Adaptive Test Selection driven by Runtime Signals.

Quantik Mind™ selects the right tests at the right moment, maximizing coverage of the highest observable runtime risk, then explains why every selected test earned its place.

Traditional and Test Impact Analysis approaches are change-driven.

Quantik Mind™ is risk-driven, combining Runtime Signals, dependencies, topology, runtime intelligence, and explainability to select the tests that matter now.

Test Type
Date
Project
Selected / Total
Runtime Risk Coverage (observed)
High-Risk Coverage
Residual Risk
Test Reduction
Functional
6/25/2026
Fraud Detection
644 / 2175
68.8%
100%
31.2%
70.4%
Selected Tests
644 / 2175
Runtime Risk Coverage (observed)
68.8%
High-Risk Coverage
100%
Test Reduction
70.4%
Type
Test Case
Service
Impact
Risk Signal
Why Selected
Functional
POST /login [negative:auth]
auth_service
High
High
SUPERPOSITION · execution value
Functional
POST /token/refresh
auth_service
High
High
SUPERPOSITION · execution value
Functional
POST /fraud/check
risk_service
High
High
SUPERPOSITION · dependency risk
Easy to try
Python Package
Windows Executable
Linux Binary
macOS Binary
Product architecture

Quantik Mind™ decides.
Your test runner executes.

Connect locally via the CLI or directly from your CI/CD pipeline. Quantik Mind™ decides which tests should run, your existing runner executes them, and the dashboard explains the decision.

Repository

Code changes, execution history, test metadata, and service context provide the evidence for selection.

CLI or CI/CD

Connect locally via the CLI or directly from your CI/CD pipeline.

Quantik Mind™ Engine

Combines Runtime Signals, execution history, code changes, dependencies, topology, and risk propagation to select the tests that matter now.

Test Runner

Your existing framework executes the selected tests. Quantik Mind™ selects; it does not replace your runner.

Dashboard

Shows selected tests, skipped tests, risk coverage, and the rationale behind every decision.

Framework-Agnostic Test Selection
PlaywrightCypressSeleniumPytestJestJUnitTestNGRSpecCucumberRobot Framework
Why Quantik Mind™ is different

Quantik Mind™ extends traditional and Test Impact Analysis approaches.

Execution history and code changes are necessary signals. They are not enough on their own.
Quantik Mind™ combines them with Runtime Signals, dependencies, topology, runtime criticality, risk propagation, and explainability.

Signal
Others
Quantik Mind™
Execution history
Code changes
Observability
Runtime Signals
Dependencies
Service topology
Runtime criticality
Risk propagation
Explainability
Quantik Mind™ Signal Model

Runtime Signals are broader than observability.

Observability is one source. Quantik Mind™ also uses execution history, code changes, dependencies, topology, runtime criticality, risk propagation, and decision feedback.

Runtime Signals

Logs, traces, metrics, service topology, dependencies, runtime behavior, and execution history become evidence for the next selection decision.

Runtime Intelligence

The model weighs what changed against what is operationally important right now.

Risk Propagation

Quantik Mind™ accounts for service interactions so a change in one area can raise validation priority elsewhere.

Explainability

Every selected test needs a reason engineering teams can inspect and trust.

Google Online Boutique Benchmark

Benchmark proof, not benchmark tooling.

The Google Online Boutique Benchmark validates the value of the signal model.
Quantik Mind™ is the product: adaptive test selection powered by Runtime Signals.

Approach
Test Savings
Defect Recall
Runtime-Critical Risk Coverage
Quantik Mind™
62.4%
100%
72%
History & Code Change-driven Test Impact Analysis
71.2%
71.4%
-
Random
50.0%
71.4%
-
Full Suite
0%
100%
-

Test Savings

The share of the suite not executed because the selected scope carried the useful signal.

Defect Recall

The percentage of known defects still detected by the selected test scope.

Runtime-Critical Risk Coverage

Coverage of tests connected to current runtime risk, service behavior, and dependency impact.

Software Signal Engineering

The discipline behind the product.

Quantik Mind™ is the first practical implementation of Software Signal Engineering: signal over noise, adaptive validation over static test volume.

Explore the technology

Start selecting better tests.

Install Quantik Mind™ in minutes and start validating the tests that matter most.