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ARIA EvalForge

LLM benchmarking and mission-fit evaluation — turning a mission task into evidence-based model selection.

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Research Brief

What ARIA EvalForge Is

ARIA EvalForge is SecurePro's applied-research platform for evaluating language models against mission-specific criteria — not just generic accuracy. It runs candidate models through versioned, reproducible test scenarios, can apply simulated operational-stress conditions, and scores each response with transparent rubrics and a written rationale for every metric. A subject-matter expert reviews the results before any recommendation, and the platform produces an open-format evidence package that justifies an evidence-based model-selection decision.

  • Compares multiple candidate LLMs against mission-relevant tasks — not generic accuracy alone
  • Tracks quality, latency, cost, reliability, safety, and mission fit
  • Applies operational-stress conditions to see how models hold up under degradation
  • Scores each response with transparent rubrics and a written rationale per metric
  • Keeps a human-in-the-loop subject-matter expert review before any recommendation
  • Produces an open, machine-readable evidence package for defensible model selection

Architecture Artifact

High-Level Evaluation Flow

A conceptual, illustrative view of how a candidate model moves from an untested scenario to an evidence-backed selection — with human review as a required gate.

ARIA EvalForge high-level architecture: a Mission Task and Evaluation Scenario draws on an Evaluation Dataset, runs through a Prompt and Test Harness via Model Connectors, is scored by a Scoring Engine, retained in a Metrics Store, surfaced on an Evaluation Dashboard, gated by Human Review, and results in a Model Selection Evidence package.

  1. 01·Mission Task / Evaluation Scenario

    Defines the operational scenario and the criteria that matter — not generic accuracy.

  2. 02·Evaluation Dataset

    Versioned, reproducible test cases with reference answers.

  3. 03·Prompt & Test Harness

    Runs each case through the model, with optional operational-stress conditions.

  4. 04·Model Connectors

    Standardized adapters to evaluate any candidate model the same way.

  5. 05·Scoring Engine

    Transparent rubric scoring with a written rationale for every metric.

  6. 06·Metrics Store

    Persists every score and rationale for reproducible, auditable results.

  7. 07·Evaluation Dashboard

    Score trends and per-metric breakdowns for analysts and reviewers.

  8. 08·Human ReviewGate

    A subject-matter expert signs off before any model is recommended.

  9. 09·Model Selection Evidence

    An open-format evidence package supporting a defensible selection decision.

Conceptual / illustrative architecture — not a production system. Any metrics, models, or scores shown are illustrative placeholders only.

Safety & Governance

Evidence, Not Opinions

Human review is required before any selection verdict
Per-metric rationale instead of opaque, black-box scores
Full traceability of every evaluation step
Open, non-proprietary evidence format
Designed for isolated / air-gapped operation
No external call-home from the evaluation environment

Related

Explore ARIA Labs Research

ARIA EvalForge is one of two flagship ARIA Labs initiatives. See the other, MissionHR Navigator, or visit the ARIA Labs hub for the full operating model.

MissionHR Navigator ARIA Labs Hub