Companies

Agentin AI

agentin.ai

Agentin AI deploys cross-system AI agents to automate enterprise Quote-to-Cash and Procure-to-Pay workflows.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 4d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Agents
Customers
Enterprises
More details
Organization type
Commercial Company
Ecosystem
Agents
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises
Delivery models
Hosted Software
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
Not classified

About

Agentin AI builds AI agents that operate Quote-to-Cash and Procure-to-Pay workflows across enterprise ERP, CRM, and procurement systems. It serves finance, revenue, operations, procurement, and supply-chain teams, differentiating through cross-system, end-to-end workflow automation rather than isolated automations.

Market

Agentin AI competes in enterprise AI and agentic process automation, specifically software that runs revenue and spend workflows across ERP, CRM, procurement, ticketing, and workforce systems. It is positioned as an intelligence layer on top of existing enterprise software rather than a replacement system, with agents that monitor data and take actions across applications. Its main differentiation is reinforcement-learning-based agents designed to learn from failures and adapt to heavily customized enterprise environments.

Target Customers

Agentin AI targets large, high-volume enterprises—particularly companies with more than $100 million in revenue and at least 1,000 orders per month—where finance and operations teams manage complex Quote-to-Cash or Procure-to-Pay processes. Its identified design-partner industries include manufacturing, oil and gas, and technology.

At a Glance

Problem

Enterprise Quote-to-Cash and Procure-to-Pay work is fragmented across CRMs, ERPs, procurement systems, billing tools, and approval queues. Teams must manually coordinate orders, purchase orders, invoices, payments, and exceptions across systems, creating slow cash cycles, data-entry errors, duplicate purchasing, price leakage, stalled deals, and unnecessary operational work. The clearest killer use case is Quote-to-Cash: ensuring that a signed deal becomes a clean order, remains synchronized through fulfillment and billing, and is reconciled to payment without manual intervention.

Product / Service

Agentin AI provides an intelligence layer and AI agents that operate end-to-end enterprise workflows rather than isolated automations. It connects through standard APIs to systems such as SAP, Salesforce, NetSuite, ServiceNow, Workday, and Dynamics without changing core configurations; maps how each customer’s workflows and edge cases actually operate; then watches activity, detects errors or delays, and proposes actions before progressing to automated execution. Agents are designed to keep humans in control, with approval choices, explanations, and complete action logging.

The company delivers this through workflow-mapping and implementation sessions, with access to use cases expanding from Quote-to-Cash to Procure-to-Pay. Its stated benefit is measurable operational improvement: early pilots reduced Quote-to-Cash cycle time from 45 to 18 days, cut order-error rates from 12% to 0.5%, and reduced manual touchpoints by 83%, although the company notes that results vary by implementation.

Market

Agentin AI competes in enterprise workflow automation and AI-agent software, specifically the cross-system Quote-to-Cash and Procure-to-Pay segment. Its positioning is differentiated around managing complete business flows across enterprise applications, rather than offering a single point automation. The available research does not name direct competitors, so a precise competitor comparison cannot be established from the evidence.

The company appears early-stage and pilot-led: it was founded in 2024, is an active Winter 2025 Y Combinator company, and has reported results from early enterprise pilots. Quote-to-Cash is presented as operating today with early pilot results, while Procure-to-Pay is in beta with select design partners. The available materials do not disclose revenue, customer count, or broader commercial scale, so Agentin is best characterized as an early enterprise software company validating its product through pilots and design partnerships.

Founders & Leadership

Sankeerth Rao KaringulaFounder
Founder & CEO

Funding History

2025-03
Seed (Tracxn; Crunchbase labels the round Pre-Seed)$500K

Y Combinator

Recent News

2026-10-07product_launch
Agentin AI featured in Y Combinator Launch YC

Agentin AI was featured in a public Y Combinator Launch YC listing for its quote-to-cash agents. The listing describes agents that connect with Salesforce, NetSuite, and SAP to automate order processing, invoicing, and payments.

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Business Model

Agentin AI uses a sales-led enterprise software model, selling AI-agent workflow automation to business customers through design-partner engagements and workflow sessions. Public materials do not disclose specific pricing, billing metrics, or revenue figures.

Products

Quote-to-Cash AI agentsProcure-to-Pay AI agentsCross-system enterprise workflow intelligence layer

Tech Stack

AI agentsReinforcement learningAPI-based enterprise-system integrationsCross-system workflow automation

Competitors

UiPath
Celonis
HighRadius
Zuora