Autonomous Revenue Engine
AI-native revenue system for commercial research, offer construction, governed execution and end-to-end revenue workflows.
ALORIA · ENTERPRISE AI PRODUCT COMPANY
Explore governed systems for revenue operations and AI oversight. See what each product does, how it can be evaluated, and what evidence is available before making a commitment.
Two flagship systems. Distinct evaluation boundaries.
Illustrative portfolio overview, not a product dashboard. Product-specific proof and availability are linked below.
ALORIA INTELLIGENCE LAYER
The advisor maps the likely product domain, asks for the minimum enterprise context needed, builds an architecture brief and can turn that brief into a printable buyer-ready Architecture Pack.
Architecture outputs are exploratory product-fit hypotheses. Do not submit secrets or regulated records. Final readiness, integrations, security evidence, compliance and commercial scope require qualification.
Step 1 of 4
TRUST + EVIDENCE
Examine the technical evidence, security boundaries and known limitations for each product before a commercial discussion.
Explore evidence →START WITH THE OPERATING PROBLEM
Explore the most relevant system first. Every product shows its own evaluation scope and evidence boundaries.
Research, qualification and next actions within explicit commercial approval boundaries.
Explore ARE →02 · AI GOVERNANCEConnect AI inventory, risk, policy ownership and control evidence in one evaluation path.
Explore AGCT →03 · PORTFOLIO INTELLIGENCEEvaluate project evidence, escalation paths and decision support without claiming live enterprise activation.
Explore PMO →FLAGSHIP PRODUCTS
Availability and evidence are shown separately so evaluation status is clear without overstating production readiness.
AI-native revenue system for commercial research, offer construction, governed execution and end-to-end revenue workflows.
Control tower for AI policies, risk, controls, evidence, decisions and oversight across enterprise AI use.

WHY ALORIA
Aloria is designed for workflows where AI must operate around systems of record, explicit authority and inspectable evidence.
BUYER PATHS
Each path frames the products, authority questions and evidence that matter to a specific buyer.
Move from AI experiments to governed operating systems.
Open buyer path →02Govern AI as an operating system, not a spreadsheet exercise.
Open buyer path →03Use AI to compress commercial work without surrendering commercial authority.
Open buyer path →04Turn fragmented supplier context into controlled decision intelligence.
Open buyer path →EXTENDED PORTFOLIO
Each keeps a distinct availability and evidence state. See all eight products and selected projects →
SELECTED ALORIA PORTFOLIO
Explore a curated selection of enterprise systems, customer solutions and technical showcases. Each project discloses whether it is live, a demo, source/IP or still in development.
WHAT ALORIA BUILDS
Intelligence, automation, deterministic controls and human authority are designed as one operating model.
Agents and workflows inside explicit authority boundaries.
Policies, controls, traceability and human override.
Signals transformed into explainable operating decisions.
Evidence structures connecting capability to business value.
ALORIA COMMERCE · BUSINESS LINE
Aloria also works with individuals, professionals and businesses that need a website, an online store or AI automation. From a web project to a tailored workflow, we define the scope, integrations and human approvals with you. Aloria Commerce OS and our product portfolio support this line of work; you can start with the service you need.
FOUNDER & PRODUCT LEADERSHIP
Founded by Jovan Franco, Aloria connects enterprise technology, AI governance and operating experience to products designed for accountable decisions.
Jovan Franco · Founder, Aloria
Aloria’s founder has directed 500+ confirmed unique AI subagent executions across 14 reconstructed engineering swarms spanning enterprise AI products in governance, infrastructure, portfolio intelligence, recruiting, decision intelligence and autonomous execution. These are AI subagent instances, not employees or concurrent agents; the counts are a reconstructed owner audit, not an independent third-party audit. Review the evidence and methodology ↗
FLAGSHIP DEMO / ENTERPRISE REVIEW
Request a flagship walkthrough, architecture review or technical diligence with a short initial intake.