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Bijection vs C3 AI
C3 AI sells an enterprise AI platform and a catalogue of prebuilt AI applications for problems such as predictive maintenance, supply-chain risk, energy management and defense readiness. Its model-driven architecture describes business objects as types, from which the platform generates much of the integration code. It runs on the major clouds, in government clouds, on premises and air-gapped, and it is used in oil and gas, manufacturing, utilities and defense, including by the US Air Force.
Bijection is narrower and much younger. It does not ship prebuilt applications: you define your own ontology, operations and applications in TypeScript in your repository, and coding agents can write most of it. The ontology lives in a transactional database that sends changes back to your systems with approvals and a record of every change. It runs as a managed, single-tenant service that we operate.
- What it is
- BijectionA transactional database and runtime for your ontology, operations and applications.
- C3 AIAn enterprise AI platform with more than 130 prebuilt applications, according to C3 AI, and tools to build your own.
- Where you start
- BijectionYour own model of the business, one process at a time.
- C3 AIUsually a prebuilt application for a known problem, such as reliability or inventory, fitted to your data.
- How you build
- BijectionTypeScript definitions in your Git repository, written by developers or coding agents. There are no visual builders yet.
- C3 AITypes declared in C3 AI’s own type language with JavaScript and Python, low-code tools in C3 AI Studio, and C3 Code, which builds applications from natural-language requests.
- Where it runs
- BijectionA dedicated single-tenant environment per customer, operated by us. Not in your cloud account or on premises today.
- C3 AIAWS, Azure, Google Cloud, government clouds, private cloud, on premises or air-gapped, as multi-tenant or single-tenant.
- Changes to other systems
- BijectionDeclared operations. The intent is recorded before the call goes out, and an unanswered call stays unknown until it is reconciled.
- C3 AIApplications integrate with source systems through the platform’s generated integration layer.
- AI
- BijectionModel calls are bounded steps with typed output. Agents reach data through scoped MCP endpoints and go through the same approvals as people.
- C3 AIMachine-learning models inside its applications, plus C3 Generative AI and agents for search and process automation.
- Maturity
- BijectionEarly. A small team and a focused core.
- C3 AIA public company with long-running deployments at customers such as the US Air Force, Shell, Dow and Holcim.
Choose C3 AI if
- A prebuilt application already fits your problem, such as predictive maintenance or supply-chain risk.
- You need to run on premises, air-gapped or in a government cloud.
- You want forecasting and reliability models as a packaged product rather than something you build.
Choose Bijection if
- You would rather define the business in code, reviewed and versioned like the rest of your software, and let coding agents write most of it.
- Your processes change records in other systems, and every change has to be approved, recorded and reconciled.
- You want a dedicated environment and a small team that builds your first process with you.
Sources
What this page says about C3 AI comes from these public pages, last read on 28 September 2026. Products change; if something here is out of date, tell us and we will correct it.