agents
Evolving Voice Agents into Collaborative Partners
Utilizing high-precision recall and low-latency performance to drive interactive experiences across deep conversation archives.
finance
agents
The Illusion of the Action Item: How AI Agents Fail to Understand the Social Negotiations of Real Work
There is a significant gap between the way automated systems handle task assignment and the reality of human interaction. While we anticipate that proactive AI can accurately identify "action items" from our discussions to oversee workflows, traditional software often fails to account for the nuances of Social Communication.
AI
Reusable Knowledge vs. Operational Memory
The missing distinction in building AI agents that can actually follow through
AI
From Task Machine to Decision Partner: Building AI Agents Around Human Judgment
From Task Machine to Decision Partner: Building AI Agents Around Human Judgment
agents
The Stateful Long-Range Dependency Problem in AI Agents
An agentic approach to building context to achieve reliable conversational intelligence. Conversational AI agents often struggle to reason smoothly across long-horizon conversations because their contexts are disconnected. For instance, if someone says, "I'm tired," today, the agent treats it as an isolated comment without considering