Everything you want to know about Notivex

Notivex is an AI-native operational communication platform that manages internal critical notifications with mandatory visibility, acknowledge records, SLA tracking, automatic escalation, an audit trail and AI-assisted decision support.

It makes critical communication — unmeasurable on email, WhatsApp, Teams and phone — visible, acknowledged, time-tracked and reportable. It answers “seen, approved, acted upon” instead of just “message sent”.

Email and WhatsApp focus on delivering a message. Notivex tracks whether the message was seen, whether it was approved, whether it turned into action within the SLA, and whether it’s reportable for audit.

Acknowledge telemetry is a measurement layer that timestamps when a user saw, read, approved or acted on a notification.

For critical notifications, delivery alone isn’t enough. You need to track whether action was taken within the defined time, make delays visible and trigger escalation when needed.

An audit trail turns the entire process — from notification creation to user approval, action record and escalation — into an auditable, timestamped history.

In municipalities it delivers critical notifications to the right units during disasters, infrastructure issues, field operations and IT outages, tracks approval and action status, surfaces SLA breaches and provides auditable reports to leadership.

In water and sewage authorities it delivers critical notifications to the relevant team for faults, floods, pump stations and field response, tracks response status and triggers the escalation flow on SLA breach.

In hospitals it delivers critical notifications to relevant staff for emergency codes, protocol changes and technical faults, enforces mandatory visibility with fullscreen alerts, tracks approval status and reports to management.

For banks and holdings, critical communication must be fast, secure, role-based and auditable. Notivex is positioned with on-premise / hybrid scenarios, local LLM, a provider-agnostic AI layer, audit trail, SLA and escalation.

Notivex is positioned to be technically evaluated for on-premise, hybrid or air-gapped scenarios for public, banking and privacy-sensitive institutions.

A local LLM is an architectural approach that can let AI processing run on the institution’s own infrastructure without sending data outside. It’s critical for privacy-sensitive institutions.

Pricing is assessed by user count, locations, module scope, deployment type, integration needs, support level and AI usage. Public-sector and enterprise customers get a tailored quote model.

On-premise, hybrid, air-gapped, local LLM, LDAP/SSO, integration and security requirements are clarified during technical evaluation, reviewing specs and RFP/RFI documents together.