Vellum

Overview

Vellum is an AI technology company based in New York, founded in 2023. It specializes in a comprehensive platform for building, testing, deploying, and managing applications powered by Large Language Models (LLMs). The platform supports the entire lifecycle of LLM applications, offering tools for prompt engineering, semantic search, version control, quantitative testing, deployment, and performance monitoring.

The platform enables collaboration among cross-functional teams, including engineers and product managers, to efficiently manage complex AI workflows. It integrates multiple LLM calls and business logic, addressing the challenges of moving AI from prototype to production. The subscription-based service includes premium offerings like custom model integration and advanced analytics, and it supports all major LLM providers and open-source models. Security, privacy, and collaboration are emphasized, helping organizations accelerate AI development and streamline workflows for various applications such as virtual assistants and customer support chatbots.

Basic Information

Contact Details

• Website: vellum.ai
• LinkedIn: linkedin.com/company/vellumai

Key Focus Areas & Initiatives

• software development
• soc2 certification
• artificial intelligence
• llm playground
• model retraining
• role-based access
• prompt testing
• multi-modal ai support
• prompt caching
• prompt optimization
• monitoring dashboards
• test-driven development for ai
• edge case simulation
• workflow automation
• deployment automation
• test suite management
• deployment management
• retrieval and search
• context-aware retrieval
• workflow builder
• data integration
• version control
• ai development platform
• cloud-native deployment
• structured output formats
• a/b testing
• information technology and services
• model comparison
• multi-model comparison
• evaluation metrics
• edge case testing
• multi-modal data processing
• custom metrics
• multi-user collaboration
• error handling
• enterprise security
• ai trust and transparency
• security protocols
• custom nodes
• llm orchestration
• debugging tools
• cloud deployment
• retrieval apis
• prompt versioning
• llm benchmarking
• ai system traceability
• security and compliance
• automated testing
• semantic search
• real-time analytics
• model cost optimization
• prompt iteration dashboard
• multi-user prompt collaboration
• data ingestion
• model evaluation
• collaborative ai platform
• agentic workflows
• api integrations
• feedback loops
• orchestration sdk
• team collaboration tools
• vector databases
• hipaa compliance
• multi-model support
• observability and monitoring
• multi-modal inputs
• code synchronization
• real-time request tracking
• prompt engineering
• custom node creation
• multi-step prompt chains
• performance metrics
• model fine-tuning
• self-hosted options
• dynamic prompt variables
• ai lifecycle management
• llm as evaluator
• enterprise ai tools
• b2b
• consulting
• services
• computer systems design and related services
• enterprise software
• enterprises
• computer software

Technologies Used

• AI
• Amazon AWS
• Bootstrap Framework
• Data Analytics
• Docker
• DoubleClick
• DoubleClick Conversion
• Facebook Custom Audiences
• Gmail
• Google Apps
• Google Dynamic Remarketing
• Google Font API
• Google Tag Manager
• Hubspot
• Lever
• Linkedin Marketing Solutions
• Microsoft Office 365
• Mobile Friendly
• Multilingual
• New Relic
• React
• Remote
• Render
• Reviews
• Rippling
• Segment.io
• Webflow
• Wistia
• WordPress.org
• Yelp

Affiliated Organizations & Regional Branches