C3 Generative AI
C3 Generative AI is a suite of enterprise generative AI solutions designed to enable organisations to access, analyse, and act on their data using natural-language interfaces and agent-orchestration technology. Built on the C3 AI Platform, it supports structured and unstructured enterprise data—including documents, tables, sensor telemetry, and images—and applies reasoning, retrieval-augmented generation, and workflow orchestration to drive business impact. The architecture is designed for enterprise deployment: it is LLM-agnostic, supports traceability to source documents, implements enterprise access controls, and focuses on deterministic, reliable responses rather than unpredictable outputs.
Key Features
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Agent orchestration: Autonomous agents retrieve data, analyse it, and orchestrate workflows across enterprise systems.
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Domain-specific generative AI: Pre-built modules for industries (manufacturing, financial services, customer service, etc.) and enterprise systems (ERP, CRM, ServiceNow, etc.).
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Enterprise-grade security and governance: Traces answers to source data, enforces access controls, prevents IP/data leakage, and separates LLMs from the enterprise knowledge base.
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Multi-modal data support: Works across text, tabular data, sensor feeds, and images, enabling reasoning on diverse datasets.
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LLM-agnostic architecture: Supports multiple large-language models and lets organisations swap or upgrade underlying LLMs without platform lock-in.
Use Cases
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A customer-service centre uses C3 Generative AI to answer complex customer queries by analysing history, profiles, and case data.
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A manufacturing company deploys agents to support equipment troubleshooting, monitor asset health, and accelerate onboarding of technicians.
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A financial services firm uses generative AI to analyse financial statements, extract insights from unstructured documents, and assist with due diligence.
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An enterprise integrates generative agents into its ERP and CRM systems (such as SAP, Oracle, Salesforce) to enable employees to query complex data in natural language and execute tasks.
Pricing & Plans
Public, standardised pricing for C3 Generative AI is not fully provided by the vendor. Some editions (for example, the Standard Edition on Google Cloud Marketplace) are available with self-service onboarding and may offer trial periods. For full enterprise deployments, pricing depends on factors such as data volume, deployment architecture, modules selected, and service level agreement; customers must contact C3.ai for a tailored quote.
Integrations & Compatibility
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Compatible with major cloud marketplaces (AWS Marketplace, Google Cloud Marketplace, Azure), enabling procurement and deployment via preferred cloud provider.
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Works with multiple underlying LLMs (e.g., Falcon 40B, Llama 2, Flan-T5, GPT-3.5, Claude 2) and allows organisations to bring their preferred models.
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Connects to enterprise systems, data sources, ERPs, CRMs, and industry software stacks to enable domain-specific generative workflows.
Pros & Cons
| Pros | Cons |
|---|---|
| Designed for enterprise scale with strong governance, traceability, and security | Pricing transparency is limited and often requires enterprise contract negotiation |
| Multi-modal data support and domain-specific modules accelerate time to value | Might be over-engineered for smaller organisations or simpler use cases |
| LLM-agnostic architecture and marketplace availability provide flexibility and fast onboarding | Customisation and integration into enterprise workflows may require significant effort |
| Proven in industry deployments (manufacturing, financial services, customer service) with measurable impact | Because of complexity, implementation may require change management and internal alignment |
Final Verdict
C3 Generative AI is a compelling choice for large organisations seeking advanced generative AI capabilities with enterprise-grade governance, security, and scale. The platform’s focus on agent orchestration, domain-specific modules, and traceability makes it well-suited for regulated industries and high-value workflows. If your business has complex data environments, needs multi-modal reasoning across documents and systems, and demands robust governance and deployment flexibility, this solution is worth serious consideration. For smaller or less complex deployments, you may want to compare with lighter-weight or more standard generative-AI offerings.