Parloa

Overview

Parloa is a German applied-AI company focused on enterprise customer experience and contact-center automation. Its software enables organizations to build and manage AI agents for voice, chat, messaging, and application channels, with integrations for telephony, CRM systems, and other enterprise back ends.

The company is positioned as an enterprise-focused AI agent management provider rather than a consumer chatbot brand. Its notable customers include Allianz, Booking.com, Zalando, and IKEA, and it has expanded from its Berlin base into the United States and several European markets.

History

Parloa was founded in Berlin in 2018 by Malte Kosub and Stefan Ostwald. The company initially focused on conversational AI for customer-service interactions and expanded into an enterprise platform for designing, deploying, monitoring, and improving AI agents. It raised $66 million in Series B funding, followed by a $120 million Series C round in 2025 at a reported $1 billion valuation. Parloa subsequently released its AI Agent Management Platform, AMP, and expanded its office footprint across Europe and the United States.

Product Lines

Manufacturing

Parloa is a software company and does not manufacture physical products. Its platform is developed and operated through distributed engineering and business teams based in offices including Berlin, Munich, New York, San Francisco, London, Paris, Madrid, and Milan.

Notable Products

• AI Agent Management Platform (AMP) - Enterprise platform for designing, training, deploying, monitoring, and managing AI agents across customer-service channels.
• Voice AI Agents - Voice-based AI agents for automated inbound and outbound customer-service conversations.
• Chat and Messaging Agents - Conversational AI agents for digital customer-service channels, including chat and messaging.
• Agent lifecycle management tools - Tools for testing, simulation, evaluation, analytics, and continuous improvement of deployed AI agents.

Reputation

Parloa is generally perceived by enterprise software users and reviewers as a capable platform for high-volume customer-service automation, particularly where voice interactions, workflow orchestration, and enterprise integrations are required. Reported strengths include natural-language voice experiences, simulation and evaluation tools, and centralized control over agent deployment and improvement. The main criticisms are limited pricing transparency, lack of a self-service trial, implementation complexity, and costs that can reach substantial annual enterprise contracts.