Ensure Your Structured Data is Always Accurate and Reliable

Detect & remediate incorrect structured data from LLMs

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The Importance of Structured Data Accuracy

No More Format Errors

Ensure your structured data conforms to the required specifications every time

Eliminate Data Fabrication

Prevent AI-generated data from introducing hallucinations that compromise reliability.

Maintain Contextual Accuracy

Guarantee your data aligns with its intended use, ensuring relevance and precision.

LLM Outputs

How We Ensure Structured Data Accuracy

Share Your Data Format

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.

Inject Code for Data Validation

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.

Monitor Potential Hallucinations

Track accuracy of strucutred data outputs and get realtime alerts when discrepencies/hallucinations occur.

Try LLM Outputs and optimize it with your workflow today

And the best part, you can start for free

What Makes Us Stand Out

Innovative technology and seamless integration for flawless data accuracy

Superior Hallucination
Detection Models

Our AI models are unrivaled in detecting and eliminating hallucinations in structured data, ensuring that your data is consistently accurate and reliable

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Effortless Integration

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

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Low Latency for Real-Time Corrections

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

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Use Cases for Structured Data Accuracy

AI Data Integrity

Ensure LLM-generated reports and outputs contain only accurate, reliable data

Financial Data Validation

Prevent errors in financial datasets that could lead to misinformed decisions.

Enterprise Data Pipelines

Validate large-scale data streams for enterprise applications to avoid costly errors

AI Training Data

Ensure accurate data is fed into AI models to enhance training results

Our pricing is Simple and Predictable

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Free

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Perfect for startups or small teams exploring LLMs

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Free plan features

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

Enterprise

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Tailored for large organizations with advanced needs

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Everything in Free Plan Plus

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

Your questions, answered

Learn How LLM Outputs Supports Your AI Needs

What is hallucination in structured data, and why is it important to detect it?

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.

How does your platform integrate with existing systems?

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.

What makes your hallucination detection models superior?

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.

How does your platform handle real-time systems?

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.

Can I customize the hallucination checks on your platform?

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.

What industries benefit most from your platform?

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.

Do you offer support during the integration process?

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.

How do I get started with your platform?

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.