LaunchDetect
Request a pilot
The record, delivered into your workflow. What a pilot adds over the public dashboard.

The independent record, in your workflow.

Launch evidence, delivered into your existing workflow.

The public dashboard shows launches. A pilot adds the launch signal itself, ahead of the catalog, delivered through the Unified Data Library and API path your program may already use. Integration needs are reviewed with each team.

Request
a pilot

We agree scope, success measures, timing, and pricing first.

A launch happensBefore the new objects are catalogedThe LaunchDetect signalUnclassified, confirmed before releaseUDL and REST APIWhere your program can already pull itYour workflowRecords arrive in the tools you use today

What a pilot adds

Evaluate delivery, integration, and usefulness for your team.

Know a launch happened.

Published records distinguish independent observations from schedule information and modeled estimates. Review the evidence for each launch.

How a pilot runs

  1. Agree a historical replay

    Choose the launches, period, and success criteria.

  2. Compare with your baseline

    Run the same task with your current process and with LaunchDetect.

  3. Scope a live evaluation

    If the replay shows value, agree a limited live period and stop criteria.

Request a pilot

Start with an agreed historical replay. Compare it with your current workflow. Then decide whether a bounded live evaluation is worth it.

Where could launch data help your team?

Evaluate whether launch context fits your existing tools and helps associate new observations. Compare field compatibility, useful information, and the effort needed to use it.

Launch context that fits your workflow.

Tracking & integration
Evaluation workflowSelect a step

Put the launch in context.

Inspect LaunchDetect’s event record. Review reported status, timing, available source references, and gaps before adding it to your workflow.

  • Event status
  • Recorded times
  • Source references
The first trial

Prove the fit. Then go live.

An agreed replay. Your baseline. A clear decision.

  1. 01

    Agree a historical replay

    Choose the launches, period, available records, and success criteria. Replay only information available at each step.

  2. 02

    Compare with your baseline

    Run the same task with your current process and with LaunchDetect inputs. Review useful information, gaps, false alerts, and effort.

  3. 03

    Scope a live evaluation

    If the replay shows value, agree a limited live period, event or regional scope, support, and stop criteria before starting.

Explore the evaluation plan

We’ll agree replay scope, available evidence, success measures, timing, and pricing first. A live evaluation is a separate next step if the replay shows value.

Design your replay.

Tell us what you want to understand.

Define success together

Timeliness Detection → publication → receipt

Coverage & completeness Events and fields available

Workflow value Useful decisions supported