Agentic AI refers to systems that can operate independently, making decisions and taking actions based on predefined rules and objectives to enhance integrations and services.
Generative AI creates unique content and solutions, enabling innovative approaches for integrations and services.
Native connectors to ERP, CRM, collaboration, and custom line-of-business apps let agentic workflows orchestrate cross-system processes without heavy middleware.
Plug any LLM or embedding model (OpenAI, Hugging Face, Mistral) and framework (LangChain, Chroma, MLflow) into unified APIs—so you mix and match generative components with agent logic freely.
Build and deploy production-grade AI apps with Streamlit, Dash, Shiny or Tableau integrations, embedding agentic and generative features directly in the interfaces your users already love.
One-click integrations with Snowflake, Databricks, AWS, Azure, Google Cloud and on-prem databases give agents instant, governed access to all your data—no bespoke ETL required
Auto-scale workloads across NVIDIA GPUs, hybrid-cloud clusters, or on-prem servers, ensuring your generative models and agents run reliably under any demand
Incorporating agentic and generative AI elevates the performance and scalability of integrations and services.
