Sold by: VellumÂ
The LLM Product Development Platform. Take LLM-powered features from prototype to production with tools for prompt engineering, semantic search, prompt chaining, evaluations, and monitoring.
Overview
The end to end product development platform
Prompts: Side-by-side comparisons between multiple prompts, parameters, models, and even model providers across a bank of test cases.
Workflows: Quickly prototype and deploy powerful AI workflows that chain business logic, data, APIs and dynamic prompts for various use-cases.
Evaluations: Create a bank of test cases to evaluate and identify the best prompt/model combination over a wide range of scenarios.
Deployments: A reliable and fast proxy that connects your app and model providers, tracking all requests for debugging and quality monitoring.
Documents: Retrieve data specific to your company and use it as context in your LLM calls with Vellum Search.
Highlights
- Build multi-step AI applications, take to production with confidence
Details
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Features and programs
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Vellum License | Price listed here is representative only. Please contact us at sales@vellum.ai for a Private Offer proposal | $1,000,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
We provide SLAs for support and uptime of our application. We provide support through a shared Slack channel, in app support and via email (support@vellum.ai ). Our typical response time is 30 minutes and resolution time is 2 hours.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Vellum
By Techlatest.net
By Karini AI
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Prompt Engineering
Side-by-side comparative analysis of prompts, parameters, models, and model providers across test case banks
Workflow Automation
Prototype and deploy AI workflows integrating business logic, data, APIs, and dynamic prompts for multiple use cases
Model Evaluation
Create comprehensive test case repositories to evaluate and identify optimal prompt and model combinations across diverse scenarios
Request Tracking
Reliable proxy mechanism for connecting applications and model providers with comprehensive request tracking for debugging and quality monitoring
Contextual Search
Advanced document retrieval system enabling company-specific data integration as context for large language model interactions
AI Development Framework
LangChain provides a robust framework for creating AI applications with powerful tools and libraries for large language model integration
NoCode Interface
LangFlow offers a drag-and-drop interface with real-time chat capabilities for interactive AI workflow development
Language Model Abstraction
Enables seamless connection of large language models to diverse data sources and services with simplified integration
Workflow Customization
Supports direct prompt editing and workflow export for precise refinement and reusability of AI models
Open-Source Integration
Combines LangChain and LangFlow as open-source technologies for flexible AI application development
Large Language Model Support
Provides access to latest large language models (LLMs) with a versatile experimentation environment
No-Code Application Development
Enables building and deploying generative AI applications through visual interface without complex coding
Enterprise Security Framework
Implements enterprise-level security with credentials management, PII masking, data encryption, and role-based access controls
AI Workflow Observability
Offers detailed operational dashboards to track generative AI usage, performance, trends, and model interactions
Trust and Safety Mechanisms
Includes content filtering controls to reduce noise, block harmful content, and provide relevant citations for generated outputs
Standard contract
Customer reviews
0 ratings
0 AWS reviews
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11 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Max B.
The most likely best decision is to buy Vellum
Reviewed on Apr 30, 2025
Review provided by G2
What do you like best about the product?
Scenarios:
1. You are new to LLM-based product development: Buy Vellum (no question - build your own tooling later if you even need to).
2. You have started developing LLM-based products but not yet in production: Buy Vellum (get to production faster).
3. You have existing LLM-based products in production, but your tooling is limited: Buy Vellum (you likely need to improve the rate of development for the future - Vellum gets you there faster).
4. You have production LLM-products and extensive tooling: Probably still buy Vellum (focus on building and improving your products or experimenting with new ones. Vellum has the tooling you need in most cases and it will continue to get better while you work on what matters to your business).
Reason to buy:
Vellum is your partner. They work with you to understand your needs to build your products. That makes them great and building the product/tooling that allows you to focus on building your product and not the tooling required to do it.
1. You are new to LLM-based product development: Buy Vellum (no question - build your own tooling later if you even need to).
2. You have started developing LLM-based products but not yet in production: Buy Vellum (get to production faster).
3. You have existing LLM-based products in production, but your tooling is limited: Buy Vellum (you likely need to improve the rate of development for the future - Vellum gets you there faster).
4. You have production LLM-products and extensive tooling: Probably still buy Vellum (focus on building and improving your products or experimenting with new ones. Vellum has the tooling you need in most cases and it will continue to get better while you work on what matters to your business).
Reason to buy:
Vellum is your partner. They work with you to understand your needs to build your products. That makes them great and building the product/tooling that allows you to focus on building your product and not the tooling required to do it.
What do you dislike about the product?
Git-based development/management was a major disadvantage. With the new SDK, that's solved for the most part. There may be some very advanced requirements that aren't supported by the Vellum tooling, but there is likely some 'today' workarounds and 'tomorrow' fully baked solves.
What problems is the product solving and how is that benefiting you?
Prompt/RAG development, evaluation, and production monitoring.
Vrain A.
Fastest Way To Test and Deploy AI Workflows
Reviewed on Apr 27, 2025
Review provided by G2
What do you like best about the product?
We have immensely benefited from the UI workflow builder when narrowing in on our AI workflows. It gives us a centralized way to quickly test and try different prompts and models and see what impact it would have and what we feel comfortable deploying for our customers. The alternatives were too code heavy, this on the other-hand shortens the loop where anyone with an idea can test and then quickly move to production.
What do you dislike about the product?
We have not been able to fully leverage their eval solution.
What problems is the product solving and how is that benefiting you?
Developing AI workflows, specifically RAG workflows. Helped us speed up development without increasing engineering resources.
Insurance
Great Product + Great Team
Reviewed on Apr 23, 2025
Review provided by G2
What do you like best about the product?
The low code capability and drag and drop design is amazing for quickly building custom AI workflows that are production ready. Also, the ability to use PDFs as an input variable without being forced to use a document loader is great for those looking to use the computer vision capabilities of multi modal models.
What do you dislike about the product?
The evaluation UI leaves a little to be desired, but the team is actively communicating and working on updates. Also, would like to see an annotation queue and better UI on the data sets and user feedback collection.
What problems is the product solving and how is that benefiting you?
Deploying complex workflows without writing a bunch of code.
Kevin K.
The Fastest Way to Push AI Products Out
Reviewed on Apr 15, 2025
Review provided by G2
What do you like best about the product?
Vellum has a lot of things it does well
- superb low code workflow builder (with 1:1 code interface)
- one click deploy
- tracing and observability
- document storage
Collectively, these tools allow rapid iteration of AI pipeline and seamless promoting from development to production.
- superb low code workflow builder (with 1:1 code interface)
- one click deploy
- tracing and observability
- document storage
Collectively, these tools allow rapid iteration of AI pipeline and seamless promoting from development to production.
What do you dislike about the product?
Of all the things Vellum offers, the evals could probably be better. It's just a trade off of tools. There are some dedicated eval products in the market that optimize solely for the eval portion. Vellum's eval suite lags a bit behind market offerings but Vellum's strength is the integration of evals and coupling them with workflows. For other products, you need to send their data over.
What problems is the product solving and how is that benefiting you?
Vellum helps our AI team gets pipelines out much master. Instead of having to worry about non-differentiated work like integrating the latest models as code. All we have to do is change things in the UI and Vellum handles all that behind the scenes. We strongly rely on Vellum for the observability and monitoring piece.
Sasha B.
end-to-end lifecycle management for AI
Reviewed on Apr 14, 2025
Review provided by G2
What do you like best about the product?
Vellum supports building AI application every step along the way, whether it's for prototyping, evaluating, deploying or observing.
They stay up to date, always adding new features that support the latest trends and any new models. They also provide white glove services and can host custom model deployments.
They stay up to date, always adding new features that support the latest trends and any new models. They also provide white glove services and can host custom model deployments.
What do you dislike about the product?
Newer features may require additional support requests. However they are very quick with iterations.
What problems is the product solving and how is that benefiting you?
end-to-end lifecycle management for AI applications