NuPlay

NuPlay is built so agents get better as they work. NuLoop watches each run, scores it against the outcome you asked for, and upgrades the agent's context and behavior. Nurix AI says this is the core difference: most automation tools perform the same on day one and a year later, while NuPlay compounds. The practical effect is that you spend less time retraining an agent by hand.

Rather than one flat bot, NuPlay supports agents that reason through branching logic, handle multi-turn conversations, and trigger other agents for sub-tasks. A support agent might pass a billing question to a specialist agent and pick the thread back up afterward. For companies with complex journeys, this maps to how the work actually splits across teams, not to a single script.

Agents are only useful if they can act. NuPlay connects to CRMs, ERPs, schedulers, and internal APIs, so an agent can pull personalized data, write a record, or kick off a workflow while the conversation is still going. Nurix AI lists 400+ connections, which means the agent usually works inside your existing stack instead of asking you to replace it.

NuPlay runs on Nurix AI's own models, Astra and SEAL, and also lets you route work across other models based on accuracy, latency, or cost. You can switch models as needs change without rebuilding the agent. That matters for teams worried about being locked to one vendor's model lineup as the field moves.

The agent grounds its answers in your documents, CRMs, wikis, and help centers through a retrieval layer. Instead of answering from a generic model, it pulls the right passage for the question. For support and sales, this is what keeps answers accurate to your products and policies rather than plausible but wrong.

NuPulse is the dashboard layer, showing active workflows, agents, completed work, and outcomes as they happen. Teams can track deflection, drop-off, CSAT signals, and conversion rates, and connect those numbers back to specific agent decisions. Nurix AI positions this as moving from "what happened" to "what needs to change."

Role-based access, audit logs, version control, and PII redaction are built in. Every run can be traced from the prompt used to the action taken, which gives product, support, and compliance teams a shared record. For regulated industries, that audit trail is often the line between a pilot and a production rollout.

NuContext gives every agent a single view of your business context that carries across voice, SMS, email, and chat. When a customer starts in chat and later calls, the agent already knows the history. A shared context layer also means agents learn from each other's runs instead of each starting from zero.