Parloa

Parloa is a voice first enterprise AI Agent Management Platform for contact centers. Founded in Berlin in 2018 by Malte Kosub and Stefan Ostwald, the company built custom telephony infrastructure optimized for conversational AI from the start rather than bolting voice onto a chatbot, and that decision still distinguishes it. Parloa has raised over five hundred sixty million dollars through a Series D from investors including EQT Ventures, Altimeter, General Catalyst, and Durable Capital, and serves more than a thousand customers including Fortune 200 enterprises, Swiss Life, and Decathlon.

The platform manages the full lifecycle of an AI agent. Teams brief agents in natural language with their knowledge, policies, tasks, and integrations, then deploy autonomous agents that handle complex customer service work like identity checks, claims, orders, returns, refunds, and appointment booking across voice, chat, WhatsApp, and Microsoft Teams in many languages. Running on Microsoft Azure, it integrates deeply with customer relationship management, enterprise resource planning, and contact center as a service systems including Salesforce, Genesys, NICE, and SAP, so agents access and act on real time customer data.

What most sets Parloa apart, beyond voice, is how rigorously it tests agents before they reach a customer. Teams battle test each agent with thousands of simulated multi turn conversations, edge case validation, regression tests on real and simulated data, and scoring that combines rules with a language model acting as judge, both before and after launch. Runtime guardrails reduce hallucinations, and centralized governance with versioning, approvals, deployments, and audit trails keeps a team in full control of how every agent behaves, escalates, and improves.

Security matches its regulated customer base in insurance, finance, and healthcare. Parloa holds SOC 2 Type II, ISO 27001, PCI-DSS, HIPAA, the General Data Protection Regulation, and the Digital Operational Resilience Act, with role based access, data masking, and audit trails. Pricing is enterprise sales led and consumption based, tied to the complexity of the work agents perform rather than flat rates, with deployments generally starting around three hundred thousand dollars a year. It is built for large organizations replacing legacy interactive voice response with production grade voice AI.