The ecosystem.Ai
Prediction Platform

The first low-code environment to combine behavioral
interaction science with real-time machine learning

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Install the prediction platform

Explore documentation on our developer site

Deliver AI That Learns Continuously and Adapts in Real-Time

Built for Continuous Learning

Your models evolve in real time with live data and feedback

Always-On AI

Ensure uninterrupted predictions through continuous, zero-downtime operations.

Low-Code Workbench

Build, deploy, and manage AI without deep technical effort.

Modular and Headless

Integrate AI seamlessly into your existing architecture with APIs

Explainable and Causal

Transparent and traceable, outcome-focused models.

The Workbench

Low-code visual AI development and management

Use a visual, low-code interface to create, manage, and iterate on AI workflows from data prep to deployment, giving both technical and non-technical users full control over predictive capabilities.

Feature enrichment interface used to augment input data with derived attributes for improved AI performance.

Drag-and-drop pipelines for data preparation, modeling, and deployment

Integrated experiment management and monitoring

Designed for business users, data scientists, and product teams alike

Overview screenshot of the ecosystem.Ai Prediction Platform highlighting key modules and orchestration capabilities.

Prediction Server

Real-time AI execution layer

Deliver high-speed, intelligent predictions at scale with a robust execution layer that continuously adapts based on live signals, all without ever going offline.

Supports dynamic model execution and learning in production

Injects facts and feedback for continuous optimization

Deployed on cloud or on-premise without service interruptions

The Client Pulse Responder

In-production learning layer

Enable always-relevant personalization through embedded feedback loops that refine model performance in real time, with a clear focus on causality and explainability.

Architecture diagram of the ecosystem.Ai platform showing integrated modules and real-time processing layers.

Feedback loops to update models without redeploying

Trained by real interactions, not just historical data

Built to support always-relevant personalization

Grafana dashboard integrated with ecosystem.Ai, providing real-time operational insights and model monitoring.

Real-Time & Business Dashboards

Grafana and Superset integration for deployment monitoring

Track the performance and reliability of every model in real time with intuitive dashboards that ensure teams have the visibility they need to optimize decisions continuously.

Real-time analytics and visualizations

System health, model performance, and prediction tracking

Interfaces designed for both technical and non-technical teams

Headless Product Architecture

Open integration layer

Easily integrate ecosystem.Ai with your existing tools and infrastructure using open APIs, SDKs, and connectors, supporting both commercial systems and open-source frameworks.

Detailed UI of the ecosystem.Ai platform showing modular workflow and user interactions.

REST APIs and Python SDK

Built-in connectors for CRMs, data lakes, Grafana, and NLP tools

Support for open-source models and external ML libraries

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Fast-start solutions or custom builds

Pre-Configured Modules Designed for the Rapid Deployment of Targeted Use Cases

Build your own Modules

Use the Prediction Platform to design, deploy, and manage models tailored to your exact business needs

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Understanding Platform, Modules, and Solutions

Expand Your AI Access One Platform with Unlimited Growth

The Prediction Platform

The foundation: a low-code, real-time environment where AI models are built, deployed, and continuously improved.

Modules

AI components built on the Platform, either pre-configured for rapid use cases or custom-built to suit your unique needs.

Solutions

Combine the Platform with one or more Modules to solve a specific business challenge. ready to go, endlessly adaptable.

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How the Prediction Platform works

Build and deploy AI across your stack with real-time feedback and continuous learning

1
Ingest & Prepare Data using the Workbench
2
Develop Models with pre-built templates or custom logic
3
Experiment & Test predictions with live simulations
4
Deploy in Real-Time via the Prediction Server
5
Monitor & Optimize through feedback loops and dashboards

Harness the Full Potential of the Prediction Platform

Create scalable, explainable, always-on AI with the ecosystem.Ai Prediction Platform, featuring modular infrastructure and real-time AI deployments. Start with one module or power your full stack—either way, you’re building a future-proof AI foundation.

Faster Time-to-Value

Launch models without long build cycles

Real-Time Engagement

Launch models without long build cycles

Lower TCO

Replace complex pipelines with unified tools

Trustworthy AI

Make decisions with explainability and transparency

Scalable Foundation

Expand effortlessly from a single module to a complete AI ecosystem

In-Production Learning

Keep your models responsive by learning from real-time customer behavior

Headless Flexibility

Integrate seamlessly into your existing digital experience stack

Modular Growth

Add new capabilities as your needs evolve with no replatforming required

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The ecosystem.Ai Prediction Platform

The first low-code environment to combine behavioral interaction science with real-time machine learning