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Computational Research · Greek-Fire Corporation

The Prometheus Engine

Computation you can reproduce, inspect, and verify.

The Prometheus Engine provides a computational foundation for research and software that need dependable, repeatable results. It brings deterministic numerical methods, exact arithmetic for supported operations, and verification tools into a reusable engine built on classical computation.

Discuss The Prometheus Engine Working engine · Active research & development

Make a result worth building on

A useful calculation should survive a second run and a closer look. Prometheus helps developers and researchers preserve the computational detail needed to compare outcomes, investigate differences, and understand the conditions under which a result holds.

Repeatable numerical work

Use exact arithmetic where the operation supports it and deterministic numerical methods elsewhere. The engine distinguishes precision from reproducibility, so the meaning of a result stays visible alongside the result itself.

Checkable computation

Re-run supported computations and compare their records across implementations. Verification tools make disagreement explicit, helping a team investigate a changed input, an incompatible operation, or an unexpected outcome.

Reusable software foundations

Bring the engine into application workflows through a versioned software library and selected browser components. Structured inputs, defined operation boundaries, and conformance checks help integrations preserve the intended behavior.

A disciplined path from idea to evidence

  1. Define the question

    Specify the inputs, the supported operation, and what the experiment should establish. Keep assumptions and precision requirements explicit before interpreting an output.

  2. Compute and preserve

    Run the relevant engine components and retain their results and verification records. Supported interfaces can identify inputs or requests that fall outside their defined scope.

  3. Reproduce and compare

    Repeat the computation, examine differences, and test the limits of the model. Use that evidence to decide what is ready for an application and what needs further research.

Where that discipline matters

Scientific modeling

Study numerical sensitivity and uncertainty in a defined model. Research examples include decay-chain calculations that examine the difference between numerical error and uncertainty in the input data.

Application verification

Check whether a supported calculation behaves consistently across software environments. Reproducible records give developers a concrete basis for integration checks and regression investigation.

Language and data research

Explore computational patterns across supported languages and investigate transformations between data structures. These tools support controlled experiments whose broader interpretations require separate evidence.

An active engine with explicit boundaries

Prometheus is developed as a versioned library and used within our software ecosystem. Exactness and verification apply to the supported operation and its stated assumptions. Research models and proposed applications are evaluated separately. Technical evaluation and integration access are arranged directly with the team.

Explore a research collaboration.

Connect with us to discuss the project, potential applications, and opportunities to collaborate.

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The computational foundation within Project Kerberos

Agent Foundry connects engine capabilities to tool workflows. Agent Orchestra supports the wider development and quality process. AIStackerPro is the portfolio's research platform, while Project Kerberos brings the ecosystem into view.

Project Kerberos Agent Foundry Agent Orchestra AIStackerPro Honey Aegis