Resonance Labs

In 2023, Resonance Labs' founding team built the conversational and clinical intelligence for the first AI Care Manager in the country, followed by the playbook to safely scale our empathetic voice Agent in production with enterprise clients across every healthcare domain. We're researchers who have created AI Agent call centers.

Since 2024, we have seen:

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  Existing frontier labs leave voice AI intelligence behind.

  Frontier labs have shifted to optimize for software engineering: Agent Reasoning and Coding (ARC) intelligence. As a result, every model since 2024 has regressed on conversational ability.
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  Hundreds of voice AI startups each reinventing the same agent skills from scratch

  Identity verification, form info collection, noise handling, intent recognition for transfer: 100 startups solving the same problems 100 different ways.
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  Successful pilots stall at scale because model intelligence is the bottleneck.

  The sales deals close, the ROI is proven, and qualified buyers are waiting. Yet builders, whether improving performance within a single deployment or expanding across new sites, hit the same ceiling: the underlying model doesn't know how to have a conversation. Builders are forced to manually engineer the best practices that drive resolution.
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  Certain use cases and features are systematically losing deal desks and getting left behind.

  Small clinics, low-volume outreach, women's health, pediatrics, non-English speakers. The populations the industry is walking away from are the ones that most need AI help. The technical challenges these use cases surface produce the most defensible capabilities.

Resonance Labs is a pioneering applied research lab to address the missing frontier intelligence every voice AI builder is betting on — conversational intelligence — the 80% every voice agent needs so builders can focus on the 20% that wins their market.

Conversational intelligence is the critical third profile of AI capability — alongside deliberation (reasoning, code, math) and domain depth (clinical, legal, financial). It is the ability to do the job through human-paced dialogue, under a hard latency budget. It has its own optimization target, and no foundation lab is pointed at it.

Today's voice AI stacks treat experience as something you can prompt. You cannot. Experience is trained.

We are training that intelligence, so the next generation of AI systems:

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  Understand how to talk to people.
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  Advocate for the person on the other end of the interaction.
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  Improve based on real-world production outcomes.
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  Are built and verified for specific roles, not general use.

We are building the foundational intelligence to enable the next generation of conversational AI Agents in every domain that requires human connection. An advocate makes you feel heard AND gets the job done. These goals are not in tension. They are the same.

Conversational intelligence drives the best outcomes for organizations too: higher resolution, fewer escalations, deeper trust, and better long-term engagement. User trust is the winning strategy. We are building for it.

At Resonance Labs, every use case that requires human connection is our market. Healthcare established the operational standard that shaped our approach. We will carry the same rigor into every domain where humans and AI meet:

We believe the same paradigm shift that transformed reinforcement learning for coding AI will transform conversational AI. This requires a lab to build:

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  A model training method that converts conversations into a verifiable learning signal.
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  A production-grade harness that makes those resulting systems scalable and usable for AI Agent jobs in the real world.