Algomation Platform
A family of tools and frameworks that convert your institutional knowledge into executable, auditable algorithms.
Overview
The Algomation Platform is designed for enterprises and public institutions that need more than “AI chat”. It provides a disciplined way to model, execute and govern the logic that AI agents depend on, using open standards and the UAPF format.
ProcessGit (Processpository)
Live & FreeProcessGit is a Git-based Processpository for executable process algorithms and UAPF packages. It gives teams a familiar, disciplined way to store, review, version and publish “process code” with full traceability.
- Store UAPF packages and related BPMN/DMN/CMMN assets in a repository
- Reviews and approvals using standard Git workflows
- Versioning, change history and audit trails by default
- Distribution point for execution (Engine), validation (Validator) and reuse
Algomation Studio
BetaA modeling environment for algorithmation. Studio lets process owners, architects and subject-matter experts collaborate on:
- Authoring BPMN workflows, DMN decision tables and CMMN case models.
- Packaging those models into UAPF containers with metadata and lifecycle info.
- Managing reviews, approvals and version history for critical operational logic.
UAPF Engine
AvailableThe runtime that executes UAPF packages. UAPF Engine turns your algorithmated processes into live services that AI agents and applications can call.
- Runs UAPF packages as workflows, decision services and case handlers.
- Exposes APIs for AI agents, RPA, integrations and internal systems.
- Captures full execution traces for audit, debugging and analytics.
UAPF Validator
LiveThe governance and quality gate for your algorithmated logic:
- Validates models and UAPF packages against schemas and policy rules.
- Supports test suites, scenario simulations and "what-if" analysis.
- Generates human-readable reports for risk, audit and change management.
Integrations & Bridges (planned)
Integration connectors between UAPF and the rest of your technology stack, planned for future releases:
- Connect algorithmated logic to agent frameworks, LLMs and copilots.
- Integrate with ERPs, CRMs, ticketing tools and data platforms.
- Define clear, controlled interfaces so autonomous agents cannot bypass policy.