Orchestration

Build and manage complex AI applications and workflows with a powerful orchestration layer.

by Vellum · Scientific Computing

Orchestration screenshot

Executive Summary

Vellum Orchestration is a robust platform designed for developing and managing sophisticated, multi-step AI applications and workflows. It provides a powerful orchestration layer that simplifies the modeling, control, and debugging of agentic AI systems, which are inherently complex. The platform empowers users to create AI agents by simply describing their desired functionality in natural language, significantly reducing the engineering effort typically required for such tasks. The product focuses on advanced AI capabilities, including semantic decisioning, efficient retrieval mechanisms, and seamless integration of language model calls. It serves as a comprehensive solution for AI workflow automation, catering to both technical developers and product managers with its low-code approach to building intelligent agents. Vellum Orchestration aims to accelerate the development and deployment of cutting-edge AI systems, enabling organizations to automate processes and innovate with AI more effectively.

Use Cases

  • Building multi-step AI applications and agents
  • Managing and debugging complex AI workflows
  • Automating business processes with AI
  • Integrating Large Language Models (LLMs) into applications
  • Developing custom AI agents through natural language descriptions

Features

Visibility

  • Real-time Event Monitoring: Monitor platform events in real-time via Webhook integration to stream data to external systems for observability.

Intelligence

  • Semantic Decisioning: Enables intelligent workflow automation through semantic decisioning, incorporating retrieval and language model calls.
  • AI Agent Orchestration: Build, manage, and deploy complex AI agents and multi-step AI applications efficiently.

Technical Specifications

Architecture
A powerful orchestration layer designed to model AI systems, facilitating semantic decisioning, retrieval, and language model calls for complex AI workflows.
Deployment
SaaS, Private Cloud
Authentication
SSO/SAML, SCIM
API Available
Yes

AI/ML Stack

  • Large Language Models (LLMs)
  • AI Agents
  • Retrieval Augmented Generation (RAG)

Integrations

  • Gmail
  • Google Calendar
  • Slack
  • Telegram

Security & Compliance

Certifications: SOC 2, ISO 27001, GDPR, HIPAA

Encryption: Comprehensive data encryption at rest and in transit to protect sensitive information across the platform.

Pricing

Model
Usage-based with paid plans
Starting Price
$30/mo
Target Customer
SMB,Mid-Market,Enterprise
Contract Type
Monthly, Annual
Free Trial
Yes (no credit card required)

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

Alternatives to Orchestration

  • Overleaf by Overleaf — Collaborative cloud-based LaTeX editor for scientific and technical writing.
  • Polyaxon CE by Polyaxon — Free Community Edition for managing ML experiments on Kubernetes.
  • Polyaxon Cloud by Polyaxon — Fully managed control plane for MLOps orchestration and secure deployments.
  • Polyaxon EE by Polyaxon — On-premise Enterprise ML platform for comprehensive control, security, and premium support.
  • Protein Metrics by Dotmatics — Enhance mass spectrometry data analysis and reporting for protein characterization and proteomics.
  • PyMOL by Schrödinger — Powerful 3D molecular visualization for scientific research and education.
  • QIAGEN Digital Insights by QIAGEN — Curated bioinformatics software and genomic knowledge for research and clinical care
  • ReadyAPI by smartbear — API quality platform for functional, security, and load testing within CI/CD pipelines.

Keep researching