Enterprise AI for Real-Time Predictions
For teams who need real-time predictions without batch delays or black-box models. The enterprise AI toolkit for real-time personalization, predictions, and intelligent automation at scale.
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Why prediction matters now
Customers expect relevance in the moment. Your AI needs to keep up with real-time behavior, deliver explainable outcomes, and ship from a single environment—not stitched-together point solutions.
Reacting to yesterday
Batch-based pipelines react to yesterday's data while customers act in real time.
Black-box blind spots
Black-box models lack explainability—unacceptable in regulated industries.
Siloed tools
Siloed tools fragment the customer journey across channels and teams.
Model drift
Manual retraining causes model drift and stale predictions that erode trust.
Platform Capabilities
Real-time, explainable, and unified—everything you need to build, deploy, and scale AI-powered experiences.
Client Pulse Responder
Always-on inference runtime. Scores events in milliseconds, supports continuous online learning, and runs 24/7 in production—no batch retraining required.
Continuous Online Learning
Models update with every interaction in production. No scheduled retraining—predictions stay fresh as behavior changes.
Incremental learning, feedback loops
Pre/Post-Predict Hooks
Plugin architecture for pre-predict data enrichment and post-predict business logic, API configuration, and action triggers.
Plugin hooks, middleware
Closed-Loop Feedback
Every prediction outcome is logged and fed back to the model automatically, closing the learning loop without manual intervention.
Grafana Dashboards
Real-time monitoring of model performance, conversion metrics, A/B test results, and drift detection—all in one view.
Grafana, Prometheus
Time to Value
From first successful data connection to live predictions in weeks, not months.
Connect & Configure
Connect data sources and load behavioral module templates in the Workbench.
Experiment & Iterate
Configure experiments, run first dynamic models, and validate against live data.
Go live
Production deployment via the Pulse Responder with continuous learning active.
Platform Components
Five integrated components that work together to deliver real-time predictions at scale.
Workbench
No-code web interface. Load solution modules, ingest data, configure models, deploy predictions—all without coding.
Prediction Server
Core ML engine managing data engineering, model training, and inference. Worker architecture for plugging in the latest algorithms.
Client Pulse Responder
Always-on inference runtime. Scores events in milliseconds, supports continuous learning, runs 24/7 in production.
Notebooks
Integrated Jupyter environment with Python libraries. Custom model development, generative AI workflows, full API access.
Grafana Dashboards
Real-time monitoring of model performance, conversion metrics, A/B test results, and drift detection.
AI Agent Builder
Design and deploy autonomous AI agents with predictive logic, prompt libraries, and fact-injection—no ML expertise required.
Superset Dashboards
Self-serve analytics powered by Apache Superset. Explore data, build dashboards, and share insights across teams.
Simulations Lab
In-product data visualizations and analytics for testing strategies, modeling outcomes, and validating predictions before they go live.
Behavioral Algorithms
Pre-built algorithms for spend personality, churn propensity, engagement scoring, and more—trained on real-world behavioral patterns.
Model Library
Choose from pre-configured models or build your own. Mix classical ML, deep learning, and reinforcement learning in a single workflow.
Platform Architecture: Components & APIs
Tap each component for technical details.Hover over each component for technical details.
Integration partners
Platform capabilities
Integration partners
Continuous Learning Loop
Every prediction is an experiment that yields data to refine the next prediction.
Stream behavioral, transactional, and contextual data in real time
Score events via the Pulse Responder in <50ms
Serve personalized decisions to any channel via API
Log every outcome; monitor via Grafana dashboards
Feedback updates models instantly—no batch retraining
Strategies evolve as behavior changes
Stream behavioral, transactional, and contextual data in real time
Score events via the Pulse Responder in <50ms
Serve personalized decisions to any channel via API
Log every outcome; monitor via Grafana dashboards
Feedback updates models instantly—no batch retraining
Strategies evolve as behavior changes
Algorithms & Modules
In-house behavioral algorithms and pre-configured AI modules—mix and match to build any use case.
Spend PersonalityMoney PersonalityDigital PersonalitySentimental EquilibriumEpsilon-greedyEcosystem RewardsThompson SamplingNaive BayesLoss AversionProspect TheoryIndustry Applications
Proven use cases across six industries—each powered by the same platform.
Fraud detection with real-time transaction scoring and graph-based analysis
Spend personality profiling to match products to how customers actually spend
Cross-sell optimization using predictive lead scoring and next-best-offer
Integration & Extensibility
Connect to any system, extend with custom logic, deploy anywhere.
API Connections
Connect to any live or front-end environments with just a click of a button.
Plugin Architecture
Pre-predict, post-predict, and API configuration hooks for custom business logic.
Cloud-Native
Docker, Podman, and optional Kubernetes orchestration with AWS/Azure/GCP marketplace support.
Event-Driven
Real-time streaming for behavioral data pipelines and event-sourced architectures.