LLM Prompt Testing Platform

Does Your LLM Truly Understand Your Input?

In AI Agents and LLM applications, if the input isn't understood correctly, all downstream processing fails. PromptProof helps you verify and optimize your extraction prompts with statistical confidence.

Statistically validate prompt accuracy with confidence intervals

Collaborate as a team with shared datasets and ground truth labels

Test multimodal inputs: images, videos, and documents

Images

Videos

PDFs

Problem

Untested Prompt

45%

52%

38%

Inconsistent extraction, no statistical guarantee

Solution

Validated Prompt

89%

92%

85%

95% confidence interval validated by team

+44%

Confidence

95% CI

The Critical Challenge

Input Understanding is the Foundation of AI Success

When your LLM misunderstands input data, every subsequent step in your AI pipeline produces incorrect results.

Input

Documents, Images, Videos

LLM Prompt

Data Extraction

Misunderstood Input

Downstream AI fails silently

Correct Understanding

Reliable AI processing

The prompt that extracts and transforms your input data is the most critical component. PromptProof lets you validate it with statistical rigor.

Why PromptProof?

The only platform built for teams who need statistically validated prompt optimization

Statistical Validation, Not Just Logging

Unlike monitoring tools, PromptProof provides statistical proof. Run 10-50 trials, get confidence intervals with t-distribution analysis. Know your prompt accuracy with 95% confidence—no data scientist required.

Team Prompt Engineering

Improve prompts together as a team. Role-based access (Admin, Experimenter, Prompt Improver, Data QA) enables non-engineers to contribute. Share experiments and results across your organization.

Shared Datasets & Ground Truth

Create common evaluation datasets with labeled ground truth. When everyone tests against the same data, results are comparable and trustworthy. No more "it worked on my test."

Multimodal LLM Testing

One of the few platforms supporting image and video prompt testing. Validate vision LLM extraction accuracy for product images, receipts, invoices, and video content.

Multi-LLM Comparison

Test the same prompt across OpenAI (GPT-4, GPT-4o), Anthropic (Claude), and Google (Gemini) in parallel. Find the best model for your specific use case.

Enterprise Security

SSO integration, KMS-encrypted API keys, complete organization data isolation, and audit-ready logging for compliance requirements.

How It Works

Four simple steps to statistically validated prompts

Upload Data

Upload PDFs or images with expected extraction values. Organize data into experiment folders.

Create Prompts

Define extraction prompts with model-specific configurations (temperature, top_p, etc.).

Run Experiments

Choose single runs for quick tests or statistical experiments (10-50 trials) for confidence intervals.

Analyze Results

View accuracy distributions, model comparisons, trends over time, and field-level performance metrics.

Use Cases

Production-ready for document processing teams

Finance

Invoice OCR

Extract invoice numbers, dates, amounts, vendor information with statistical confidence in accuracy.

Computer Vision

Image Metadata Extraction

Extract structured metadata from images such as product labels, receipts, or photos. Test extraction accuracy across different LLM vision models.

Education

Math & Question Extraction

Extract mathematical formulas, questions, and structured content from educational materials, worksheets, and exam papers.

And many more document processing use cases...

Ready to Improve Your LLM Prompts?

Start testing with statistical rigor today

Enterprise SSO • Data Isolation • Cloud-Native