01
INGEST
Campaign data enters the workspace.
Turn test data
into evidence.
Investigate anomalies, trace requirements and procedures, and assess qualification readiness.
qi — campaigns/tvac-payload-a
Loading workspace…
Test campaigns generate data.
Qualification requires evidence.
DATA↓FINDINGS↓INVESTIGATION↓EVIDENCE↓READINESS
Qualification Intelligence connects the chain — from raw test artifacts to traceable engineering decisions.
Why Qualification Intelligence
Built for how qualification evidence is actually reviewed.
The problem today
Fragmented test artifacts
A single TVAC or vibration campaign can span CSV exports, TDMS files, procedure revisions, limit matrices, calibration records, and test reports — often reviewed in separate tools with no shared context.
Manual reconciliation
Engineers spend significant time answering basic questions: which limit was violated, under which configuration, against which procedure step, and what evidence supports the finding.
Late evidence gaps
Missing calibration certificates, unlinked requirements, or incomplete traceability often surface only at qualification review — when fixes are most expensive.
What QI does differently
Deterministic
Findings you can explain.
Limit violations, data gaps, and sensor divergence are detected with explicit engineering rules — not opaque models. Every finding has a traceable reason.
Traceable
Anomaly to evidence, in one view.
Connect each finding to the relevant data region, acceptance limit, requirement, procedure step, configuration, and supporting evidence — with gaps surfaced explicitly.
Review-ready
Readiness before sign-off.
See evidence completeness and qualification readiness as an engineering assessment. Human reviewers stay in control — QI makes the reasoning visible, not the decision.
From files to findings. From findings to evidence. From evidence to readiness.
Qualification Intelligence is designed for aerospace and space hardware teams who need test evidence to be explainable, traceable, and reviewable — without replacing engineering judgment.
Workflow
02
DETECT
Deterministic checks surface limit violations, gaps, and sensor divergence.
03
INVESTIGATE
Inspect findings against time-series data and procedure context.
04
TRACE
Connect findings to requirements, procedures, and evidence.
05
ASSESS
Evaluate evidence completeness and qualification readiness.
Product
Campaign intelligence workspace.
Campaign
TVAC Payload A
Status
REVIEW REQUIRED
Findings
3
Evidence
82%
Gaps
1
Temperature · acceptance limits
Selected anomaly
Temperature A exceeded upper acceptance limit
Peak 67.2 °C · limit 65 °C
Traceability chain
Finding
Temperature A exceeded upper limit
Data
Samples 94–108 · tvac_telemetry.csv
Requirement
REQ-TVAC-014
Procedure
Step 4 · Cold soak hold
Calibration
Pressure sensor
Evidence
Calibration certificate
Use cases
Built for qualification and acceptance workflows.
Three core workflows where test data, engineering limits, and evidence must be reconciled before a hardware decision is trusted.
Early access
Help define test evidence intelligence.
We are working with aerospace and space hardware teams to understand how qualification and acceptance evidence is created, reviewed, and trusted.
Become a design partner →