Build Enterprise
AI Apps with
Natural Language

Describe your application in plain English — C3 Code turns that intent into production-ready Enterprise AI, using application packages to generate the right data model, workflows, and UI from the start.

C3 Code platform — inventory intelligence dashboard

Model-flexible by Design

Connect C3 Code to the LLM that fits your cost, performance, security, or cloud requirements — without rewriting the application architecture.

Up to
100x

Developer
Productivity

Working in
Days

Prompt to
Production

40+

Enterprise AI Application
Packages Built In

A Decade of Enterprise Intelligence, Built In

C3 AI application packages encode how real enterprises work — assets, processes, events, metrics, and relationships — so C3 Code starts from operational context instead of a blank schema.

Manufacturing

Process optimization, production scheduling, inventory optimization, demand planning

Oil & Gas

Asset reliability, production optimization, field services, inspection planning sourcing optimization

Financial Services

Anti-money laundering, smart lending, cash management

Defense & Intelligence

Readiness optimization, decision advantage, intelligence analysis, contested logistics

Utilities

Grid reliability, energy management, ESG

Healthcare

Claims approvals, disease prediction call center support, clinical intelligence

Manufacturing:
Process Optimization

Manufacturing Facility

Digital Twin

Production Line

Physical Asset

Work Order

Operational Entity

Quality Metric

Metric Evaluatable

Machine

Equipment Asset

Sensor

IoT Device

MaintenanceEvent

Timeseries Event

ProductBatch

Traceable Entity

VibrationReading

Timeseries

OEEScore

Metric Result

Yield Prediction

ML Prediction

Oil and Gas:
Asset Reliability

Asset

Digital Twin

Well

Production Unit

Pipeline

Physical Asset

Turnaround Schedule

Planning Entity

Machine

Timeseries Event

Sensor

IoTDevice

Maintenance Event

ML Prediction

Product Batch

Compliance Entity

Vibration Reading

Timeseries

OEEScore

Safety Event

Failure Prediction

Simulation Entity

Financial Services:
AML

Financial Institution

Organization

Account

Financial Entity

Customer

KYC Entity

Risk Model

ML Pipeline

Transaction

Timeseries Event

SAR Alert

Compliance Alert

Network Graph

Relationship Map

Cash Flow Pattern

Analytic Feature

Anomaly Score

ML Prediction

Watchlist Match

Screening Result

Case File

Investigation Entity

Defense and Intelligence:
Readiness

Mission Command

Operational

Unit

Force Element

Platform

Weapon System

Logistics Node

Supply Chain Entity

Readiness Score

Metric Evaluatable

Maintenance Status

Asset Condition

Supply Requisition

Planning Entity

Sensor Feed

Sensor Stream

Sorties

Flight Plans

Depot Schedule

Optimized Schedule

Utilities:
Grid Reliability

Electric Grid

Infrastructure

Substation

Grid Asset

Transformer

Equipment Asset

Demand Forecast

ML Prediction

Smart Meter

IoT Device

Outage Event

Timeseries Event

Load Balance

Optimization Target

ESG Report

Compliance Entity

Voltage Reading

Timeseries

Peak Forecast

ML Prediction

Emissions Calc

Sustainability Metric

Healthcare:
Claims Approval

Member

Plan Participant

Provider

Network Entity

Plan

Coverage Product

Claim

Billing Event

Service Line

Procedure Detail

Diagnosis

Clinical Code

Prior Authorization

Approval Request

Adjudication Result

Claim Decision

Payment

Financial Transaction

Appeal

Dispute Resolution

From Prompt to Production in Three Steps

Start with the business problem and generate governed code, agents, and UI on the C3 Agentic AI Platform.

1

Describe Your Application

Write the application you want in plain language. C3 Code interprets the request against enterprise context, so it can generate more than a UI mockup.

2

Review Generated Code

C3 Code generates type-safe data models, APIs, agents, ML pipelines, and React UI ready for technical review.

3

Deploy to
Production

Deploy with security, access control, audit trails, and monitoring built into the application architecture from day one.

What You Can Build
with C3 Code

Global Inventory Shortage Detection & Visualization

Example Prompt:
Analyze my global in-process inventory footprint and show me where my most critical inventory shortages are on the planet.
Outcome SKU-site shortage scoring refreshed every 15 minutes across 50+ facilities, with threshold-based alerts, geospatial drill-downs, and an interactive global supply network.

How C3 Code Built It

1
Connect Data Sources
Enterprise data systems (ERP, MRP, supplier networks) integrate into a unified ontology — consolidating SKUs, quantities, demand signals, locations, and replenishment lead times.
2
Extend the Inventory Ontology
Pre-built ontology extended to include inventory criticality tiers and restock levels.
3
Configure ML Scoring
Shortage severity scoring pipeline configured via C3 AI ML modules — ranking every facility and SKU by criticality.
4
Deploy Geospatial Dashboard
New interactive dashboard deployed to production as a extension to C3 AI Inventory Optimization application.

Generative AI Application for Global Parts Visibility

Example Prompt:
Analyze my global supply chain inputs and provide me a new generative AI application for where my parts are.
Outcome A production application that resolves part status, ETA, supplier exposure, and delay risk from live logistics data, with grounded answers and role-based access built in.

How C3 Code Built It

1
Ingest Supply Chain Data
Agents connect to ERP, logistics APIs, freight carriers, and supplier portals. All inputs mapped to C3 AI Supply Chain Digital Twin canonicals.
2
Build the Ontology
Part, PurchaseOrder, Shipment, Supplier, and TransitEvent Types generated and linked.
3
Configure RAG Pipeline & Planning Agent
Structured and unstructured retrieval pipeline deployed over parts and logistics data.
4
Deploy the Application
React components — global map with color-coded shortage alerts, KPI tiles, and drill-down facility panels — deployed directly into C3 AI Inventory Optimization.

Reduce Asset Downtime Through Predictive Maintenance

Example Prompt:
Build me an application that monitors equipment health across my fleet, predicts failures before they happen, and optimizes maintenance schedules to minimize unplanned downtime.
Outcome Fleet-wide health scoring, hourly failure-probability updates, automated work-order generation, and maintenance schedule optimization across 500+ assets in a governed production workflow.

How C3 Code Built It

1
Connect Equipment Telemetry
Agents connect to ERP, logistics APIs, freight carriers, and supplier portals. All inputs mapped to C3 AI Supply Chain Digital Twin canonicals.
2
Build Asset Health Ontology
Part, PurchaseOrder, Shipment, Supplier, and TransitEvent Types generated and linked.
3
Configure Predictive ML Pipeline
Remaining useful life and failure probability models trained on historical data, scoring continuously against live telemetry.
4
Deploy Fleet Health Dashboard
Fleet-wide health heatmap, asset detail panels, automated work order generation, and maintenance schedule optimizer deployed to production.

The Full Enterprise AI Stack, in One Platform

Agentic coding plus the industry intelligence, governance, and deployment layer.

Capability Standalone Coding Agents C3 Code
Agentic Code Generation Agentic generation and editing across the full development lifecycle
Multi-Language Native support for Python and JavaScript
IDE and Git Integration Works with the tools your developers already use
LLM-Agnostic Compatible with Claude, Codex/GPT, Gemini, Grok, and more
End-to-End Agentic Programming End-to-end code generation without human intervention
C3 AI Type System and Domain-Specific Language An ontology-based framework purpose-built for Enterprise AI application development
40+ Enterprise AI Application Packages Pre-built packages encoding how real enterprises operate — assets, processes, events, metrics, and relationships.
Domain AI Algorithms Production-grade models ready for enterprise deployment
One-Click Deployment Development to production — governance, access controls, and audit trails are built in
ML Pipeline and Agent Ops Fully managed infrastructure for AI at scale
Enterprise Security Audit trails, access controls, and enterprise-grade protection