Evaluations

Measure and iterate on AI model quality at scale.

by Vellum · Scientific Computing

Executive Summary

Vellum Evaluations provides a comprehensive framework for measuring and improving the quality of AI systems, particularly Large Language Models (LLMs). It enables developers and teams to confidently iterate on their AI models by offering tools for continuous assessment and quantitative evaluation of LLM outputs across diverse deployment scenarios. The platform facilitates effective LLM development through features like enhanced prompt comparison, a wide range of metrics, and flexible reporting capabilities. It supports both online evaluations for ongoing quality assurance and quantitative evaluations for rigorous model testing, ensuring reliability and performance throughout the AI development lifecycle.

Use Cases

  • Continuously assess LLM outputs in production environments.
  • Quantitatively evaluate LLM performance across various scenarios.
  • Compare different prompts and model versions to identify optimal configurations.
  • Iterate on AI systems with confidence by measuring quality at scale.
  • Generate reports for effective LLM evaluation and performance tracking.

Features

Visibility

  • Enhanced Prompt Comparison: Compare different prompts and model versions side-by-side to understand performance variations.
  • Diverse Metrics & Reporting: Access a wide range of metrics and flexible reporting options for comprehensive LLM evaluation.
  • Online Evaluations: Continuously assess LLM outputs in real-time across diverse deployment scenarios.
  • Quantitative Evaluation: Rigorously evaluate LLM outputs quantitatively to ensure model quality in numerous scenarios.

Intelligence

  • AI System Quality Measurement: Measure the quality of your AI systems at scale to ensure performance and reliability.
  • Confident AI Iteration: Quickly determine the impact of changes and iterate on AI systems with data-driven confidence.

Technical Specifications

Architecture
Scalable infrastructure for AI workflows.
Deployment
SaaS
Authentication
SSO
API Available
Yes

AI/ML Stack

  • Large Language Models (LLMs)

Integrations

  • Webhooks

Security & Compliance

Certifications: SOC 2, ISO 27001, GDPR, HIPAA

Encryption: Data encryption for sensitive information, ensuring protection and compliance.

Pricing

Model
Tiered subscription with a Free plan
Starting Price
Free
Target Customer
SMB,Mid-Market,Enterprise
Free Trial
Yes, Free tier available

About Vellum

Vellum is a large language model (LLM)-focused implementation and assistance platform provider. It offers a collaborative platform for building, evaluating, and deploying AI workflows and agents, enabling teams to create reliable, task-specific AI solutions.

Founded: 2023 · Headquarters: New York, United States · Employees: 11-50 · Private