"Support teams stagnate. Redapto turns feedback into progress."
TL;DR: Redapto is building self-improving systems for Customer Support Teams which improves CSAT and NRR, and drives more repeat purchases and referrals.
They first met while working together in a research lab fine-tuning NLP models before LLMs went mainstream, and since then, they have published papers at top conferences.
At Coinbase, Anirudh built internal agent infrastructure, with some automations now saving over $2.5M per year. Cheril worked on fine-tuning, model compression, and distillation at Adobe and Amazon Science, saving over $1M and improving system latency by 20×.
The Problem:
33% of customers churn after one bad support experience
Most QA teams review less than 5% of conversations, missing SOP gaps, and hallucinations
Product velocity slows down because reps are not trained fast enough and knowledge bases fall behind
Outdated sources lead to bad answers that frustrate customers and erode trust
The Solution:
Redapto runs checks on 100% of your interactions across chat, voice, and email allowing you to:
Detect quality issues, hallucinations, and knowledge gaps in real time
Include custom evals tailored to your brand tone, policies, compliance rules, and business goals
Automatically design training materials, update SOPs, and knowledge bases, keeping your team on the same page
Run agent simulations to test teams and humans before launch
Next Step:
If CSAT or retention is slipping, Redapto helps you turn support into a growth engine.
They are partnering with COOs and leaders in Customer Support, Experience, and Operations at:
E-commerce companies
Fintech companies
Marketplaces and platforms (delivery, travel, or on-demand)
Book a demo at redapto.com to see how you can boost NRR and unlock millions in repeat revenue.
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