C3 AI has launched C3 Code, a development environment for building, deploying, and scaling artificial intelligence applications through autonomous agents. This product is now generally available.
Aimed at business analysts, developers, and data scientists, the software allows users to write requirements in natural language while AI agents design, configure, test, and deploy applications. It is powered by the broader C3 Agentic AI platform.
The announcement comes as software groups race to offer tools that further automate the application development process for enterprise users. C3 AI positions C3 Code as a way to reduce the time needed to build AI systems for operational tasks in manufacturing, energy, financial services, defense, utilities, and healthcare.
C3 Code includes over 40 pre-built enterprise AI applications and packages and is described by C3 AI as an integrated system for connecting enterprise data across disparate sources. It also includes pre-built machine learning models for applications such as anomaly detection, demand forecasting, and predictive maintenance.
Another element is the library of developer documentation, application programming interface references, architectural blueprints, and community patterns available to the system’s agents. C3 AI says it can generate data models, APIs, machine learning pipelines, agent workflows, and user interfaces with a single natural language prompt.
Benchmark claims
C3 AI also published the results of an internal evaluation comparing C3 Code to coding products from Anthropic, OpenAI, and Palantir. According to the company, Anthropic’s Claude reviewed each platform’s documentation and gave C3 Code an overall score of 9.2 out of 10, beating OpenAI Codex’s 6.0, Anthropic’s Claude Code’s 5.2, and Palantir’s 7.7.
On the company’s scorecard, C3 Code received a 10 out of 10 for domain intelligence. It was also rated 9 out of 10 for enterprise suitability, depth of agent AI, breadth of technology, flexibility of language models and tools at scale, and deployment and operations.
This comparison was commissioned and released by C3 AI, so it may attract some scrutiny. Still, the publication of parallel scores shows that providers of AI development tools are looking to differentiate not just in model performance, but also in operational concerns such as deployment, governance, and integration with existing enterprise systems.
industrial use
C3 AI outlined some examples of the types of applications customers can build using the software. These include supply chain tools that detect inventory shortages across facilities around the world, 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.
The company says applications that previously required teams of engineers and long delivery cycles can now be created in hours. The software 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 this release. C3 AI says applications created with the software are deployed through a controlled pipeline with security features, role-based access controls, and audit trails. Additionally, the product is model-agnostic, allowing customers to choose and change providers for language models at scale while maintaining application, data, and model portability.
Stephen Ehikian, CEO of C3 AI, described this release as a major change in the way enterprise AI software is built.
“The C3 code changes everything,” he said. “From this day forward, Enterprise AI will be fully agentic, autonomous, intuitive, and fast. A single team member can explain a business problem in plain English, and C3 Code will deliver a complete, managed, production-grade AI application. This is AI that designs and builds Enterprise AI, not assisted development.”
Nikhil Krishnan, chief technology officer of data science at C3 AI, linked the product to widespread concerns among enterprise buyers about the cost and complexity of typically using AI systems.
“Executives evaluating enterprise AI platforms are faced with a core question: Will their platform of choice reduce the time, cost, and risk of getting production AI into the hands of business users? C3 Code directly answers that question. With C3 Code, what used to take teams of engineers and weeks or months now takes analysts hours.”
