Same ambition. Different approaches.
See what your team gets, and who keeps it working.
Scroll across to compare both approaches
| What matters | coryntasBuilt around your business | ChatGPT EnterpriseAn AI platform for your organization |
|---|---|---|
| Business context | Dedicated business data and task-relevant knowledge, prepared and maintained for your agents. | Chats, files, workspace resources and authorized connected apps supply context. |
| Specialist models and skills | Business-specific models, professional skills and playbooks built around the work. | Use available models, reusable skills and customization in your workspace. |
| Memory and continuity | Useful context, decisions and task progress retained to support continuing work. | History, projects, files and memory support continuity under their applicable controls. |
| Connected actions | Tools and workflows built to perform business actions and check the resulting state. | Work completes multi-step tasks using authorized tools and supported actions. |
| Deployment | A dedicated cloud environment for your runtime, web chat and AI operations. | Cloud Work runs on OpenAI-managed infrastructure; supported local work uses approved device resources. |
| Ongoing operation and efficiency | Coryntas maintains deployed agents and uses context reuse and caching to reduce repeated processing. | Your organization manages rollout and configuration, using available analytics and usage controls. |
AI that fits the way
your business works.
Business understanding
Your knowledge. Your way of working.
Coryntas
Agents combine dedicated business data, specialist models and professional skills built around the task. Persistent memory keeps useful decisions and progress with the work.
ChatGPT Enterprise
Your team brings business context through files, projects and connected apps, then configures instructions, reusable skills and memory for the work.
Connected execution
From a request to work completed.
Coryntas
Coryntas builds and maintains the connections your agents need to produce deliverables and act in your systems. Result checks and human review are built around the job.
ChatGPT Enterprise
Work can complete multi-step tasks using authorized files, apps and tools. Your workspace team configures the available connections, actions and approvals.
Ongoing operation
Keep agents useful as your business changes.
Coryntas
A dedicated cloud environment runs your agents, web chat and AI operations. Coryntas handles deployment, integration upkeep and improvements, with caching and context reuse to reduce repeated processing.
ChatGPT Enterprise
OpenAI operates the cloud platform. Your team manages workspace access, rollout and how it fits daily work, using the product’s analytics and usage controls.
Your questions
Choose with the work in mind.
Compare all approachesWhat is the main difference between Coryntas and ChatGPT Enterprise?
ChatGPT Enterprise provides an AI platform your organization can configure and use across many kinds of work. Coryntas builds and runs agents around your business data, specialist skills, tools and workflows, with a dedicated runtime and ongoing operation. Compare both the work you want completed and the capabilities your team wants to manage.
Can ChatGPT Enterprise also run workflows and take action?
Yes. ChatGPT Work supports multi-step tasks, tools, reusable skills and scheduled work where available. Apps, actions and permissions depend on the workspace configuration. Compare the setup and ongoing ownership required for your specific workflow.
How is Coryntas deployed?
Coryntas provisions a dedicated cloud environment for your organization’s runtime, web chat and AI operations. The location and any special infrastructure requirements are confirmed before implementation. Coryntas handles deployment and ongoing operation.
How should we compare cost and fit?
Start with a business task and representative cases. Compare the completed result, quality, time spent supervising, integration effort and total operating cost. Include product or usage charges and the people needed to configure, maintain and improve the work.
