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Cartesia has launched Managed Agents, an end-to-end voice agent platform for enterprise call scenarios. According to information released by Cartesia's product and research teams, the platform ranks first among 30 agents on Artificial Analysis's Speech Agent Arena with a preference Elo of 1115; on ServiceNow's EVA-Bench it achieved an accuracy of 87.4% and an experience score of 90.7%, both the highest. The platform co-designs the voice model and harness, offering capabilities including 44 languages, tool calling, knowledge bases, and outbound calling batches, and the company says it has already supported tens of millions of conversations in finance, retail, hospitality, and healthcare scenarios. Rohan Paul's October 30 report likewise noted that the platform ranks first on Speech Agent Arena's blind human-preference testing and on EVA-Bench, and said its H-Nets achieve a 3–5x efficiency improvement in controlled scaling experiments.
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Cartesia Releases Managed Agents, Ranking First in Blind Human Preference Tests on Speech Agent ArenaDevelopments
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Oct 30
Rohan Paul
Cartesia Releases Managed Agents, Ranking First in Blind Human Preference Tests on Speech Agent Arena
Cartesia has launched Managed Agents, an end-to-end voice agent platform for enterprises, which ranks first in blind human preference tests on Artificial Analysis's Speech Agent Arena and first on ServiceNow EVA-Bench. The platform uses a cascaded architecture, jointly tuning its proprietary voice models and the agent harness as a single system. Its H-Nets learn directly from raw bytes, achieving 3–5x efficiency gains in controlled scaling experiments, and at larger scale matches an open-source model trained on 11 trillion tokens with roughly 10x less training data and compute.
Oct 29
Cartesia Product and ResearchFirst-party
Cartesia Launches Managed Agents End-to-End Voice Agent Platform
Cartesia has launched the Managed Agents end-to-end voice agent platform, targeting enterprise call scenarios. On Artificial Analysis's Speech Agent Arena, it ranks first among 30 agents with a preference Elo of 1115. On ServiceNow's EVA-Bench, the platform achieved an accuracy of 87.4% and an experience score of 90.7%, both the highest. The platform co-designs the voice model with the harness, offering capabilities such as 44 languages, tool calling, knowledge bases, and outbound calling batches. The company says it has already supported tens of millions of conversations in finance, retail, hospitality, and healthcare scenarios.
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