C3.AI is an enterprise software company founded in 2009 by Thomas Siebel. It offers an AI platform that helps large organizations build and deploy artificial intelligence applications. The company serves various industries including oil and gas, manufacturing, financial services, and healthcare. C3.AI went public in 2020 and trades under the ticker symbol "AI" on the NYSE. Its technology integrates data from multiple systems to power predictive analytics solutions.
A pioneer in the artificial intelligence industry, C3.Ai is an enterprise AI software company that helps large organizations build and deploy AI applications. Founded in 2009 by Thomas Siebel, who previously created Siebel Systems, the company is headquartered in Redwood City, California. C3.Ai went public in 2020 and now trades on the New York Stock Exchange under the ticker symbol AI.
C3.Ai leads enterprise AI innovation, empowering major organizations with advanced software solutions since 2009.
The company offers an end-to-end platform called the C3 AI Platform. This technology lets businesses develop AI applications faster through its model-driven architecture. It connects data from many different business systems and works with machine learning, deep learning, and natural language processing. Companies can use the platform on major cloud services or install it on their own computers. Like other AIaaS providers, C3.Ai enables organizations to leverage advanced AI capabilities without significant upfront infrastructure investments.
C3.Ai also sells ready-made AI applications for specific industries and business problems. These apps handle tasks like supply chain management, customer relations, fraud detection, and Internet of Things connections. The company's popular AI-powered predictive maintenance solutions help organizations identify equipment failure risks in advance. Customers can customize these solutions to fit their needs. The company claims these apps can show results within 8-12 weeks of installation.
The tech firm focuses on several key industries. In oil and gas, it helps with equipment reliability and production. For manufacturing, it assists with quality control and maintenance. Financial companies use C3.Ai for detecting money laundering and evaluating credit risk. Utility firms employ it for energy management and grid operations. Healthcare organizations use it for patient monitoring and clinical trials. The company originally started as C3 with a focus on carbon management before pivoting to broader AI applications.
C3.Ai partners with tech giants like Microsoft, Google Cloud, and AWS. It works with industry leaders such as Baker Hughes and Raytheon. The company also collaborates with universities and has contracts with the US Air Force and Department of Defense.
The business makes money through subscriptions to its applications and platform. It reported revenue of $252.8 million in fiscal year 2023 and employed 891 people as of April 2023.
Frequently Asked Questions
Who Are C3.Ai's Main Competitors?
C3.ai's main competitors include major tech giants offering AI services such as Microsoft Azure, Google Cloud, AWS, IBM Watson, and Oracle.
They also face competition from specialized AI companies like Palantir, DataRobot, and Databricks.
In the enterprise AI space, C3.ai competes with industry-specific providers like SparkCognition, Uptake, and Noodle.ai.
Emerging AI startups like Anthropic and Cohere represent newer competition in the market.
How Does C3.Ai's Pricing Model Work?
C3.ai shifted from subscription-based to consumption-based pricing in 2022.
Previously, customers signed three-year contracts averaging $12.1 million.
Now, customers can start with a 6-month pilot for $500,000 that includes one AI application.
After the pilot, pricing is $0.55 per vCPU/vGPU-hour with unlimited user seats.
For Generative AI applications, a 3-month pilot costs $250,000 with the same post-pilot pricing structure.
What Programming Languages Does C3.Ai Support?
C3.ai supports multiple programming languages for developers. These include Java, JavaScript, R, Python, and Scala.
Python is the most widely used option for machine learning tasks. The platform integrates with Jupyter Notebook through C3.ai Studio.
Developers can access all C3.ai Types through these standard languages. The system offers language bindings that connect with the C3.ai Type System for seamless development.
Can C3.Ai Integrate With Existing Legacy Systems?
C3.ai can integrate with existing legacy systems through various capabilities.
The platform connects to legacy SCADA systems, mainframes, and AS/400 systems. It supports older protocols like OPC and Modbus, and includes adapters for enterprise systems such as SAP and Oracle.
C3.ai creates a unified data model across systems and allows for on-premises, cloud, or hybrid deployments while enabling phased implementation alongside existing legacy applications.
What Are Common Implementation Challenges With C3.Ai?
Common implementation challenges with C3.ai include data integration issues with legacy systems, data quality problems requiring extensive cleansing, and high computational requirements.
Organizations often struggle with talent shortages of skilled AI engineers.
User adoption can be slow due to resistance to change and lack of AI literacy.
Additionally, measuring ROI on C3.ai investments proves difficult for many companies while ensuring regulatory compliance with data privacy laws.
