Context Is Everything

Using an LLM without the right context is unreliable and not ready for production

• An LLM is not personalized to your business and is difficult to control
• It is probabilistic and does not store facts or data
• An LLM is only as good as its training data and inputs

Connecting all your data quickly gets complex, can erode quality, and be difficult to scale

• Each data source is unique; low retrieval quality degrades performance
• Building, maintaining, and scaling retrieval infrastructure can take months
• Connecting your data is only the first step, you also need to keep it secure

Personalized and powerful AI through a simple API

• Unparalleled Quality: Miriel's context engine uses intelligent indexing and retrieval tailored to each of your data sources
• Power With Only 2 Lines of Code: 1 line connects your data; the 2nd retrieves all relevant context to make intelligent queries—deploy your app in minutes
• Security and Control: Encrypt every interaction with your data and manage permissions at the token level, not just the file level
• Auditability and Source Attribution: Inspect your entire AI pipeline to see sources and understand every AI response—no black box

Build, Measure, Learn—Like never before with Miriel

• By managing the context fed into an LLM and structuring the output, AI becomes a controllable runtime component
• Significantly reduce the complexity of your app while increasing functionality (1,000+ lines of code become 10’s of lines)
• Build AI applications with code you can understand and any engineer can maintain—avoid a brittle mess of AI generated code
• Test ideas, iterate faster, and confidently ship more projects
• Deliver new capabilities and an unforgettable experience to your users