HomeCompaniesRedapto

Redapto

Self-improving systems for Customer Support Teams

Redapto builds self-improving systems for customer support teams that boost CSAT, NRR, and drive repeat purchases. Support quality plateau because agents and QA are static. Less than 5% of interactions are reviewed, missing SOP gaps, hallucinations, and outdated knowledge. Redapto audits 100% of interactions to detect issues, run custom evals, and auto-update SOPs, training, and knowledge bases so teams continuously improve. We’re applied researchers who’ve shipped this at scale. At Coinbase, our agent automations save $2.5M+ annually; at Adobe and Amazon, our post-training and compression work saved $1M+ and improved latency 20×.
Active Founders
Anirudh Pupneja
Anirudh Pupneja
Founder
CEO @ Redapto (YC F25). Previously built the Generative AI platform at Coinbase.
Company Launches
Redapto: Self-improving systems for Customer Support teams
See original launch post

TL;DR: Redapto is building self-improving systems for Customer Support Teams which improves CSAT and NRR, and drives more repeat purchases and referrals.

https://youtu.be/spM9I6X8YAI

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  • Outdated sources lead to bad answers that frustrate customers and erode trust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

About Us:

We first met while working together in a research lab fine-tuning NLP models before LLMs went mainstream, and since then, we 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×.

Next Step:

If CSAT or retention is slipping, Redapto helps you turn support into a growth engine.

We’re 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.

uploaded image

Redapto
Founded:2025
Batch:Fall 2025
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Garry Tan