Vellum is a comprehensive platform designed to accelerate the development, deployment, and monitoring of AI systems, ensuring that teams can build reliable and scalable AI solutions efficiently. It supports best practices from software development, providing tools for experimentation, evaluation, and automation.

Key Features:

Streamlined AI experimentation with rapid iteration on models, prompts, and architectures

Test-driven development approach for optimizing AI systems based on quality, cost, and latency

Automated testing, version control, CI/CD, and observability for AI workflows

Robust monitoring tools to detect issues, capture logs, and manage feedback

Enterprise-ready with SOC2 II compliance, HIPAA + BAA support, and VPC deployments

Configurable data retention policies and role-based access control for security

Use Cases:

Rapid prototyping and validation of AI ideas

Decoupling AI model updates from production releases

Deployment of virtual assistants and other AI-based customer service solutions

Building production-grade features from early-stage AI concepts

Seamlessly integrating AI systems with existing software architectures

Benefits:

Accelerate AI development timelines by enabling teams to iterate quickly and efficiently

Reduce time and resources needed for infrastructure management

Ensure reliable performance and security with enterprise-grade compliance

Gain insights into AI performance through detailed monitoring and analytics

Collaborate effectively across teams with built-in tools for prompt engineering, orchestration, and deployment