Benchmark
Generative AI for Enterprise Applications.
Enable adoption of language models and agents in high value domains.
Trusted by teams at
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Accurate & Reproducible Evaluations
Your customers need your LLM products to be accurate, useful, and aligned with their goals while meeting reliability and compliance standards. Vals lets you do this with our evaluation infrastructure.
Improve Accuracy
The first step to improving accuracy is to measure it. With Vals, you can measure performance on your relevant data and tasks.
Ensure Reliability
Detect and resolve mistakes, hallucinations and bias to deploy compliant, user-aligned models. Efficiently run regression testing and feature testing with each release.
Scale with your Business
Prepare your LLM for real-world challenges, from multilingual support to large-scale use. Ensure reliable performance and delightful user interactions.
Vals is engineered for everyone
We help you deliver the most capable models for sensitive applications in legal, finance, healthcare and insurance to build trust and drive generative AI adoption.
High-level analytics to understand performance and cost at a glance
Pass rate
00.0%± 10.2%
0 of 680 individual checks passed
Success rate
00.0%± 12.8%
0 of 310 tests passed all checks
As a product leader or executive, quickly understand the performance of your LLM application over time. Make data-driven decisions based on quality, accuracy, cost, and latency.
- Model Performance Reports
- Token & Cost Tracking
- Model Error Analysis
An easy way to include expert review and annotate feedback
Check model outputs
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portion of the financing for the acquisition of Acme, LLC and the refinancing of debt.
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Fail
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Keep your experts on the same platform as engineers: no more context-switching between review interfaces and your codebase. Facilitate an efficient review process, deferring to auto-evaluation metrics that are automatically tuned based on expert input.
- Expert Review
- Result Explainability
- Pairwise Review
- Confidence Scores
Powerful SDK and CI/CD tools for automated testing
Easily understand the positive or negative effects on performance when changing your prompts, foundation models, or fine-tuning. Your decisions should be backed by data, not guesswork.
- CLI Tools
- RAG Evaluation
- SDK
- CI/CD Integrations
About Vals
Billions have been invested in building capable generative AI tools, yet, years later, their actual capability and ROI remains unclear. Methodology used for testing is non-uniform and still largely driven by manual review. Vals is dedicated to raising the bar for generative AI evaluations.
Our platform allows labs and engineering teams to collect data, run evaluations at scale, and drive their review process.
Our industry benchmarks leverage this testing platform to efficiently evaluate models and applications.
