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How confident are we that this software will behave as expected?

Confidence begins with understanding, not test generation.

Before OPSANA generates a single test, it builds a structured understanding of what the software is, what it should do and where the evidence already exists. Only then does it identify what needs to be validated and how.

Read the sample report

You cannot validate what you do not understand.

Most test generation tools start with code. OPSANA starts with understanding: capabilities, business rules, journeys, entities and the relationships between them. Tests are generated from this understanding, not extracted from syntax.

This means the tests OPSANA generates reflect what the system should do, not just what the code happens to say. Evidence of what is tested, what is not and where risk concentrates is always traceable.

What OPSANA provides

  • Evidence-backed understandingA structured model of what the system does and why it matters.
  • Grounded testing intelligenceTests rooted in rules, invariants, risk and known state flows.
  • Risk and uncertainty signalsWhere the evidence is incomplete, OPSANA says so.
  • Decision intelligenceEvidence to support better engineering decisions. Not a release call.
  • Two readings of every screenPlain language by default. Once signed in, one switch, Dev mode, shows the engineering reading: file, line, commit and evidence basis.

Important: OPSANA does not certify that software is safe. It provides evidence, risk, uncertainty and decision intelligence to help humans make better release decisions.

From engineering artefacts to confidence intelligence.

InputsRepositoryJiraAPIsExisting TestsGit History
  1. GeckoContext Intelligence

    Builds evidence-backed understanding

    Discovers capabilities, entities, business rules, journeys and dependencies from engineering artefacts. Builds the Context Graph.

    Live
  2. Human Governance

    Human context validation

    Engineering and domain experts validate candidate context. Approved understanding enters the governed Context Graph.

    Live
  3. KrakenTest Intelligence

    Identifies and generates test intelligence

    Analyses existing tests against the Context Graph. Identifies coverage gaps, generates new test specifications grounded in rules, invariants, risk and state flows.

    Live
  4. Human Governance

    Test intelligence governance

    Engineers review and govern test intelligence before execution. Approved tests proceed to governed execution.

    Live
  5. CheetahExecution Intelligence

    Executes governed tests and captures evidence

    Runs test suites against target environments. Captures execution evidence, failures and anomalies. All execution evidence feeds back into the Evidence Graph.

    Roadmap
  6. SwarmSimulation Intelligence

    Challenges assumptions through simulation

    Simulates edge cases, concurrent behaviour and boundary conditions that are difficult to test conventionally. Surfaces unexpected system behaviour as intelligence.

    Roadmap
  7. SharkProduction Intelligence

    Learns from production behaviour

    Monitors production telemetry, incidents and anomalies. Feeds new evidence back into the system. What production reveals about behaviour updates the intelligence model.

    Roadmap
  8. EagleReporting & Decision Intelligence

    Transforms intelligence into decision support

    Synthesises understanding, risk, test results and simulation outcomes into clear, traceable confidence reporting for engineering leaders and stakeholders.

    Roadmap

Continuous learningNew evidence updates the graphs. Understanding evolves. Confidence intelligence improves over time.

Your engineering systems already contain the evidence.

OPSANA turns it into understanding.