
Galini
Galini provides guardrails-as-a-service to filter harmful inputs and outputs based on company policies and industry regulations.
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Galini provides guardrails-as-a-service to filter harmful inputs and outputs based on company policies and industry regulations. Key capabilities allow enterprises to create, test, deploy, and refine guardrails to ensure AI applications are compliant at runtime. It is designed for product and engineering leaders who need to secure their AI systems without the high cost of in-house development. By using Galini, organizations can save significantly on operational costs while ensuring safety. Specific pricing details are not publicly disclosed, requiring direct contact for access.
Key features
- Policy-based input and output filtering
- Tools to create, test, and deploy guardrails
- Runtime compliance monitoring for AI apps
- Cost reduction by avoiding in-house builds
Pros & cons
Collected from user feedback found in web search
Pros
- Provides compliance guardrails for AI applications at enterprise scale
- Founders with McKinsey consulting and enterprise SRE expertise
- Addresses critical need for AI governance in enterprises
Cons
- Compliance guardrails add latency to AI application responses
- Market awareness and adoption still developing
Pricing
Use cases
- Ensuring compliance in enterprise AI applications
- Filtering harmful content based on regulations
- Replacing expensive in-house guardrail development
Who it is for
Enterprise productengineering leaders
Integrations
OpenAIAnthropicGoogle GeminiAWS BedrockMeta Llama
Tags
API
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 09/10/2026Verified sources: 1
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