Detect & remediate incorrect structured data from LLMs
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Ensure your structured data conforms to the required specifications every time
Prevent AI-generated data from introducing hallucinations that compromise reliability.
Guarantee your data aligns with its intended use, ensuring relevance and precision.
LLM Outputs
Start by sharing the specific data format you need and any RAG/context associated with data values. Whether it's JSON, CSV, XML etc. our models are designed to detect hallucinations in your structured data.
We provide you with code snippets that you can easily inject into your systems. In just minutes, ensure your structured data is accurate and ensure downstream dependencies are not degraded.
Track accuracy of strucutred data outputs and get realtime alerts when discrepencies/hallucinations occur.
And the best part, you can start for free
Innovative technology and seamless integration for flawless data accuracy
Our AI models are unrivaled in detecting and eliminating hallucinations in structured data, ensuring that your data is consistently accurate and reliable
Integrate our platform into your existing systems with ease. We’ve designed our solution to be developer-friendly, reducing the time and effort required to start improving your data accuracy
Experience the speed of our low-latency APIs, allowing you to detect and correct issues in your structured data in real-time, ensuring your operations never miss a beat
Ensure LLM-generated reports and outputs contain only accurate, reliable data
Prevent errors in financial datasets that could lead to misinformed decisions.
Validate large-scale data streams for enterprise applications to avoid costly errors
Ensure accurate data is fed into AI models to enhance training results
Get started today - Risk free trial
Core tooling, observability, and analytics
Access to all LLM features
Support for all model providers
Free models and experimenting with models
Continuous monitoring
10,000 cycles per week
Custom integration with your own app
Vulnerability scanning
Cost: First 10,000 runs are free
Team sharing and collaboration
Centralized security and compliance dashboard
SSO and access control
SOC2 compliance
On-premise or private cloud deployment
Priority support
SLA guarantees
Cost: Custom pricing based on usage and deployment needs
Learn How LLM Outputs Supports Your AI Needs
LLM Outputs is a tool designed to ensure the accuracy and integrity of structured data, such as JSON or CSV, generated by AI models. It helps you avoid errors and inconsistencies by validating your data against predefined schemas, making your AI operations more reliable and efficient.
LLM Outputs checks your structured data against predefined schemas and rules to ensure that's structurally/contextually accurate and free from errors. If any discrepancies or issues are found, it flags them so you can take corrective action before the data is used in your operations.
Yes, LLM Outputs can easily be integrated into your existing data pipeline. It works alongside your current tools to validate and clean up structured data, ensuring everything is accurate before it moves to the next stage of your workflow.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.