# Aloria

Aloria is an enterprise AI product company based in Mexico City, building AI-native systems with explicit authority, evidence, product-specific readiness and buyer-evaluable software/IP packaging.

Primary contact: jovan@aloria.mx
Website: https://www.aloria.mx

## Product portfolio
ARE and AGCT remain Aloria's current product flagships. The broader product portfolio has product-specific availability and evidence states; do not infer that every Aloria product has the same maturity, deployment proof or acquisition status.

- Autonomous Revenue Engine (ARE): governed autonomous revenue operations. Software/IP review; real autonomous selling, provider receipts and realized customer revenue not verified. Corporate evidence review: 2026-10-10.
- AI Governance Control Tower (AGCT): enterprise AI governance, controls and evidence. Public interactive product proof and a technical showcase use representative synthetic data.

## Enterprise Asset Readiness
/market-readiness is the transaction-facing index for four enterprise software/IP assets currently active on a strategic acquisition marketplace:
- AI Governance Control Tower & AI Security IP (AGCT)
- AI-Native PMO & Portfolio Intelligence IP (PMO)
- Governed Autonomous Revenue Execution Platform (ARE)
- AI Enablement OS / Governance IP (AEOS)

These are four distinct assets with different strategic fit, maturity, transfer dependencies and diligence evidence. Marketplace exposure is evidence of commercialization intent, transaction preparation and external market exposure. It is not evidence of accepted valuation, willingness to pay, revenue, ARR, customer adoption, product-market fit, IOI, LOI, offer or completed acquisition.

## Buyer diligence signal
Substantive acquisition diligence has been initiated by a prospective strategic buyer following independent review of an Aloria product, the Aloria website and a public product demo.

This is represented only as buyer diligence. The prospective buyer is not identified publicly and private communications are not published. Diligence categories can include identity and access, auditability, AI governance, security, IP ownership, integrations, transferability and buyer fit.

## Evidence architecture
/evidence is the Evidence Center. The public evidence path is:
CLAIM -> CONTROL -> EVIDENCE -> DILIGENCE ARTIFACT.

Aloria distinguishes:
1. public product evidence;
2. engineering evidence;
3. buyer-specific deployment evidence;
4. market / diligence evidence;
5. customer outcome evidence.

A product page, marketplace listing or asking price is not treated as proof of production readiness or market value.

## AI-native buyer experience
- AI Product Advisor: operating problem -> context -> architecture brief -> session Architecture Pack.
- AI Solution Architect: /solution-architect can use sanitized pasted context or locally extracted .txt/.md/.csv/.json text to create a conservative architecture hypothesis, security questionnaire draft or RFP response outline. Submitted document context is unverified; secrets and regulated records should not be submitted.
- ARE Guided Walkthrough: /are-walkthrough is a representative interactive synthetic scenario, not the production application or customer proof.
- AI Discovery & Product Catalog: /catalog provides an evidence-backed directory of Aloria enterprise AI products with verified capabilities, real limitations, and governed commercial paths.
- Machine-Readable Catalog API: https://www.aloria.mx/api/catalog/products.json (supports ?locale=en|es, ?role=..., ?state=..., ?query=...) for LLMs, Claude MCP connectors, and autonomous buyer agents. Zero unapproved pricing, zero autonomous execution authority.

## Commercial / diligence surfaces
- Enterprise Asset Readiness: /market-readiness
- Why Aloria / build-buy-complement: /why-aloria
- Enterprise engagement: /enterprise
- Enterprise evaluation kit: /evaluation-kit
- Founding Design Partner program: /design-partner
- Enterprise review / technical diligence: /enterprise-review
- Trust Center: /trust
- Evidence Center: /evidence
- Security & Architecture Brief: /security-architecture
- PDF brief: /aloria-security-architecture-brief.pdf

## Enterprise engagement
Evaluation -> scoped pilot -> enterprise deployment.
- Evaluation planning envelope: 3-10 business days.
- Scoped pilot planning envelope: 4-8 weeks after prerequisites.
- Enterprise deployment schedule is scoped after pilot/diligence.
These are planning envelopes, not delivery commitments or SLAs.

## Founding Design Partner
The Design Partner path is for a bounded high-value enterprise workflow with an accountable owner, approved evaluation data, measurable acceptance criteria and a decision path. It is not an open-ended free beta. Evidence is private by default; customer names, logos, quotes, metrics and case studies require separate authorization after the evidence exists.

## Evidence policy
Aloria does not fabricate customers, case studies, outcomes, certifications, deployments, valuations or readiness. Public demos/walkthroughs do not automatically prove customer deployment, external certification, regulatory approval, fixed data residency or universal production readiness. Transferability is qualified by asset and buyer environment.

## Extended product portfolio
Enterprise AI Enablement OS, Docent Live, RefurbIQ, LicitaIQ, PMO Intelligence Suite and Aloria Prospect Studio have differentiated availability/evidence states and remain separate from the four-asset acquisition-market view.

## Aloria Commerce
Aloria Commerce is a separate business line for web systems, WhatsApp Commerce and AI Commerce workflows. Its SMB packaging/pricing must not be generalized to enterprise AI products.

Official Company LinkedIn: https://www.linkedin.com/company/aloria-ai/
Founder: Jovan Franco — https://www.jovanfranco.com/
Founder engineering evidence: Jovan 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 people or concurrent agents; this is a reconstructed owner audit, not an independent third-party audit. Evidence and methodology: https://www.jovanfranco.com/executive-evidence