Make sense of unstructured data to find key call drivers, assess resolution journeys, and identify success opportunities.
Use real data to fix what you find; build automations into any business workflows, prioritize roadmaps, and augment agent training.
Send organized data to integrated platforms for conversational AI and automations. Monitor data lifecycles to find errors early and iterate.
Apply powerful prompt and data engineering workflows across raw text and speech data. Use prompts to summarize full conversations, use data engineering to group them by call driver or resolution journey, then prompt re-organized datasets for deeper analysis.
Unlock massive troves of proprietary call center data for training and analysis. Explore it in a low-code interface fit for any analyst. Build highly custom insights into data-driven business roadmaps that update as your data does.
Measure, manage, and monitor every conversation. Continuously ingest data and automate it’s design to spot hallucinations, find performance gaps, and audit agents in real-time.
Avoid low value investments. Build customer-first solutions from ground-truth insights.
Train custom AI for any need. Streamline tasks for better employee & customer experiences.
Use data to mentor human and virtual agents at scale. Improve productivity and quality.