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Agentin AI

Y Combinator LogoW25
Active
reinforcement-learning
enterprise
ai
San Francisco
 
https://www.agentin.ai

AI Agents that automate enterprise software processes

At Agentin AI, we build Agents that move data and take actions across enterprise systems, like Salesforce, NetSuite and SAP. These agents are difficult to build because each enterprise heavily customizes their systems but we solved that by training our Agents to learn and adapt from failures, applying reinforcement learning techniques we developed.
Agentin AI
Founded:2024
Team Size:2
Status:
Active
Location:San Francisco
Group Partner:Harj Taggar
    
Active Founders

Sankeerth Rao Karingula, Founder

ex-Google Deepmind researcher with a PhD in Machine Learning from UC San Diego and undergrad in EE from IIT Bombay. At Agentin AI, we build Agents that move data and take actions across enterprise systems, like Salesforce and SAP. These agents are difficult to build because each enterprise heavily customizes their systems but we solved that by training our Agents to learn and adapt from failures, applying Reinforcement Learning techniques we developed.
Sankeerth Rao Karingula
Sankeerth Rao Karingula
Agentin AI
  
Company Launches
Agentin AI – AI Agents to Automate Order-to-Cash
See original launch post ›

Watch our AI Agents in action:

TL;DR: Agentin AI builds AI Agents that automate the entire Order-to-Cash (O2C) workflow by connecting with enterprise systems like Salesforce, NetSuite, and SAP. We eliminate incomplete orders, mismatched data and delayed payments, cutting down O2C from weeks to minutes and boosting cash flow. Here's a quick podcast overview.

What is Order-to-Cash (O2C)? Order to Cash is the full business process from receiving customer orders through fulfillment, invoicing, payment collection, and reconciliation.

Why this matters: Slow or inefficient O2C processes directly delay cash flow, add operational overhead, and limit business growth.

The Problem: Companies dealing with high order volumes typically struggle with:

  • Incomplete Orders: Missing details cause delays.
  • Mismatched Data: Manual errors create reconciliation headaches.
  • Delayed Payments: Inefficient processes slow down cash collections.

These issues often extend O2C from days to weeks, impacting revenue and productivity.

Our Solution: Agentin AI’s Agents connect with existing enterprise CRM and ERP systems to:

  • Automate Data Entry: Remove manual input, reducing errors.
  • Ensure Data Consistency: Detect and fix data mismatches automatically.
  • Accelerate Payments: Speed up invoicing and reconciliation, cutting O2C time from weeks to minutes.

Backstory: I am Sankeerth Rao Karingula, founder of Agentin AI (YC W25) and an ex-Google DeepMind researcher. At Agentin AI, we develop reinforcement learning algorithms so our AI Agents can learn and adapt from failures. After seeing how manual O2C processes slow businesses down, I built Agentin AI to solve these inefficiencies.

Our Ask:

  • Could you introduce us to finance or ops leaders at companies with $100M+ in revenue and handling 1,000+ orders per month?
  • If your organization faces manual O2C challenges, schedule a demo at agentin.ai or contact me at sankeerthrao@agentin.ai.

Thank you! We’re dedicated to automating away manual Order-to-Cash inefficiencies so teams can focus on higher-value tasks.

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