Voice infrastructure
Building telephony systems that handle real-time voice interactions, e.g., speech recognition, synthesis, latency optimization, and audio quality at scale.
Parloa Labs
Research that advances artificial intelligence for everyone
AI still leaves too many questions unanswered. At Parloa Labs, we open the black box to understand what today's systems are capable of and where they can go next.
Our research areas
We study the frontiers of voice and agentic AI and publish our work openly, share practical learnings, and give back to the broader community’s understanding of what makes conversations work.
Agent architecture
Designing AI agents that reason, plan, and execute complex tasks: model orchestration, multi-agent systems, and prompt engineering approaches.
Agent capabilities
Developing reusable skills for common scenarios, such as routing, authentication, knowledge retrieval, and integrations with backend systems.
Observability & optimization
Understanding agent behavior through analytics, simulations, evaluations, and continuous improvement based on production data.
Latest findings and discoveries
Insights
Building Parloa Zones: Repeatable regional deployments with central control
Adding a new region to Parloa used to take coordinated work across engineering teams. Learn how we built Parloa Zones, which lets customers run AI agents in the region they choose, so that standing up a new region is now largely automated.
Insights
The A2B service layer: Why enterprises need one governed interface for personal agents
Insights
What does it mean for a speech-to-speech model to understand a caller?
Insights
Beyond go-live: How live conversations make great AI even better
Go-live isn't the finish line for voice AI. Learn how Parloa turns production conversations into evidence for continuous agent improvement.
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Our Approach
We believe the best innovation happens at the intersection of theory and practice
Every day, Parloa’s AI agents handle millions of interactions across industries and languages. This gives us a unique vantage point to identify real challenges, test solutions at scale, and contribute meaningful findings back to the research community.