“Has so many different features”

Pros

Having the AI chatbox built right into the model and feature development UI works really well. It makes it very simple for users to try out different features and keep iterating without much friction.

Cons

One downside is that the SQL syntax can sometimes differ a bit from Snowflake so copied queries may need a little extra adjustment.

“support is top notch”

Pros

Pecan is pretty easy to use and their team was really supportive throughout the process. I also value that it isn't a black box tool so I can audit the outputs and test the results myself. Connecting our data sources was fairly simple which let us start validating things quickly.

Cons

It did take some time before we had a model that was truly usable although part of that timeline was due to delays on our end.

“Onboarding process was decent”

Pros

One of the biggest advantages for me is how approachable the platform makes predictive modeling. You really do not need a full data science team to start getting meaningful results from it. Building and training models has been genuinely simple and the prediction accuracy has remained strong in production. The onboarding process was another highlight. We had our first model up and running and already in the hands of our sales team in less than a month which was quicker than I expected. Also I want to give the support team credit as they check in regularly, answer questions quickly and guided us through the setup step by step. It seems much more like working with a partner than just buying from a vendor.

Cons

Pricing is the biggest downside. If your team already has the internal expertise to build and deploy custom models on Google Cloud or a similar platform, you can likely do it at a lower cost. With it you are paying extra for the abstraction layer and the hands-on support. That has been worth it for us but it is definitely something to weigh against your team's own capabilities.

“UI truly stands out”

Pros

Getting predictive models up and running for our sales team was a really positive experience. Right from the initial kickoff call, their team stayed closely involved and seemed genuinely focused on helping us see value as quickly as possible. The platform itself has a clean, user friendly interface so even people on our team without a technical background could follow what was happening and understand the model outputs without needing much extra guidance. The support throughout the whole process was especially impressive as they're consistently responsive, knowledgeable and simply enjoyable to work with. It seems like they truly care about customer success, not just delivering the software.

Cons

There's honestly very little to complain about. If I had to point to anything, I'd say it would be helpful to have a few more customization options for dashboards and reports within the platform. That said it's a pretty minor issue and hasn't affected our overall experience.

“support is fantastic”

Pros

More than anything it has shown a real commitment to helping us succeed with the product. Their team has been reliably available to support us and advise us on better ways to use the platform for both our current work and upcoming projects. The customer service has been outstanding. On top of that the model building workflow has significantly accelerated how quickly we can deliver predictive models for important business initiatives. When our team doesn't have the capacity to spend weeks developing a predictive model, it gives us a much faster way to build one when timelines are tight.

Cons

With each new model run, we're getting better at using it but there are still times when it's challenging to quantify all of the variables in a way that clearly aligns with business logic.

“helps drives everything forward”

Pros

Working with it has been a really positive experience because their team has supported our whole staff throughout the process of learning how to get the most out of the platform. We primarily rely on it to create predictive models that guide us in deciding which people are the right fit for promoting our products to.

Cons

Getting started did take some adjustment on both sides especially around helping them understand our data structure and making sure the team was familiar with how our industry operates. After that early onboarding period, the only notable issue I have had has been dealing with the time zone difference.

“Interface is very helpful”

Pros

Its interface and agent have been really helpful for exploring and preparing my data especially since I am only semi-technical. Another big plus is the customer success team as they're knowledgeable, quick to respond and genuinely invested in helping me succeed.

Cons

Nothing comes to mind.

“pretty simple to use”

Pros

The tool lets us build predictive models quickly without needing a dedicated data science team which has been a huge advantage. The platform is easy to use and the interface is simple to navigate. Their support team has been outstanding as a partner, both from a technical standpoint and on the strategic side. Getting everything set up at the beginning was also not a hassle since our data was already organized and their team guided us through the whole process step by step.

Cons

One thing I'd still like is another interface option that makes it easier to view all dataset choices outside of the chat prompt although it's more of a nice to have than a real issue. Having more than one way to confirm that the right data is being selected through both the chat prompt and a visual layout would make it simpler to ensure every relevant data point is included in a model.

“Setup completed quickly”

Pros

It is simple to use and make sense of the results. Also I like how flexible it is when I want to predict new features or adjust different settings. In a lot of ways it removes the need to have a full data science team which is a big advantage. The initial setup went quickly too especially because of its native BigQuery integration.

Cons

Well the challenge comes up when the main training dataset features involve sensitive data since sharing that information and meeting compliance requirements can make things a bit harder to work with. That said it hasn't been a blocker and is more like an issue on my side than something caused by it.

“saves us precious time”

Pros

Pecan has been really valuable for helping us model our data and catch fraud accurately. Their team has been incredibly supportive and the weekly calls do a lot to keep us aligned and moving in the right direction. The portal and AI assistant are also useful for handling SQL questions and related tasks which cuts down the time needed for data prep and product integration. Overall it has made our workflow much more organized, with almost no mistakes and that saves us a lot of time we would otherwise spend correcting errors. Connecting it with our CRM was easy because their team took care of the integration work. Getting started was just as simple too as we had one meeting to set expectations and then we were able to begin right away.

Cons

The next improvement I'd want to see is real time transaction decision making instead of only working after the transaction has already happened.

“support stays strong always”

Pros

It has been a reliable way for our analytics team to move faster because it removes a lot of the work and specialized knowledge usually needed to build and deploy machine learning models. The UI is easy to navigate and their dedicated customer support has been a major plus. Setting up the Databricks integration was also easy which helped make our workflow smoother. Overall it definitely lets us create machine learning models much more quickly.

Cons

One area that could be better is visibility into how the model logic works, along with having more options for custom model tuning. It would be especially useful if customers had deeper insight into the model.