Platform Architecture

Enterprise Infrastructure.
Zero Compromise.

Prezio operates as a composable intelligence layer built on a single principle: every subscriber interaction should trigger a personalized, margin-optimized decision. Automatically. In real time. Across every channel.

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Decide
Deliver
Enrich
Orchestrate

The Decision-to-Delivery Pipeline

A continuous bidirectional loop. Offer decisions flow out to channels; subscriber behavioral data flows back in. Nothing runs on batch schedules. Everything is live.

01
Decide
Decision Hub evaluates subscriber context and generates a ranked four-tier offer payload in under 200ms.
02
Enrich
Offer metadata syncs with the subscriber's real-time profile. Dynamic Media assembles aligned creative assets.
03
Orchestrate
Journey Optimizer activates the personalized offer across the subscriber's optimal channel with precise timing.
04
Deliver
The composed offer reaches the subscriber through App, Web, SMS, Email, WhatsApp, or Bank App across all 30+ touchpoints.
<200ms
End-to-end decision latency
30+
Active delivery channels
Real-Time
No batch windows, ever
Bidirectional
Data flows in and out continuously

Built on Enterprise-Grade Infrastructure

Four layers that make real-time decisioning possible at scale. Scroll to explore each.

Analytical Foundation
GCP BigQuery & Analytical Foundation

Google Cloud Platform's serverless data warehouse serves as Prezio's foundational analytical layer. BigQuery processes subscriber-level behavioral data at petabyte scale, powering the Simulation Engine, Experimentation analytics, and ML model training with the throughput required for real-time decisioning accuracy. No infrastructure provisioning. No query limits. No batch windows.

Petabyte
Scale of subscriber behavioral data processed
Serverless
No infrastructure provisioning required
Real-Time
No batch windows for decisioning analytics
GCP
Enterprise-grade cloud infrastructure foundation
Self-Learning Intelligence
Inbuilt ML Models & Self-Learning

Prezio embeds propensity scoring, churn prediction, and price elasticity models directly within the platform. Models retrain continuously against live conversion signals, improving decisioning quality over time without manual redeployment or external ML tooling. The system gets smarter with every subscriber interaction it processes.

3
Embedded model types: propensity, churn, price elasticity
Continuous
Retraining against live conversion signals
Zero
Manual redeployment required for model updates
External
ML tooling dependencies eliminated
Autonomous Operations
AEP Agent Orchestration & AI Agents

Prezio operates within the Agent Orchestration framework. AI Agents autonomously manage segment refresh, offer constraint validation, and journey trigger evaluation across multi-brand environments, reducing operational overhead for large-scale deployments. Agents act on behavioral signals, not manual triggers, ensuring the platform operates at the speed of subscriber behavior.

Autonomous
Segment refresh managed by AI agents
Multi-Brand
Agent operation across brand environments
Reduced
Operational overhead for complex deployments
Real-Time
Agent response to behavioral triggers, not schedules
Headless & Composable
API-First / Headless Architecture

Every Prezio capability is exposed as a documented REST API following OpenAPI 3.0 specification. The headless design means any touchpoint, Mobile App, E-Commerce, Bank App, or any new channel, consumes offer decisions without tight coupling to the platform's internals. New channels are onboarded without re-engineering the decisioning layer.

OpenAPI
Full OpenAPI 3.0 specification documentation
REST
All platform capabilities exposed as REST APIs
Any
Touchpoint can consume decisions without re-engineering
Zero
Tight coupling between channels and decisioning layer

Privacy-by-Design.
Built into Every Decision.

Privacy and personalization are not in conflict. Every subscriber data operation, offer decision, and channel activation is governed by a comprehensive privacy-by-design framework that meets the sovereignty obligations of multi-jurisdiction telecom operators.

Step 01
Subscriber data enters Real-Time Profile
Step 02
Consent validated against preferences
Step 03
Regional residency enforced on GCP
Step 04
Prezio reads authorized profile context
Step 05
Decision logged with full audit trail
Data Sovereignty
Subscriber profile data remains within designated regional GCP infrastructure. No cross-border data transfer without explicit regulatory authorization.
Consent Management
Subscriber opt-out signals propagate to the Decision Hub in real time, excluding opted-out profiles from personalized decisioning at the point of decision, not downstream.
Full Audit Trail
Every offer decision, segment assignment, and pricing rule evaluation is logged with complete lineage tracking, supporting regulatory reporting and internal accountability.
Role-Based Access
RBAC with defined roles for Pricing Analyst, Segment Manager, Simulation Operator, Experiment Manager, and Platform Administrator. Privileged access requires MFA.

Enterprise-Scale. Real-Time Speed.

Performance specifications that reflect production behavior, not lab conditions.

<200ms
Offer decision latency via synchronous API for real-time App and Web interactions
Seconds
Asynchronous journey trigger activation after a qualifying subscriber event
10K+
Concurrent offer decision requests per second supported across all active channels
Near
Real-Time
Segment membership refresh as new profile events arrive. No batch window.
99.95%
Monthly uptime target with rapid disaster recovery across all platform tiers

See the Architecture in Action

Request a live technical demo and see how Prezio's decision-to-delivery pipeline integrates with your existing stack in a real production walkthrough.