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.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
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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.
Pecan AI offers two contract tiers billed by units. Both let you build, deploy, and get insights from predictive models without data science expertise. The Starter tier is a starting point for predictive analytics. The Business tier scales up your usage, adding more predictions, more data volume, and priority support. Pricing moves upward with prediction volume, stored data, and support depth. As your team's needs grow, you move to the tier that fits your prediction count and data scale. Each tier is billed on an annual contract cycle.
Top-of-mind questions for buyers
What does one prediction batch mean for billing purposes?
A prediction batch is a single run where the platform generates predictions for your selected dataset. Each scheduled run counts as one separate batch. Your tier sets how many monthly prediction batches you receive, so batch volume is a main driver of which tier fits your needs.
What happens if I reach my stored data limit?
Each tier includes a set storage limit measured in rows across all your projects. If you reach that limit, you must remove old data or move to a tier that holds more volume. The transition is not automatic; you contact the customer success team to upgrade.
What drives the difference in cost between the Starter and Business tiers?
Three factors set the tier you need: monthly prediction batch volume, total rows of stored data, and support depth. The Starter tier covers a starting point, while the Business tier raises all three. These factors move together as your prediction usage grows.
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Pecan Makes Forecasting Easy, Plus Outstanding Team Support
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
Forecasting is hard! But the Pecan platform makes it a lot easier. It is very easy to setup a forecasting environment, something that can take great time and effort when done independently. It really is as easy as uploading a data file, chatting briefly with an ai agent, build a model. The best part, however, comes from the support you receive from the Pecan team. They walk side by side with you when building the model and give excellent advice and feedback on your project. They are very knowledgeable and very easy to work with.
What do you dislike about the product?
There are some limitations with the platform. The biggest thing for me was project memory. I had to keep a running log of things to try and build or ideas to test. That does not live natively in the tool. The Pecan team is there is help with project planning, but it would be great if this planning aspect could be available inside the tool itself.
What problems is the product solving and how is that benefiting you?
Right now we are using Pecan to build a demand forecast for our ecom business. As any manufacturer knows, demand planning is vital, and ecom demand planning can add layers of added difficulty. Instead of having a team member produce a demand plan, we are using Pecan! This enables time that would be spent inspecting endless versions of forecasts to be allocated to other priorities.
Anonymous
Intuitive Platform, Exceptional Support
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
I like how intuitive and easy Pecan is to work with. The model building process with the agent is simple and efficient, and the model results are presented clearly. This makes it easy to understand the model's accuracy, performance, and influential attributes. The Pecan team is also very supportive, being responsive, professional, and providing helpful guidance when needed. Additionally, the initial setup was very easy.
What do you dislike about the product?
Pleased with the platfom
What problems is the product solving and how is that benefiting you?
Pecan helps me create a predictive model to assess the future value of casino players, aiding campaign evaluations. It simplifies model building and provides clear insights into model performance and key attributes.
Computer Software
Fast Path to a Working Model with Hands-On Pecan Support
Reviewed on Aug 06, 2026
Review provided by G2
What do you like best about the product?
The speed of getting to a working model. We connected our Snowflake data, defined the predictive question, and had something meaningful to show stakeholders within weeks without needing a dedicated data science team. The iterative weekly sessions also help a lot: the Pecan team actively help with the whole process and challenges your assumptions.
What do you dislike about the product?
Not fully self service yet, getting the predictive question right takes a few iterations, and setting up the data structure pipeline requires some hand holding from their team (but they are super helpful and responsive). Fine once it's running, but the setup phase is slower than expected.
What problems is the product solving and how is that benefiting you?
Pecan helps us identify which accounts need attention before they disengage, so we can act early and keep them.
Yuqi L.
AI Chatbox Integration Makes Feature Development Easy to Explore and Iterate
Reviewed on May 27, 2026
Review provided by G2
What do you like best about the product?
the AI chatbox integrated with the model/feature development UI very well. Very easy for users to explore different features and iterate
What do you dislike about the product?
the sql syntax sometimes is a bit different with snowflake which need some extra adjustment when copy a sql query
What problems is the product solving and how is that benefiting you?
it makes DS model so much easier. I, as a DA, can put my business logics/experiences into a model and check the model score performance very easy. The model performance UI also provided enough context for me to know if the model is good
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.