Real-time Intelligence

Real-time Intelligence

Real-time Intelligence. AI on every signal.

"A good hockey player plays where the puck is. A great hockey player
plays where the puck is going to be."

— Wayne Gretzky

Real-time
Intelligence

Every customer signal is an opportunity to act — a service call that uncovers a renewal, a checkout that triggers a retention play, an inspection request triaged in seconds. We design real-time AI that observes, decides, and executes against your live data, with human-in-the-loop oversight where it matters.

Our Approach

Agentic AI only works when it's grounded in real workflows, real data, and real evaluation. We build agents that integrate with the systems you already run — CRM, contact center, e-commerce, claims, dispatch — so the model's decision becomes an action, not a recommendation that sits in a dashboard.

We start with the high-leverage decisions, instrument them, and ship agents that learn from outcomes. The same closed-loop pattern we used for predictive modelling now extends to LLM-powered tool-using agents.

Our approach:

Map the high-frequency, high-value decisions in your operation and the data behind them
Design agentic workflows: which steps are autonomous, which require human approval, and what tools the agent can call
Build evaluation harnesses before shipping — accuracy, safety, cost, and latency all measured against a real benchmark
Deploy agents into production with observability, guardrails, and rollback paths
Close the loop: agents learn from outcomes and human corrections, with clear reporting to stakeholders
Extend across use cases — what works in one workflow becomes a reusable pattern