Queuevane

Replay your worst day. Change one thing. See what happens.

Queuevane is a simulation engine for contact center operations. Feed it a real day from your routing platform, adjust a single variable — a skill, an agent, a routing rule — and see the cascading effect on every call, every queue, every minute.

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What it is

Trace-driven, not forecast-driven.

Forecasting tools predict what might happen. Queuevane shows what would have happened.

It runs deterministic simulations against your actual event data — every call, every agent state change, every routing decision — so you can test operational changes against the day they would have affected, not against a model of an average week.

Who it's for

For the decisions that don't have a forecast.

Staffing thresholds. Skill assignments. Overflow rules. Routing policy changes. The levers that workforce management and ops teams pull every week have downstream effects that are nearly impossible to reason about in real time.

Queuevane plays them out. Second by second, across the full day. You see not just the immediate effect of a change, but the second- and third-order consequences — the calls that would have been handled differently, the queues that would have built or cleared, the agents who would have been free when it mattered.

How it works

Sits beside your stack, not in front of it.

Queuevane is vendor-agnostic by design. It consumes event traces from your existing routing platform — the same data your reporting tools already see — and never touches production traffic.

Use it to evaluate changes before you make them, audit decisions after the fact, or settle the recurring debate about whether last quarter's staffing model actually held up.

Questions worth answering up front.

Is this a forecasting tool?
No. Forecasting tools predict the future from patterns in the past. Queuevane simulates a specific past day with one variable changed. The output isn't a prediction — it's a counterfactual grounded in data you already have.
Will it work with my routing platform?
Queuevane is built to be vendor-agnostic. Initial integrations target the major contact center backbones. If you're running something specific, mention it when you sign up and we'll let you know where it sits on the roadmap.
How does it handle the fact that we don't actually know how a call would have gone differently?
Every counterfactual rests on calibrated assumptions — handle times, abandonment behavior, transfer rates — inferred from your historical data. Queuevane is explicit about what's modeled and what's inferred, and the assumptions are exposed as configurable inputs, not hidden inside a black box.
When can I try it?
An early access cohort is forming now. Sign up above and we'll be in touch as slots open.