C3.ai
A suite of Generative AI applications and tools designed to solve high-value, complex, data-rich enterprise problems in industrial sectors.
What is C3 Generative AI?
C3.ai C3 Generative AI is a purpose-built suite of enterprise applications delivered on the C3 AI Platform. It is designed to rapidly surface and act on insights by combining state-of-the-art LLMs, deep learning retrieval models, and C3 AI's patented **Model-Driven Architecture**. It excels at providing high-accuracy, deterministic, and domain-specific answers by integrating and reasoning over petabyte-scale, disparate enterprise data (ERP, EAM, sensor data, documents) and external sources.
Key Features & Capabilities
- Enterprise RAG: Unified knowledge source with robust RAG pipelines across structured (tabular) and unstructured (text, sensor) data.
- Domain Specialization: Pre-built or custom applications for industrial sectors like Predictive Maintenance and Supply Chain Risk.
- Agentic AI: Supports advanced agentic workflows for multi-step logic and automated action recommendations.
- Traceability: Provides full source lineage and is traceable to ground truth data, minimizing hallucinations.
- LLM Agnostic: Supports integration and comparison of multiple LLMs (proprietary and open-source).
How to Implement C3 Generative AI
Implementation follows a systematic enterprise-AI approach:
- Data Integration: Use the C3 AI Platform to rapidly integrate and unify all relevant enterprise data (e.g., sensor telemetry, EAM records, financial statements) into a single, federated data image.
- Application Selection: Identify a high-value business opportunity (e.g., Predictive Maintenance, Contested Logistics) and select or customize a corresponding C3 Generative AI application.
- Deployment: Deploy the application within the C3 AI cloud environment or the customer's cloud (multi-cloud support).
- User Interaction: End-users access the system via a natural language, chat-like interface to query data, predict asset failure, or request mitigation strategies.
- Review & Action: The system returns a deterministic answer, summary, and source citations, enabling operators or executives to review and trigger actions (e.g., create a work order in ERP).
Starting from
- Connect your CRM, marketing, or automation tools seamlessly.
- Automate workflows by combining multiple AI tools.
- Train your team to master AI tools quickly.
- Get ongoing support for updates and scaling.
C3 Generative AI excels at optimizing industrial operations through predictive maintenance. The platform fuses real-time vibration data with decades of previously unusable manual inspection notes to create highly accurate failure predictions for critical assets. This enables organizations to transition from reactive to proactive maintenance scheduling, often resulting in a significant reduction (e.g., 15%) in unplanned downtime.
C3 Generative AI provides preemptive visibility into complex supply chain risks. By cross-referencing external factors (geopolitical events, disasters) with internal data (supplier locations, inventory buffers), the AI instantly models the potential impact on logistics and component availability. This allows manufacturers to proactively reroute shipments or secure alternative components, minimizing production line stoppages during several major global disruptions.
- High Value-Add: Focused on complex industrial and business challenges with high economic impact (e.g., reduced unplanned downtime).
- Traceability & Security: Built-in RAG architecture ensures deterministic, traceable, and secure responses against enterprise data.
- Application Suite: Provides off-the-shelf, proven AI applications for rapid deployment across various industries.
- Enterprise Only: Pricing model and complexity are tailored exclusively for large enterprise customers, making it cost-prohibitive for SMBs.
- Longer Implementation: Initial deployment and data integration can be a significant project requiring specialized expertise.
This tool is specifically for large-scale industrial enterprises managing complex supply chains or predictive maintenance needs. It stands apart from general-purpose LLMs by offering deterministic, traceable insights grounded in massive, disparate enterprise datasets.
Databricks Dolly
Salesforce Einstein
- High Value-Add: Focused on complex industrial and business challenges with high economic impact (e.g., reduced unplanned downtime).
- Traceability & Security: Built-in RAG architecture ensures deterministic, traceable, and secure responses against enterprise data.
- Application Suite: Provides off-the-shelf, proven AI applications for rapid deployment across various industries.
- Full Control & Ownership: Organizations own the model and data, eliminating third-party API dependencies and data risk.
- Customization: Optimized for easy fine-tuning and specializing on unique, proprietary data.
- Cost-Effective at Scale: Eliminates per-token API costs for large-scale, internal deployment.
- Enterprise Only: Pricing model and complexity are tailored exclusively for large enterprise customers, making it cost-prohibitive for SMBs.
- Longer Implementation: Initial deployment and data integration can be a significant project requiring specialized expertise.
- Infrastructure Overhead: Requires managing dedicated compute resources (GPUs/TPUs) for hosting and inference.
- Ongoing Maintenance: Requires internal MLOps teams to monitor, update, and govern the model's performance and data lineage.
