Digital Arsenal

Internal AI Validation & Performance Testing Platform

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Platform as Code (PaC)

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ATO for AWS Govcloud

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Automated Testing

Digital Arsenal is NextGen Federal’s secure internal environment for evaluating, validating, and hardening mission-critical AI models, tools, and datasets. Built for federal programs, research labs, and controlled development teams, it provides persistent testing, repeatable evaluation frameworks, and trusted metrics—all inside your authorized infrastructure.

Product Overview

Digital Arsenal provides a hardened environment where federal teams can:

Test custom AI models against controlled datasets
Validate behavior using repeatable test suites
Compare multiple tools and models against benchmark conditions
Conduct batch evaluations on mission-specific data
Maintain audit trails for compliance and accreditation workflows

Everything runs inside your secure environment—no external data sharing, no outbound telemetry, and full compliance with federal data-handling constraints.

Key Capabilities

01. Trusted Performance Validation

Digital Arsenal supports repeatable, automated test pipelines that allow teams to validate:

Custom AI models
Data processing tools
Analytical workflows
Any scriptable model or ML component

Test outputs are archived with metrics, logs, and configuration metadata for full traceability.

02. Customizable Test Suites

Teams can design scenario-specific test templates aligned with:

Mission requirements
Organizational SOPs
Federal compliance rules
Domain-specific behaviors (EW, weather, ISR, logistics, analytics, etc.)

This ensures models behave correctly under realistic, stress-test conditions.

03. Batch Evaluation at Scale

Evaluate entire sets of:

Models
Tools
Data repositories
Prompt/response patterns
API endpoints

Run evaluations in parallel and compare results using unified scoring dashboards.

systems

No model weights, logs, or data leave your environment.

04. Evidence-Backed Analytics

Digital Arsenal stores:

Metrics
Test outcomes
Failure cases
Trace logs
Input/Output comparisons

The result: fully inspectable evidence to support compliance, model acceptance, and ATO workflows.

Use Cases

Digital Arsenal is ideal for federal teams that need:

Model acceptance testing before operational deployment
Comparative analysis between competing models
Internal R&D validation for mission-specific algorithms
Controlled evaluation of LLMs, signal processors, weather tools, and analytic systems
Version-to-version regression testing

Platform Features

Test Scenario Builder: Create reusable templates for specific mission domains.
Model + Tool Registry: Track versions, metadata, and change history.
Automated Metrics Engine: Collect accuracy, latency, robustness, and compliance metrics.
Parameter Sweeps: Run controlled variable experiments (thresholds, seeds, model configs).
Secure Execution Sandbox: Ensures isolation for each test run.