Los motores bajo el capó.
Una capa de inteligencia ampliada impulsa todos los productos de ALTeX Hub. Cada acelerador hace bien una tarea, y todos los productos pueden utilizarlo.
01Los aceleradores
Anode
Detección de anomalías en cualquier conjunto de datos. Cargue un archivo y Anode identifica qué datos contiene, recomienda los campos que conviene probar y ejecuta un conjunto de modelos no supervisados (Isolation Forest, One-Class SVM, puntuación z e IQR) para sacar a la luz las líneas que no encajan. Sin configuración y sin necesidad de contexto.
Chat with Data
Preguntas en lenguaje sencillo sobre datos en vivo, con gráficos automáticos. Sin SQL.
Correlator
Muestra dónde se concentran los fallos de control entre unidades de negocio y periodos, y revela patrones que ninguna prueba aislada mostraría.
ML Engine
Puntúa la probabilidad de que cada excepción sea real, prevé tendencias y se reentrena continuamente con sus decisiones.
ALTeX SDK
Componentes de integración reutilizables y desarrollo de agentes con gobernanza, para que los nuevos análisis lleguen antes a producción.
Six layers of smart technology, one governed stack
Each layer catches what the one below it misses.
- 06AI agents
Orchestrate the stack: gather, test and draft, supervised.
ExampleA whistleblower tip triaged in 30 minutes
- 05LLMs
Read and write language: contracts, claims, emails.
ExampleBilling above contract clause 7.2
- 04Machine learning
Find what is unusual in many ways at once.
ExampleA vendor ranked 1 of 2,140 by risk
- 03Process mining
Show the real process flow from system logs.
ExampleInvoice before order; approvals bypassed
- 02Analítica
Statistics against a baseline.
ExampleBenford’s law; a scrap rate twice that of peers
- 01Rule-based insights
Known schemes written as tests.
ExampleThe same invoice paid twice; split orders
- 00Data foundation
ERP plus dark data: logs, documents, plant and dealer systems, through read-only connectors.
Agents gather, test and draft. People decide.
Supervised autonomy: agents never decide, contact anyone or sign off. Every step is logged and replayable, and data stays read-only in your environment.
Lo que muestra el vídeo explicativo.
- Every ALTeX Hub product runs on one governed stack. Each layer catches what the one below it misses.
- A tip is logged, the data pulled read-only and the case scored. Then it waits for a person: the auditor approves.
- Agents never decide, contact anyone or sign off. Every step is logged and replayable, and the data stays read-only.
Six delivery accelerators, ready to order
Biblioteca de inteligencia de controles
750+ configurable rule-based and analytic insights, each mapped to a scheme, a control and a data source.
Get a quote →Conectores de solo lectura
SAP ECC, S/4HANA and other sources into one common data model.
Get a quote →Puntuación de ML explicable
Proveedores, empleados y plantas puntuados a diario, cada uno con códigos de motivo en lenguaje sencillo.
Get a quote →Lector de documentos con LLM
Contracts, invoices and claims read in many languages, with confidence scores.
Get a quote →Agentes supervisados
Agents gather, test and draft; every step is logged; people approve every decision.
Get a quote →Del hallazgo al cierre y gobernanza
Owners, deadlines and closure evidence, with privacy and EU AI Act documentation ready.
Get a quote →Five shifts that will define the next audit cycle
Aseguramiento continuo
Testing every transaction becomes the default; annual sampling becomes the exception.
Agents under supervision
Agents gather, test and draft; auditors review, judge and decide.
Smart technology against smart fraud
Document forensics and deepfake checks built into payment controls.
Audit of algorithms
Models used in finance and audit need assurance themselves.
Dark data in scope
Logs, documents and plant data join the ERP as standard audit evidence.
Agents in anti-fraud work: 8% today, 31% expected by 2028 (ACFE and SAS, 2026).
¿Dónde se esconde su dinero?
Tres minutos para una estimación. Treinta minutos para un plan. Seis semanas para hallazgos valorados con sus propios datos.