"Let Talk About RAISE:Where GenAI Becomes Business Ready"

Capgemini RAISE recent in news and annoucements as of January 2026 which is their flagship Reliable AI Solution Engineering Platform.

RAISE is a modular,scalable GenAI development and operational accelerator designed for building,deploying and managing custom generative AI solutions,AI agents and agentic workflows with strong emphasis on trust,cost control,governance and scalability.

It is positioned as "GenAI factory" or AI accelerator helping enterprises move from AI experimentation to production-scale results.

Main sections of RAISE includes:

• RAISE User Experience_ — Front-end tools like Agent Gallery (a showcase/repository of ready agents), Workbench (development environment), GenAI assistant, Dashboards, Monitoring & Support, Persona-based interfaces, and Admin controls.
• RAISE Agent Orchestration — Core engine for running agents: workflow orchestration, microservices-based orchestration, Agent Adapters, Process Registry.
• RAISE Agent Builder — Tools for creating agents: Standalone Agents, Multi-Agents, Multi-Framework support, Data Pipelines, Prompt Generation, Agent Registry, Templates, Guardrails/Security.
• RAISE Agent Memory — Different memory types (short-term, long-term, contextual) to give agents better "recall" and state management.
• RAISE Agent Enablement — Tools, frameworks, data products, foundation models/SLMs (small language models), observability, versioning, feedback loops.
• RAISE Agent Integration — Connectors for the real world: APIs/Gateways, Data Connectors, External Tools, Enterprise System Connectors, Event/Messaging, Agent Communication Protocols, Retrieval-Augmented Generation (RAG).
• Data & Storage Layer — Underlying infra: real-time streaming, data lakehouse, ETL, feature/vector stores, knowledge sources, agent state storage.
• Infrastructure Layer — Compute (GPU/CPU clusters), network, cloud/multi-cloud, security/compliance, "Agentic Mesh".

Additional elements — There's a strong emphasis on governance, evaluation, resource management (e.g., MCP Tool Registry, AZA Agent Deployment, Threat Management), and accelerators/builders/integrators/operators roles.

This is essentially Capgemini's "AI factory" or platform for the agentic AI era — we can think of it as their answer to building trustworthy, production-scale AI agents (autonomous or semi-autonomous systems that can plan, reason, use tools, remember context, and execute multi-step business processes). It's positioned to deliver measurable business value while addressing enterprise concerns like cost control, security, observability, multi-cloud support, and human oversight.