress-testing suite, rigorously evaluating agents against adversarial prompts, policy fuzzing, and complex edge cases—ensuring over 99% accuracy before deployment.
Sift Flow is seamless to implement, with their white-glove service requiring minimal engineering effort. They handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.