Sift Flow: The World's Most Robust Conversational AI Support Agent

Hey everyone, we're Ishir and Kaushik, the founders of Sift.

We initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, we created a system to analyze and evaluate every customer support interaction: human or AI.

❌ The Problem

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.

✅ The Solution

Sift Flow is state-of-the-art conversational AI for customer support and anomaly detection. Our system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. We've 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 our white-glove service requiring minimal engineering effort. We handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.

🧩 Team

Our founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.

🙋 Our Ask

Sift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and we're rapidly expanding into financial services, manufacturing, and other industries.