✦ Synerise Platform

Synerise - the Behavioral AI, Data & Customer Engagement platform.

Q: What is Synerise?

Synerise is a Behavioral AI, Data & Customer Engagement platform. It brings together customer data, identity, AI, automation, channels and analytics in a single system that runs in real time.

Q: Is Synerise a CDP?

The Customer Data Platform (CDP) is one of Synerise's modules, but the platform goes further - it adds a layer of AI, decisioning, personalization, recommendations, search, loyalty and omnichannel communication.

Q: Which modules does the Synerise platform include?

Among others - CDP, Identity Resolution, Event Streaming, Consent Management, Data Activation, AI Decisioning, predictive models, recommendations, AI Search, automation, journey orchestration, loyalty, omnichannel communication, mobile engagement, analytics, and API and integrations.

Q: Does Synerise work in real time?

Yes. The streaming architecture processes events and makes decisions in milliseconds - from event to enriched profile in real time.

Q: What AI capabilities does Synerise have?

The platform is AI-native: behavioral models (BaseModel.ai), recommendations, predictions (churn, propensity, LTV), next best action, AI-based segmentation, forecasting and AI agents.

Q: What is BaseModel.ai?

It is Synerise's behavioral foundation model - proprietary AI technology trained on behavioral data at a scale of billions of events.

Q: Does Synerise provide MCP integration?

Yes. The platform's data and capabilities can be exposed to AI agents and LLMs through the Model Context Protocol (MCP), alongside classic APIs, SDKs and webhooks.

Q: Is Synerise secure and GDPR-compliant?

Yes. The platform provides data encryption, EU data residency, enterprise-grade security standards, GDPR and CCPA compliance, SSO/SAML, access control (RBAC), auditing and high availability.

Q: What does Synerise integrate with?

With CRM, ERP and POS systems, mobile and web apps, communication channels (email, SMS, push, WhatsApp), advertising platforms, the cloud and data warehouses - through APIs, webhooks and MCP.

Q: How is Synerise different from Salesforce, Manago AI (SALESmanago) or Emarsys?

Synerise is a single end-to-end system with its own AI stack (models, recommendations, search, event engine), running in real time, instead of combining separate tools. Migration from these platforms to Synerise is one of the most common projects.

An advanced Behavioral AI and Customer Data platform - built on proprietary technology, running in real time, at a scale of billions of events. Persooa is its strategic implementation partner.

Book a consultation Synerise Excellence Center

31B+behavioral events / month

<50 msfrom event to decision

99.99%availability SLA

500+production workspaces worldwide

What is Synerise

A Behavioral AI platform, not just another tool.

Synerise brings together data, identity, AI, automation, channels and analytics in a single system that runs in real time. It replaces a fragmented martech stack with one coherent decision layer for the entire organization.

Behavioral AI

The platform observes, models and acts on customer behavior in real time - at a scale of billions of events.

End-to-end

One system instead of a fragmented stack: data, identity, AI, automation, channels and analytics.

Real-time

From event to decision in milliseconds - personalization and actions with no delay.

Proprietary technology

A full in-house AI stack: models, recommendations, search and event engine - with no vendor lock-in.

Enterprise scale

A platform built for scale.

Synerise processes billions of behavioral events in real time on its own AI architecture - with enterprise-grade availability and security.

31B+

Behavioral events

processed monthly

6B+

Behavioral profiles

in a single data model

<50 ms

From event to decision

real-time processing

99.99%

Availability (SLA)

high-availability architecture

Proprietary AI/ML engine

BaseModel.ai - a behavioral foundation model. Fully proprietary technology.

Proprietary recommendation engine

Product and content recommendations computed in real time.

Proprietary search engine

AI Search with autocomplete, visual search and business rules.

Proprietary Event Engine

Real-time streaming event processing.

Real-time architecture

Decisions and personalization in milliseconds, not in an overnight batch.

No vendor lock-in

A full in-house technology stack - with no dependence on external vendors.

Synerise platform data (synerise.com).

Technologies

Built from the ground up.

Synerise develops its own technology stack - from the data engine, through AI models, to a behavioral CMS. It is proprietary technology, not an assembly of off-the-shelf, third-party components.

TerrariumDB

Synerise's proprietary data engine - schema-less, combining columnar and row storage, in-memory and on disk. Designed for behavioral data and real-time processing at massive scale.

BaseModel.ai

A behavioral foundation model. It turns raw events into dense behavioral profiles and powers predictions and personalization.

Cleora

Synerise's open-source embeddings model (graph embeddings) - the foundation for recommendations and event predictions; stable and scalable.

Brickworks

An AI-native, low-code behavioral CMS based on schemas. Build any data structures - from loyalty programs to catalogs - with native AI personalization and a single API call in every channel.

AI Engine

A scoring, recommendation and prediction engine that runs on behavioral profiles in real time.

Workflow Builder

Visual orchestration of scenarios and automation across the entire customer lifecycle.

Campaign Manager

Designing, launching and managing campaigns across all communication channels.

Identity & Access

Identity resolution, SSO/SAML and access control - the foundation for secure work with data.

Platform

A complete platform in one system.

A dozen-plus modules that work as a single whole - from the data foundation, through AI and decisioning, to orchestration, channels and analytics. Each module can be deployed independently and evolved over time.

Data and identity

Customer Data Platform (CDP)

One coherent 360° customer profile - all data, events and attributes in one place, in real time.

Solves: Data scattered across systems, inconsistent profiles and no single source of truth about the customer.
How it works: It unifies events from all sources (web, app, POS, systems), builds the profile on the fly and makes it available to the entire platform.
Example: A bank combines data from online banking, its app and the call center into a single profile used by all teams.
Works with: Identity Resolution, Event Streaming, AI Decisioning, Analytics.

Identity Resolution

Merging a customer's identity across multiple devices, channels and identifiers into one profile.

Solves: The same people seen as many different, anonymous users.
How it works: Deterministic and probabilistic matching of identifiers (email, cookie, device ID, login) with real-time resolution.
Example: A retailer recognizes the same customer in the online store, the mobile app and the loyalty program.
Works with: CDP, Consent Management, Omnichannel Communication.

Event Streaming

Streaming ingestion and processing of billions of behavioral events in real time.

Solves: Data latency and decisions made on an outdated picture of the customer.
How it works: A streaming architecture processes events in <50 ms from occurrence to an enriched profile.
Example: An airline responds to an abandoned booking within seconds, not in an overnight batch.
Works with: CDP, AI Decisioning, Journey Orchestration.

Consent Management

Managing customer consents and preferences in line with legal requirements.

Solves: The risk of acting on data without proper consent and a lack of control over preferences.
How it works: A central registry of consents and preferences enforced in every action and channel.
Example: An insurer automatically honors a customer's marketing consents across all campaigns.
Works with: CDP, Identity Resolution, Governance, Omnichannel Communication.

Data Activation

Turning data and segments into real actions - in owned and external channels.

Solves: Data that sits in the warehouse and never translates into action.
How it works: Segments and attributes activated live in communication, personalization and on advertising platforms.
Example: A telco activates a "churn-risk" segment simultaneously in email, push and advertising campaigns.
Works with: CDP, Prediction Models, Omnichannel Communication, Integrations.

AI and decisioning

AI Decisioning

A decision engine that selects the best action for the customer in real time.

Solves: Static rules that cannot keep up with customer behavior.
How it works: AI models assess the context and choose the next best action in milliseconds.
Example: A retailer tailors the offer and contact channel individually for each customer at the moment of interaction.
Works with: Prediction Models, Recommendation Engine, Journey Orchestration.

Prediction Models

Configurable predictive models: churn, propensity to buy, LTV, next purchase.

Solves: Not knowing which customers will churn, buy or are the most valuable.
How it works: Models trained on behavioral data, with predictions computed in real time.
Example: A streaming service predicts subscription cancellation and triggers retention actions ahead of time.
Works with: CDP, AI Decisioning, Data Activation, Analytics.

Recommendation Engine

A proprietary engine for 1:1 product and content recommendations - onsite, in-app and in communication.

Solves: The same content for everyone and low recommendation relevance.
How it works: Recommendations computed from behavior and context, in real time.
Example: A fashion store personalizes the product list for each user based on behavior.
Works with: AI Decisioning, Search, Omnichannel Communication.

AI Search

An AI search engine with autocomplete, visual search and business rules.

Solves: Customers cannot find what they are looking for and abandon the journey.
How it works: An engine that understands intent, with a data-driven index and rules.
Example: A marketplace suggests relevant results and synonyms from the first characters of a query.
Works with: Recommendation Engine, CDP, Analytics.

AI Agents

A layer of AI agents that observe data, detect anomalies and opportunities, and recommend actions.

Solves: The scale of activity outgrows the team's capacity, and opportunities slip away.
How it works: The agents work over the platform in a Human + AI model - the decision stays with the human.
Example: An agent detects a sudden drop in conversion within a segment and recommends a campaign adjustment.
Works with: AI Decisioning, Analytics, Journey Orchestration (at Persooa: Persooa Growth Agent).

MCP & AI Agent Integration

Exposing Synerise's data and capabilities to AI agents and LLMs through the Model Context Protocol (MCP).

Solves: The risk that data and the platform get cut off from the new layer of AI applications, assistants and agents.
How it works: An MCP server exposes the platform's data, analytics and actions to AI tools in a secure, structured way.
Example: A team queries data and runs analyses in Synerise directly from an AI assistant.
Works with: AI Decisioning, Analytics, API & Integrations.

Orchestration, channels and analytics

Journey Orchestration

Designing and running customer journeys across the entire lifecycle, in real time.

Solves: Inconsistent, disconnected messages across different channels.
How it works: Event triggers and real-time logic guide the customer along a coherent journey.
Example: A hospitality brand guides the guest from booking, through the stay, to post-departure communication.
Works with: Event Streaming, AI Decisioning, Omnichannel Communication.

Marketing Automation

Automation of campaigns and scenarios across the full customer lifecycle.

Solves: Manual, non-scalable campaign handling.
How it works: Scenarios with dynamic segmentation and real-time triggers.
Example: An FMCG brand runs automated onboarding, activation and reactivation scenarios.
Works with: Journey Orchestration, CDP, Loyalty.

Loyalty

Loyalty and promotion mechanics: points, tiers, vouchers, retention programs.

Solves: No tools to build lasting relationships and repeat purchases.
How it works: A promotion and loyalty engine integrated with the profile and communication.
Example: A grocery brand runs a loyalty program connected to the app and personalized offers.
Works with: CDP, Marketing Automation, Mobile Engagement.

Omnichannel Communication

Consistent communication across all channels from a single decision engine.

Solves: Channels operating in silos and an inconsistent message.
How it works: Email, SMS, push, in-app, web, RCS and WhatsApp driven by data and events.
Example: A media brand delivers a consistent message on the web, in the app and in push notifications.
Works with: Journey Orchestration, CDP, Consent Management.

Mobile Engagement

Engagement in the mobile app: push, in-app, content and personalization.

Solves: Low engagement and retention in the mobile channel.
How it works: A mobile SDK connected to the profile and scenarios in real time.
Example: A bank runs personalized in-app communication in its mobile app.
Works with: Omnichannel Communication, CDP, Loyalty.

Analytics

Behavioral analytics, attribution, funnels, segmentation and decision dashboards.

Solves: Decisions made on gut feeling, without insight into real behavior.
How it works: Analyses computed on behavioral data, available in real time.
Example: A utilities company analyzes customer journeys and bottlenecks in service.
Works with: CDP, Prediction Models, AI Decisioning.

API & Integrations

Open APIs, SDKs and connectors that link Synerise with the organization's entire stack.

Solves: Closed systems and difficulty connecting data with the rest of the architecture.
How it works: REST/GraphQL API, webhooks, SDKs (web, iOS, Android) and identity services.
Example: A manufacturer connects Synerise with its ERP, e-commerce and data warehouse.
Works with: CDP, Data Activation and all the other modules.

AI-native from the foundation.

At the heart of the platform is BaseModel.ai - a behavioral foundation model - together with proprietary algorithms (including Cleora). It is technology recognized in international AI/ML competitions, built into every module rather than bolted on from outside.

AI Native Platform

AI is part of the platform, not an add-on - from data ingestion to activation.

Machine Learning

Models trained on behavioral data at a scale of billions of events.

Predictive models

Churn, propensity, predicted next purchase and customer value (LTV).

Recommendations

Product and content, 1:1, computed in real time.

Next Best Action

Choosing the best action for the customer at the moment of interaction.

AI Segmentation

Segmentation based on prediction and real behavior, not static rules.

Forecasting

Forecasting behavior, demand and trends on behavioral data.

Generative AI

Generative support in creating content and configuring actions.

AI Agents

AI agents operating over the platform in a Human + AI model - the decision stays with the human.

Explore Persooa Growth Agent Synerise Excellence Center

Architecture

From signal to optimization.

Data flows through one coherent chain - from sources, through the profile and AI, to channels and continuous optimization.

Data sources

Customer Data Platform

Identity Resolution

Real-time processing

AI and decisioning

Automation

Channels

Analytics

Optimization

Integrations

Connects with your entire stack.

Open APIs, SDKs and connectors let you embed Synerise into your organization's existing architecture - without ripping out systems that already work.

CRM systems

ERP

POS

Mobile apps

Web

SMS / RCS

Advertising platforms

Cloud

Data warehouses

API / Webhooks

Streaming platforms

MCP (Model Context Protocol)

Security

Enterprise-grade security and compliance.

For organizations where customer data is a critical asset. Security, privacy and compliance are built into the platform at every level.

Synerise is designed for organizations where customer data is a critical asset. Security, privacy and compliance are built into the platform at every level - from encryption and EU data residency, through certifications and consent management, to access control, full auditing and high availability.

GDPR CCPA SSO / SAML Data in the EU Data encryption 99.99% SLA

SaaS · Private Cloud · On-premise

A deployment model tailored to your organization's policies and requirements.

Data and encryption

Data encryption at rest and in transit, data isolation and EU residency.

Compliance and standards

Enterprise-grade security standards and GDPR and CCPA compliance.

Identity and access

SSO/SAML, multi-factor authentication and roles (RBAC) with granular permissions.

Consent and privacy

Central consent management, the right to be forgotten and privacy by design.

Auditing and monitoring

A full audit trail, monitoring, penetration testing and vulnerability management.

Reliability

A high-availability (HA) architecture, a 99.99% SLA plus backup and disaster recovery.

Scale and reliability

Operational readiness at scale.

Scalability, performance, governance and reliability designed for the demands of large organizations.

Scalability

Linear scaling to billions of events with no loss of performance.

Real-time performance

Real-time processing and decisions (<50 ms).

High availability

An HA architecture with a 99.99% SLA.

Data governance

Data policies, roles and control at the organization level.

Composable architecture

Deploy independent modules (hubs) when you need them.

Flexible deployment model

SaaS, private cloud or on-premise - depending on requirements.

Product roadmap

A platform that keeps evolving.

Synerise continuously ships new features - from AI models and recommendations, through search and automation, to channels and integrations. The full, always up-to-date list of changes is published in the official changelog.

AI models and BaseModel.ai

Recommendations and personalization

AI Search

Automation and journeys

Analytics and predictions

Channels and communication

Integrations, API and MCP

Security and governance

Changelog & Roadmap

See what just landed in Synerise

The official, continuously updated list of new features and changes in the platform - straight from the vendor.

Open release notes

Advantage

Why global organizations choose Synerise.

Concrete, technical reasons why organizations choose Synerise.

Real-time by default

From event to decision in milliseconds - not in an overnight batch.

A full, proprietary AI stack

Models, recommendations, search and event engine in-house - with no vendor lock-in.

Composable architecture

Deploy independent modules (hubs) when you need them.

Planetary scale

Billions of events per month, linear scalability.

End-to-end

One system instead of scattered, disconnected tools.

Enterprise security

Enterprise-grade security standards and GDPR compliance; SaaS, private cloud or on-premise.

Industries

One platform, many industries.

Synerise proves its value wherever customer data drives advantage - not only in e-commerce.

Retaile-CommerceBankingInsuranceTelecommunicationsAirlinesTravelHospitalityMediaSportsUtilitiesHealthcareAutomotiveFMCGLogisticsB2BManufacturingPublic sector

Awards and recognition

Technology recognized in AI/ML competitions.

Synerise conducts its own AI research and ranks among the top in recognized international machine learning competitions.

KDD Cup 2021

Top placements in one of the world's most prestigious AI/ML competitions (OGB-LSC) - alongside teams like Baidu and DeepMind.

SIGIR eCom · Rakuten 2020

1st place in the international Data Challenge.

WSDM · Booking.com 2021

2nd place in the Data Challenge.

ACM RecSys · Twitter 2021

2nd place in the RecSys Challenge.

Cleora

A proprietary graph embeddings algorithm released as open research.

BaseModel.ai

A behavioral foundation model - Synerise's proprietary AI technology.

ACM RecSys Challenge 2025

Synerise as organizer and sponsor of the international recommendations competition.

Recognition from technology leaders

The platform cited by the likes of Microsoft as an example of AI acting on behavioral signals in real time.

References

Brands that build on Synerise.

Selected, public case studies showing how organizations across industries use the platform in practice.

Żabka

Convenience / Retail

In the żappka super-app, content changes dynamically in real time based on the AI recommendation engine. Synerise is also connected with the promotion management system.

AI RecommendationsReal-timePromotions

Empik

Retail / Omnichannel

Recommendations of products available in the customer's favorite store, real-time stock checks and notifications about availability in a nearby brick-and-mortar store.

CDPOmnichannelReal-time inventory

Carrefour

Grocery / Retail

Personalized recommendations in e-commerce, individual coupons and flyers in the mobile app, and personalized discounts in the loyalty program.

PersonalizationLoyaltyOmnichannel

Modivo / eobuwie

Fashion / e-Commerce

A central CDP, AI recommendations (BaseModel.ai) and personalized newsletters across the full customer lifecycle. Published Synerise results: +7% conversion, +21% open rate, +18% CTR.

CDPBaseModel.aiLifecycle

Source: public case studies and Synerise materials (synerise.com).

Persooa's role

Synerise is the capability. We activate it.

The platform provides the technology - the advantage comes from how it is implemented and used. Persooa is one of Synerise's most experienced implementation partners: we implement, configure, migrate and evolve the platform in a Human + AI model.

180,000

hours of Synerise implementations

100+

implementations

100+

brands and organizations

Book a consultation Synerise Excellence Center

FAQ

Frequently asked questions about Synerise.

Short, concrete answers - also prepared for search engines and AI assistants.

What is Synerise?

Synerise is a Behavioral AI, Data & Customer Engagement platform. It brings together customer data, identity, AI, automation, channels and analytics in a single system that runs in real time.

Is Synerise a CDP?

The Customer Data Platform (CDP) is one of Synerise's modules, but the platform goes further - it adds a layer of AI, decisioning, personalization, recommendations, search, loyalty and omnichannel communication.

Which modules does the Synerise platform include?

Among others - CDP, Identity Resolution, Event Streaming, Consent Management, Data Activation, AI Decisioning, predictive models, recommendations, AI Search, automation, journey orchestration, loyalty, omnichannel communication, mobile engagement, analytics, and API and integrations.

Does Synerise work in real time?

Yes. The streaming architecture processes events and makes decisions in milliseconds - from event to enriched profile in real time.

What AI capabilities does Synerise have?

The platform is AI-native: behavioral models (BaseModel.ai), recommendations, predictions (churn, propensity, LTV), next best action, AI-based segmentation, forecasting and AI agents.

What is BaseModel.ai?

It is Synerise's behavioral foundation model - proprietary AI technology trained on behavioral data at a scale of billions of events.

Does Synerise provide MCP integration?

Yes. The platform's data and capabilities can be exposed to AI agents and LLMs through the Model Context Protocol (MCP), alongside classic APIs, SDKs and webhooks.

Is Synerise secure and GDPR-compliant?

Yes. The platform provides data encryption, EU data residency, enterprise-grade security standards, GDPR and CCPA compliance, SSO/SAML, access control (RBAC), auditing and high availability.

What does Synerise integrate with?

With CRM, ERP and POS systems, mobile and web apps, communication channels (email, SMS, push, WhatsApp), advertising platforms, the cloud and data warehouses - through APIs, webhooks and MCP.

How is Synerise different from Salesforce, Manago AI (SALESmanago) or Emarsys?

Synerise is a single end-to-end system with its own AI stack (models, recommendations, search, event engine), running in real time, instead of combining separate tools. Migration from these platforms to Synerise is one of the most common projects.

Which industries is Synerise for?

For many industries - including retail and e-commerce, banking, insurance, telecommunications, travel and hospitality, media, FMCG, logistics, automotive, utilities and B2B.

Can you migrate to Synerise from another platform?

Yes. Migration from Salesforce, Manago AI (SALESmanago), Emarsys, Klaviyo or Braze to Synerise is carried out without losing data, consents or operational continuity.

What is Persooa Growth Agent?

It is the operational layer of AI agents over Synerise: it watches over data, detects anomalies and opportunities, and recommends actions in a Human + AI model. Explore Persooa Growth Agent.

What is the Persooa Synerise Excellence Center?

It is Persooa's delivery competency focused on Synerise - implementations, migrations, audits, optimization, training and running the platform. See the Synerise Excellence Center.

Who implements Synerise?

Persooa is one of Synerise's most experienced implementation partners - with 180,000 hours on the platform, over 100 implementations and more than 70 certifications.

Implementation and migration

Let us talk about how to unlock the full power of Synerise.

Implementation, migration from another platform, an instance audit or evolving an existing setup - we will show you how to do it right. No obligations.

Book a consultation See Persooa Growth Agent