PTEM Labs | Decision-support software & data infrastructure
When sources disagree, what can you rely on?
A data feed stops updating. Another conflicts with the rest. The person making the decision needs to know what is still usable—and why.
PTEM Labs builds software that shows the evidence behind an assessment. Users can trace information to its source and replay past results. The aim is to help people know when to trust a result—and when to question it.
An answer you can check.
PTEM keeps the original data separate from the assessment and displayed result. Missing or conflicting information stays visible, so the person reviewing a result can see what supports it.
What PTEM Labs builds
Software for decisions made from imperfect evidence.
PTEM Labs develops data infrastructure, analytical software, and decision-support applications for work involving incomplete, stale, conflicting, or revised information.
Data pipelines
Ingest historical and newly arriving records, retaining source identity and when each record became available.
Containerized software
Develop Docker-based processing workers and repeatable build configurations.
Cloud infrastructure
Use AWS and Terraform to define compute, storage, and scheduled processing workflows.
Reproducible analytics
Retain input and software versions so results can be replayed and checked.
Review applications
Build browser interfaces and APIs for inspecting data and assessments.
Automated verification
Use schema, regression, and integration tests to check inputs, software changes, and releases.
Internal R&D
Examples of what we have built.
Historical hurricane data and replay
Built versioned historical datasets and supervised capture of new hurricane records, preserving raw snapshots and availability times. Developed browser interfaces and APIs for historical hurricane review.
Start with Katrina’s recorded track, wind, and pressure. Step through the historical sequence and compare those observations with the Temporal V2 diagnostic. The replay makes a descriptive result inspectable; it does not demonstrate forecasting performance or validate other applications.
Inspect the Katrina replayNavigation decision-support prototype
Built an assured positioning, navigation and timing (APNT) prototype with three simulated source families, assessment tests, and an operator display. Recommendations are demo examples.
Discuss an evaluationThese examples are internal R&D, not government contract performance. The navigation prototype has not been validated for operational use or measured operator benefit. Customer-specific integration, deployment and cybersecurity readiness require separate qualification.
Public application
See the approach in historical hurricane replay.
PTEM Observatory is PTEM Labs’ public hurricane-replay application. Explore curated historical storms and descriptive results through browser-based exhibits.
PTEM Observatory is descriptive and observational. It does not issue forecasts, warnings, operational guidance, or causal claims.
Collection
Signature Storm Collection
Explore six selected storms from 1900–2024. Each exhibit opens with that storm selected.
Institutional pathways
Research, validation, and product context
Product
Research
Validation
Discuss an application or evaluation.
Contact PTEM Labs to discuss a software application, research collaboration, or institutional evaluation. For planned Observatory access, join the Explorer or Explorer+ waitlist.