The world’s most advanced behavioral AI infrastructure
Cutting-edge AI-driven infrastructure tailored for collecting, analyzing, and interpreting behavioral data. By leveraging the power of AI and machine learning, we transform raw behavioral data into actionable intelligence, enabling organizations to make data-driven decisions with unprecedented accuracy and efficiency.
Join innovative organizations using Synerise Platform and explore hundreds of low code use cases
"Synerise is able to track every event, across every channel, for the customer - whether it's mobile, it's web, it's retail, physical presence."
"All of that is signal that's being continuously collected, processed, and then in turn AI is being applied, workflows are being applied to drive the experience"
Satya Nadella about Synerise
CEO, Microsoft
Unified Synerise Experience Platform
A fully integrated suite of behavioral intelligence products
We created an end-to-end experience & continuous intelligence framework - connecting modern data collection, processing methods & analytics with AI-driven business scenarios execution.
Integrate data
Heterogeneous data sources integration
Products & offers
Click Streams
Calls, surveys & chats logs
Online & POS Purchases
Behavioral Profiles
3rd party data
Weather
Location
Unify Information
Behavioral profiles & actions in one place
Consent Management
Unified Profile View
Profile Merging policy
Deep Analytics (LTV, CLV,RFM)
Dynamic attributes
Loyalty program
Expressions & Dynamic Aggregates
Direct messaging
Manage Data & Control Access
Security by design
ACL & Password policies
Data self-service importer
API Access Management
Stream Events Manager
Catalogs
Custom objects
Params manager
Advanced filtering
Analyze lifetime data streams
Actionable & advanced analytics & BI
Attribution modeling
Dynamic Metrics
Funnels
Segmentation
Histograms & Trends
Sankey Diagrams
Churn Analytics
Reporting & Dashboarding
Predict, decide & personalize
ML & deep learning supported decisions
Scoring & Propensity
Recommendations
Automatic Insights
Price & Assortment Logic
Predictions
AI Search
Personalised offers
Time optimizer
Automate, Optimize & Execute
Experience orchestration
A/B/X Testing
Data Transformations
External System Sync
Service Prioritization
Workflows building
Content Studios
Autonomous scenarios
Contextual Messaging
Deliver content & activate profiles
Omnichannel communication
SMS
EMAIL
Mobile Push
Web Push
Web Dynamic Content
In-App
External Apps & POS
Social Networks
AD Networks
Create, connect and extend features
Custom extensions, APPs & dedicated portals
Registrationas a Service
Login as a Service
Unified API Access
Templates & Cookbooks
SAML
Design System
Hot & Cold storage access
SDKs & Webhooks
Recommendations on an empty basket
Use the potential of emptied basket by displaying AI recommendations
Segment creation based on quantiles
Reach a specific audience by defining a segment based on quantiles
Recommendations compliant with the Omnibus
Create personalized recommendations that show the lowest price over the last 30 days for discounted products
Low-stock abandoned cart campaign
Create low-stock campaign for customers with abandoned carts
Dynamic report for products bought together with top 10 products
Create a report with top 10 complementary products to top 10 bestsellers
Recommendations of similar products with item context
Create a carousel of product recommendations similar to items recently added to favorites
Personalized promotion in the mobile app with display time limitation
Create a personalized mobile promotion available to the customer within a specified time frame
Send a list of profiles from Synerise to Google Ads
Send propenisty-based customer segmentation to Google Ads
Dailymotion.com has applied EMDE/BaseModel.ai to personalize video recommendations in native applications, leading to improved relevance and catalog coverage
EMDE (BaseModel.ai) gives us a generalised framework for recommendations. The embedding generation was superfast (i.e <5 minutes). For context, do remember that GraphSAGE took ~20hours for the same data in the NCR region.
BaseModel.ai is core for all AI services offered in Synerise platform
BaseModel’s powerful behavioral analysis enables us to make sure that our clients receive communication tailored specifically to their preference.
BaseModel.ai
Apply science to behavioral data. Automatically. Get answers for all crucial questions.
Reduce your modeling life-cycle to days instead of months
General
How do daily customer interactions influence their future behaviors?
Retail
How much will the customer spend in a specific category next week?
Travel
What is the customer’s expected number of trips this year?
Customer Service
What is the customer’s likelihood of using a special offer?
Telco
How much data traffic will the customer use this month?
Health
How many diagnostic tests will the patient need this year?
Insurance
How many insurance policies will the customer subscribe to this year?
Gaming
How many power-ups/bundles will the gamer buy this month?
Banking
What is the customer’s projected profitability in the next quarter?
Ecommerce
Which products/promotions/ offers/categories the customer is interested in?
Home & Furniture
How to split the customer population into behaviorally distinctivegroups?
Automotive
What kind of product/category is the customer interested in and why?
Software
Will the customer churn in the near future and what events had an impact on that?
Payments
What is the utility of customer for your business and what arethe behavioral and sociodemographic factors affecting it?
Fashion
Will the customer make a purchase next week? Whatsteps need to be taken to increase the chance of purchase?
Security
Is recent behavior of the customer inconsistent with past habits?
Compliance
Are there outlier customers in the population, who might be worth looking into?
News & Publishing
Will the reader subscribe to a premium plan?
Simple. Fast. Powerful.
Cleora
General-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Sair is a lab focused on behavioral modeling, recommendations, large-scale data and graphs processing. We share our ideas, models, and experimental results, also presenting our take on important breakthroughs and interesting technologies. We hope to build a better and more thorough understanding of the field. We believe in the importance of this research not only from a business perspective but most importantly as a study of human decision-making processes.
Having achieved remarkable successes in natural language and image processing, Transformers have finally found their way into the area of recommendation.
Temporal graph models fail to capture global temporal dynamics
We propose a trivial optimization-free baseline of "recently popular nodes" outperforming other methods on all medium and large-size datasets in the Temporal Graph Benchmark.
.png)
.png)
.png)
.png)
.png)
