Vellum Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Vellum has been a game-changer for us at Odyseek. It didn’t just streamline our workflow, it transformed how our team collaborates and builds with AI.

Before Vellum, prompt engineering slowed us down and caused misalignment. Now, dev and management can work in parallel, saving us weeks of development time. Management can even test and tweak prompts themselves, making everything smoother.

Ease of Implementation & Integration: Getting started with Vellum was surprisingly smooth. We were able to plug it into our app without heavy lifting, and the platform fits nicely into our existing stack.

Time Savings & Frequency of Use: Prompt engineering used to be a major bottleneck. Now, both dev and management can work in parallel, which has saved us weeks of development time. We use Vellum daily—it’s become an essential part of our workflow.

Customer Support: The whole Vellum team has been amazing, super responsive, helpful, and clearly invested in making the product better.

Vellum didn’t just improve our process—it leveled up our whole team. Review collected by and hosted on G2.com.

Honestly, not much! I know Vellum is still early-stage, and it's clear the team is moving fast and listening to users. That said, the UX around workflows could definitely be more intuitive. I’m confident they’ll get there soon, and when they do, it’ll take the product to a whole new level. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Newer features may require additional support requests. However they are very quick with iterations. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

We have not been able to fully leverage their eval solution. Review collected by and hosted on G2.com.

The world of AI models is _so_ vast. Comparing different prompts and models was incredibly tedious before we found Vellum, which lets us do it side by side, track changes, automate our evaluations (to proactively catch regressions).. And the workflows feature is incredible. Things that would've taken days or weeks now take minutes or hours and even non-technical people on our team can easily do work that otherwise would've consumed our engineers' time. Seriously fantastic product and it's evolving quickly. Review collected by and hosted on G2.com.

The only downside is also a positive... some advanced flows are difficult to implement. On the bright side, the product quirks aren't that hard to work around, especially once you get the hang of them. Their team is also super quick to answer questions and guide us through implementation / prompting. They're equally quick at addressing & implementing most UI/UX/feature suggestions.

Overall, after evaluating several similar platforms, I'd much rather some flows be tricky but still possible to build, rather than impossible altogether. Vellum is the product to use if you want to stay ahead of competition. Review collected by and hosted on G2.com.

The ability to format and then reformat your own books, without having to go to another service, is absolutely a game changer for indie authors. You often find that any minor error in your novel will require you to go to a formatter and repay to have your book fixed. To have gorgeous books inside and out without constantly having to pay 'editing' fees, Vellum is essential. Review collected by and hosted on G2.com.

I really wish there was a version for PC as you find that it is impossible to use the mac in cloud without extreme stress. Fortunately, i have the user interface needed, but for some authors that wish they could use vellum, they simply cannot. Review collected by and hosted on G2.com.

The interface is clear and intuitive, very easy to navigate! Review collected by and hosted on G2.com.

Still in the development process, more features being added - but team is super responsive Review collected by and hosted on G2.com.

Using Vellum is like seeing for the first time when it comes to LLM Ops.

The platform immediately allows you to experiment with different models and explore the impact on performance.

Support is unbelievable: the team is incredibly customer-centric and is invested in your success.

My team went from using basic prompting to running incredibly complex and robust workflows in a matter of days.

Getting set up takes less than a day and you see value immediately: it is now the most used tool in our stack and I personally login every single day.

Do yourself a favor install their package and integrate (it literally takes less than 5 min) you won't regret it. Review collected by and hosted on G2.com.

I wish I had something to add here. Everything we haven't liked so far has been fixed or added to their product roadmap. The CTO and CPO will often deploy code same day to improve the customer experience. Review collected by and hosted on G2.com.