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Peridot vs OpenAI API
What OpenAI API is
OpenAI API provides direct access to models like GPT, allowing developers to build AI-powered applications.
Where OpenAI API is strong
OpenAI API is strong for:
- Direct model access
- Flexibility for developers
- Building custom AI applications
- Rapid experimentation
Where it breaks (enterprise reality)
Using OpenAI APIs directly introduces data leakage risk and forces teams to build their own AI infrastructure.
Every team implements its own pipelines, which leads to:
- Sensitive data being sent outside your environment
- No centralized governance across teams
- No visibility into how AI is being used
- Duplicate systems and inconsistent security practices
This is a common cause of data leakage in AI and the rise of shadow AI.
At scale, this results in fragmentation, rising costs, and loss of control.
How Peridot is different
Peridot provides a control layer on top of LLMs like OpenAI.
With Peridot:
- Data stays inside your cloud
- Model usage is controlled centrally
- Applications are standardized across teams
- Usage and cost are fully visible
Instead of each team building its own system, Peridot provides one governed platform.
When to choose OpenAI API vs Peridot
Choose OpenAI API if:
- You are building a single application
- You have strong engineering resources
- Governance is not a concern
Choose Peridot if:
- You are scaling AI across teams
- You need control over data and systems
- You want to prevent shadow AI
- You need visibility into usage and cost
Punchline
OpenAI API gives you building blocks.
Peridot gives you control.
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