C3 AI launches C3 Code to speed enterprise AI apps

C3 AI has launched C3 Code, a development environment for building, deploying and scaling artificial intelligence applications through autonomous agents. The product is now generally available.

Aimed at business analysts, developers and data scientists, the software lets users describe requirements in natural language while AI agents design, configure, test and deploy applications. It draws on the broader C3 Agentic AI Platform.

The launch comes as software groups race to offer tools that automate more of the application development process for corporate users. C3 AI is positioning C3 Code as a way to shorten the time needed to build AI systems for operational tasks in manufacturing, energy, financial services, defence, utilities and healthcare.

C3 Code includes more than 40 pre-built enterprise AI applications and packages, along with what C3 AI describes as a unified type system for connecting enterprise data across different sources. It also includes pre-built machine learning models for uses such as anomaly detection, demand forecasting and predictive maintenance.

Another element is a library of developer documentation, application programming interface references, architecture blueprints and community patterns made available to the system's agents. C3 AI says a single natural language prompt can generate data models, APIs, machine learning pipelines, agentic workflows and user interfaces.

Benchmark Claims

C3 AI also published the results of an internal evaluation comparing C3 Code with coding products from Anthropic, OpenAI and Palantir. According to the company, Anthropic's Claude reviewed documentation for each platform and gave C3 Code an overall score of 9.2 out of 10, ahead of OpenAI Codex at 6.0, Anthropic's Claude Code at 5.2 and Palantir at 7.7.

In the company's scorecard, C3 Code received 10 out of 10 for domain intelligence. It was also rated 9 out of 10 for enterprise fit, agentic AI depth, technical breadth, large language model and tool flexibility, and deployment and operations.

The comparison is likely to draw scrutiny because it was commissioned and released by C3 AI. Still, the publication of side-by-side scores shows how providers of AI development tools are increasingly trying to distinguish themselves on operational concerns such as deployment, governance and integration with existing corporate systems, rather than on model performance alone.

Industry Uses

C3 AI outlined several examples of the kinds of applications customers could build with the software. These include supply chain tools that detect inventory shortages across global facilities, applications that track parts across enterprise resource planning, logistics, freight and supplier data, and systems for asset performance management using anomaly detection and predictive maintenance models.

Applications that often required teams of engineers and longer delivery cycles could now be created in hours, according to the company. The software also supports both parallel and sequential execution of multiple AI agents for workflows that span systems and data sources.

Governance and portability are central claims in the launch. C3 AI says applications created with the software are deployed through controlled pipelines with security features, role-based access controls and audit trails. It also describes the product as model-agnostic, allowing customers to choose and change large language model providers while retaining portability of applications, data and models.

Stephen Ehikian, chief executive officer of C3 AI, described the release as a major shift in how enterprise AI software is built.

"C3 Code changes everything," he said. "From this day forward, Enterprise AI is fully agentic, autonomous, intuitive, and fast. A single team member can describe a business problem in plain English and C3 Code delivers a complete, governed, production-grade AI application. This is not assisted development; it is AI designing and building Enterprise AI."

Nikhil Krishnan, chief technology officer, data science, at C3 AI, linked the product to broader concerns among corporate buyers over the cost and complexity of putting AI systems into regular use.

"Executives evaluating Enterprise AI platforms face a core question: can their platform of choice reduce the time, cost, and risk of getting production AI into the hands of business users? C3 Code answers that question directly. What previously demanded a team of engineers and weeks to months can now take an analyst hours with C3 Code," he said.