Observe.AI is a contact center artificial intelligence company that analyzes customer conversations to improve agent performance, automate post-interaction work, and surface business intelligence. Founded in 2017 and headquartered in the United States, the company focuses on applying AI across the full lifecycle of customer interactions in contact centers.
The platform is designed to evaluate large volumes of conversations rather than small manual samples, assessing factors such as compliance adherence, issue resolution, and agent behavior to enable coaching at scale. By automating quality assurance and after-call work, Observe.AI aims to reduce manual effort while giving contact center leaders consistent visibility into performance and customer experience.
Observe.AI has expanded into generative and agentic AI, including VoiceAI agents capable of handling customer service calls, answering common questions, and performing tasks such as bookings or subscription changes. The company has described a domain-specific large language model trained on a large dataset of customer interactions to better fit contact center needs, and reports adoption by hundreds of organizations.
The company has raised substantial venture funding, with reporting indicating well over $200 million raised from investors including SoftBank Vision Fund 2 and others. This funding has supported development of its real-time analytics, automation, and AI agent capabilities for enterprise contact centers.
Observe.AI competes with other contact center AI and conversation intelligence providers as well as broader customer experience platforms adding AI features. Its differentiation centers on full-coverage conversation analysis, a domain-specific LLM, and an expanding suite spanning analytics, automation, and customer-facing AI agents.
The platform is best suited to mid-size and large contact centers and customer experience organizations that want to analyze all interactions, scale agent coaching and quality assurance, and deploy AI agents grounded in contact center context.