Building your own
human-centric interactions

Designed to help you build smarter, more adaptive recommendation systems powered by human behavioral algorithms. with end-to-end machine learning capabilities, including a fact-injection framework powered by agentic journeys to guide the use of generative models. Respond in real-time and track customer changes as they happen.

A no-code graphical user interface that provides users with the tools and functionalities needed to build, deploy, and manage artificial intelligence and machine learning models. Configure AI projects and manage ecosystem.Ai Modules with no coding knowledge required.

Low-code environment for data scientists, developers, and tech-savvy users aiming for a hands-on experience in creating, evaluating, and launching AI and ML models in real-time. Deliver value in this versatile, code-centric space for comprehensive data study, model development, and experiments.

CPR dynamically monitors and reacts to customer interactions and behaviors in real time. By actively managing the “pulse” of the customer base it enables businesses to maintain a high level of customer satisfaction, foster loyalty, and drive engagement through personalized and timely interactions.

Embedded generative AI with large and small LLMs. Perform natural language data lookups and generate Spend Personality specific messaging. Use Fact Injection to build guardrails in customer-facing generative chat interfaces. Prevent model hallucination and ensure your customers get only the right information without the need for human intervention.

Utilize the Ecogentic agent functionality to build your own agent-based messaging framework. Design message journeys, write content for experiments, and embed action-specific recommenders. Track customer interactions at every point by embedding action alerts and allow for continuous learning by using dynamic experiments throughout each messaging journey.

CPR dynamically monitors and reacts to customer interactions and behaviors in real time. By actively managing the pulse of the customer base it enables businesses to maintain a high level of customer satisfaction, foster loyalty, and drive engagement through personalized and timely interactions.

Seamless connection to Superset Dashboards allow for business tracking. Quickly identify successful or underperforming predictions. Lightweight with intuitive design, Superset allows for all skill-types to explore their data, making it easy to make strategic decisions and monitor performance.

Easily access Prediction Platform logs for various actions. Perform server error lookups, run logging scripts, and view every roles actions in a project and deployment. Process prompt enrichment from prompt libraries, generate Client Pulse Responder feature stores, restore lost databases, and more.

Scheduling pipelines for enterprise databases with Airflow. Retrain models, update deployments, and automate changes in milliseconds using the AI-powered predictive analytics platform. Increase continuous intelligence with automated model pipelines that enhance your data and allow models to be productionized more efficiently.

Open-source technology for enterprise-ready configurations. Training and scoring servers simplify your training process with default models and pre-defined scoring templates. Includes pre-prepared personality, sentiment, and topic-analysis models ready to build into your application. Easy access via API.

Access various pieces of helpful functionality. The Prediction Platform offers you the ability to connect your own databases directly to the ecosystem, run enrichments, and link to new projects. Utilize calendars to plan prediction deployments and define seasonal campaigns. Build, view, and run simulations on new models while projects are in production and update everything in real-time.