Sold by: Pecan AI
Deployed on AWS
Predictive analytics platform enabling any business analyst to create and deploy ML predictive models
4.7
Overview
Pecan AI empowers data and BI teams to unlock the full potential of their data by leveraging automated predictive analytics. With Pecan, users can seamlessly build, deploy, and operationalize machine learning models - all without requiring advanced coding skills. Our platform simplifies complex workflows by combining a conversational AI interface with cutting-edge machine learning capabilities, enabling teams to effortlessly transform raw data into actionable insights. Whether predicting customer behavior, optimizing inventory, or forecasting demand, Pecan accelerates your journey from data to decisions. Designed for scalability, security, and ease of integration, Pecan fits seamlessly into your existing infrastructure, helping organizations drive measurable business impact faster and more effectively.
Highlights
- Predictive Analytics
- Machine learning Business Oriented
- AutoML
Details
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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/month |
|---|---|---|
Starter | Get started with predictive analytics effortlessly. Build, deploy, and gain insights from predictive models - all without data science expertise. | $950.00 |
Business | Scale your predictive analytics with more predictions, data, and priority support. Ideal for growing teams needing deeper insights and enhanced assistance to drive business impact. | $1,750.00 |
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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
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.
Customer reviews
Emma P.
Empowers Predictive Analytics with Excellent Support
Reviewed on Apr 21, 2026
Review provided by G2
What do you like best about the product?
I like how Pecan is easy to set up, and the support from their team is great. I also appreciate that it's not a black box, allowing me to audit and test results. The setup process was fairly easy, as I could connect data sources and begin to validate quickly.
What do you dislike about the product?
It took us awhile to get to a usable model, though some of that was from delays on our side.
What problems is the product solving and how is that benefiting you?
I use Pecan for predictive analytics to forecast which campaigns convert into pipeline, reducing time from budget to outcomes. It tackles long sales cycles by providing timely campaign performance insights allowing us to iterate and optimize.
J G.
Intuitive Platform with Exceptional Support
Reviewed on Apr 20, 2026
Review provided by G2
What do you like best about the product?
The biggest strength for me is how accessible the platform makes predictive modeling — you don't need a dedicated data science team to get real value out of it. Building and training models is genuinely straightforward, and the prediction quality has held up well in production.
The onboarding experience stood out too. We had our first model live and being used by our sales reps in under a month, which is faster than I expected. The support team deserves a specific callout: they run regular check-ins, respond quickly to questions, and walked us through setup step by step. It feels more like having a partner than a vendor.
The onboarding experience stood out too. We had our first model live and being used by our sales reps in under a month, which is faster than I expected. The support team deserves a specific callout: they run regular check-ins, respond quickly to questions, and walked us through setup step by step. It feels more like having a partner than a vendor.
What do you dislike about the product?
The main drawback is price. If you have the in-house expertise to build and deploy custom models on Google Cloud or a similar provider, you can do it more cheaply. You're paying a premium for the abstraction and support — worth it for us, but worth weighing against your team's capabilities.
What problems is the product solving and how is that benefiting you?
Pecan helps us identify high-value customers so our sales team can prioritize personalized outreach instead of spraying effort broadly. The benefit is twofold: our reps spend their time on accounts more likely to convert, and we're able to run this kind of ML-driven targeting without hiring a data science function to support it. Faster time-to-value and a leaner setup are the concrete wins.
Hospital & Health Care
Smooth Onboarding and a Truly Supportive Team for Sales Predictions
Reviewed on Apr 13, 2026
Review provided by G2
What do you like best about the product?
Onboarding predictive models for our sales team was a remarkably smooth experience with Pecan. From the very first kickoff call, the Pecan team was hands-on and genuinely invested in making sure we got value quickly. The platform's UI is clean and intuitive — even team members without a technical background were able to follow along and understand the model outputs without much hand-holding. What really stood out was the level of support we received throughout the process; the team is always responsive, knowledgeable, and a pleasure to work with. It's clear they care about their customers' success, not just deploying a tool.
What do you dislike about the product?
Honestly, there isn't much to criticize. If I had to mention something, it would be nice to have a few more options for customizing dashboards and reports on the platform, but this is a minor point and hasn't impacted our overall experience.
What problems is the product solving and how is that benefiting you?
We needed a way to build predictive models that could help our sales team prioritize leads. Pecan made it possible to get these models into production quickly without requiring a dedicated data science team, which has saved us both time and resources while giving our sales org actionable insights they actually trust.
Sports
Pecan Predictive Model Build Success
Reviewed on Feb 26, 2026
Review provided by G2
What do you like best about the product?
Above all else, Pecan has been deeply committed to our success with the product. They have been consistently available to assist and consult with us on how to improve our use of the product across both current and future projects.
The customer service has been excellent.
Additionally, the model-building process speeds up our ability to produce predictive models for key business initiatives. In situations where our Team doesn’t have the bandwidth to spend weeks building a predictive model, the Pecan product allows us to create models much more quickly when time is limited.
The customer service has been excellent.
Additionally, the model-building process speeds up our ability to produce predictive models for key business initiatives. In situations where our Team doesn’t have the bandwidth to spend weeks building a predictive model, the Pecan product allows us to create models much more quickly when time is limited.
What do you dislike about the product?
We’re improving how we use Pecan with each new model run, but it can still be difficult at times to quantify all the variables within the models in a way that makes business sense.
What problems is the product solving and how is that benefiting you?
We use Pecan for projects that have both short-term and long-term impacts on the organization. Because our data warehouse is already in a strong position, we can implement Pecan quickly and start building predictive models on targeted datasets to support valuable business initiatives.
Entertainment
Fully Supportive Team for Building Predictive Models with Pecan
Reviewed on Feb 19, 2026
Review provided by G2
What do you like best about the product?
The Pecan team has been fully supportive of our entire team as we’ve learned how to best leverage their platform. We mainly use it to build predictive models that help us determine which individuals we should promote our products to.
What do you dislike about the product?
At the start, there was a learning curve on both sides when it came to understanding our data structure and making sure the Pecan team understood how our industry works. Beyond that initial ramp-up, the only real challenge I’ve run into has been navigating the time zone difference.
What problems is the product solving and how is that benefiting you?
Our main use for Pecan is to determine which people in our database we should cross-promote our brands to. This process helps us reach out to fewer people while still bringing in the same revenue, or even more.