Revolutionize Prompt Engineering with
Next-Gen LLM Evaluation
Promptkey seamlessly generates, evaluates, and optimizes prompts across multiple LLMs with powerful datasets, real-time evaluation, and performance insights.
Comprehensive Features to Yield the Best Prompts and AI Performance
Comprehensive Features to Yield the Best Prompts and AI Performance
Comprehensive AI model assessment that combines cutting-edge technology with human expertise.
User-Centric Evaluations
Designed with end-users in mind, our platform provides nuanced insights that go beyond traditional metrics.
Subject Matter Expert Review
Leverage detailed assessments from industry experts with deep domain knowledge and technical expertise.
Moderation Dashboard
Gain real-time AI performance insights with our intuitive moderation dashboard. Track key metrics, monitor outputs, and ensure quality, compliance, and consistency.
Trusted by Leading Enterprises
Manage & Generate Your Datasets
Organize, curate, and generate high-quality datasets tailored to your evaluation needs. Effortlessly version datasets to track performance over time.
Manage & Generate Your Datasets
Organize, curate, and generate high-quality datasets tailored to your evaluation needs. Effortlessly version datasets to track performance over time.
Create Powerful Prompts Connected to Your Data
Design effective prompts that seamlessly integrate with your datasets, ensuring context-rich evaluations for consistent model performance.
Create Powerful Prompts Connected to Your Data
Design effective prompts that seamlessly integrate with your datasets, ensuring context-rich evaluations for consistent model performance.
Connect Multiple LLM with Flexible Configurations
Integrate multiple LLMs with ease. Experiment using various presets, fine-tuning parameters like temperature, output tokens, Top P, and frequency penalty—all in one interface.
Connect Multiple LLM with Flexible Configurations
Integrate multiple LLMs with ease. Experiment using various presets, fine-tuning parameters like temperature, output tokens, Top P, and frequency penalty—all in one interface.
Evaluate LLM Responses with SMEs
Leverage SME insights to assess model outputs accurately. Collaborate, score, and analyze responses to ensure data-driven evaluation at scale.
Evaluate LLM Responses with SMEs
Leverage SME insights to assess model outputs accurately. Collaborate, score, and analyze responses to ensure data-driven evaluation at scale.
The Right Way to
Evaluate Multiple LLM Responses
Streamline the entire evaluation lifecycle—from dataset management to expert-driven assessments—within a single, powerful platform.
- Manage & Generate Your Datasets
Organize, curate, and generate high-quality datasets tailored to your evaluation needs. Effortlessly version datasets to track performance over time.
- Create Powerful Prompts Connected to Your Data
- Connect Multiple LLM with Flexible Configurations
- Evaluate LLM Responses with SMEs
Comprehensive Support for
Models and Providers
State-of-the-Art
Response Comparison & Grading
Compare model outputs side by side with intuitive grading powered of User Centric Metrics.
Simple Steps to Evaluate Your Prompts
Evaluating your AI prompts is crucial for building high-performing and reliable models. A well crafted prompt is key to best output. Follow this simple steps to get started
Create your Project and Select a dataset
Start by creating your project, choosing the right dataset. A well-curated dataset ensures your prompts are evaluated against high-quality & relevant data, setting the foundation for best results.
Create or update your prompt
Design your prompt carefully to achieve the desired model behavior. Test different variations and refine your wording to optimize clarity, specificity, and effectiveness.
Select AI models to compare
Define evaluation parameters and involve SMEs
Set clear evaluation parameters such as accuracy, response time, and relevance. Involve Subject Matter Experts (SMEs) to provide qualitative feedback & ensure the model meets business expectations.
Run evaluations and analyze results with interactive dashboards.
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Flexible Pricing Plans Tailored to Your Needs
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Basic
$0 / Month
- Limited evaluations, access to standard models.
- Limited evaluations, access to standard models.
- Limited evaluations, access to standard models.
- Limited evaluations, access to standard models.
Pro
$99 / Month
- Advanced evaluations, SME inputs, models, analytics.
- Advanced evaluations, SME inputs, models, analytics.
- Advanced evaluations, SME inputs, models, analytics.
- Advanced evaluations, SME inputs, models, analytics.
Enterprise
Custom Pricing
- API integrations, custom models, and priority support.
- API integrations, custom models, and priority support.
- API integrations, custom models, and priority support.
- API integrations, custom models, and priority support.
Evaluation Jobs
- Pay-as-you-go
- Response Comparison
- Custom Grading Parameters
- Dataset Management
- Manual Grading
- SME Grading
- Auto Evaluation Metrics
Pay-as-you-go
Jury Judge LLM
- Pay-as-you-go
- Response Comparison
- Custom Grading Parameters
- Dataset Management
- Comprehensive Reports
- Custom and Proprietary Metrics
- Actionable Recommendations
Pay-as-you-go
Frequently Asked Questions
- Identify datasets, models, and presets: Users select the datasets, models, and any existing presets for the evaluation. Custom grading parameters specific to the workload are configured.
- Understand presets: A preset is a model configuration that includes parameters like max_tokens, temperature, top_p, and top_k. These settings control the behavior and output quality of the model. Each model can have up to three presets, offering flexibility to test different configurations.
- Kick off the evaluation: Once everything is set, the user starts the evaluation process.
- Generate and store LLM responses: The system generates LLM responses based on the provided prompts and datasets, and the results are securely stored.
- User and expert grading: Users can review and grade the responses. Subject matter experts (SMEs) can also be invited to provide their evaluations.
- Full evaluation with LLM as a judge: Once human grading is complete, users can trigger a full evaluation where the LLM acts as a judge, using the human feedback to evaluate other records and ensure consistency.
