Sift Flow recently launched!

Launch YC: Sift Flow: The World

"Don’t compromise on customer experience."

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.

🧩 Team

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

❌ 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. 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.

Embedded GIF


Learn More

🌐 Visit heysift.com to learn more.
⚡ Sift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and they're rapidly expanding into financial services, manufacturing, and other industries.
👣 Follow Sift on LinkedIn & X.

Posted 
May 13, 2025
 in 
Launch
 category
← Back to all posts  

Join Our Newsletter and Get the Latest
Posts to Your Inbox

No spam ever. Read our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.