A Focused AI Orchestration and Control Framework

The Elora Engine is designed and operated independently on self-managed infrastructure. It is deployable, scalable, and observable, and is designed to operate as a security-first control plane for governed AI systems.

Elora is independently developed and operated, prioritising governance, security boundaries, and architectural clarity over speed.

The Elora Engine dashboard is powered by a custom Python-based engine running on self-managed infrastructure.

It is built for business and operational contexts where governance, policy enforcement, and risk management are critical for responsible AI adoption.

Start Guided Tour Open Admin Demo Back to Demo Home

Strategic Role of The Elora Taurus Project

This public presence is built to communicate architecture intent, operational direction, and governance posture without exposing private implementation detail.

Anchor point

A stable public statement of how Elora Engine approaches secure, governed AI operation.

Execution visibility

Guided walkthroughs that demonstrate currently implemented capabilities using synthetic and reduced data.

Roadmap communication

Signals where the platform is heading while intentionally protecting internal operational details and implementation methods.

Key Features

Core platform capabilities currently represented in deployment and governance direction.

Executes in your environment (local, on-prem, or cloud)
Strict security guardrails with safe fallback behavior
Rate limits and payload caps to prevent abuse
RAG and source restrictions for trusted knowledge/memory

Audit-first operations for actions and lifecycle events
Protected admin access (signed sessions, allowlists, optional MFA)
Public vs admin separation for safe visibility boundaries
Behavioral control with policy checks and scoped knowledge/memory access

Security Features (Technical)

Concrete safeguards enforced by the engine today.

HMAC request signing with timestamp skew checks to reduce replay/tampering risk
Origin allowlists so only approved sites can call the engine
Payload caps to limit body size and reduce resource exhaustion
Admin hardening with signed sessions, IP allowlists, and optional MFA
CSRF protection for admin actions and configuration changes
Audit logging for logins, config changes, and job lifecycle events

Live Engine vs Public Demo

The public demo is intentionally reduced and designed as a governed preview.

This public demo does not expose full live engine feature depth, production telemetry detail, or complete operator control layout.

Demo content is synthetic and curated for safe public viewing
Live engine includes deeper runtime JSON, governance traces, and richer operator tooling
Feature roadmap and full release details will be published separately