Predictive analytics platform with a Predictive AI Agent that lets business analysts build and deploy ML models for churn, LTV, demand forecasting, and more - no data science team required.
Pecan AI - Predictive Analytics Without the Complexity
Pecan AI empowers data and BI teams to unlock the full potential of their data by leveraging automated predictive analytics. With Pecan's Predictive AI Agent, teams can turn business questions into reliable predictions - without relying on long, complex data science projects or advanced coding skills.
Our platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, providing transparent and explainable predictions that drive real business outcomes.
How Pecan Works#
Pecan combines a conversational AI interface with cutting-edge machine learning capabilities, enabling teams to transform raw data into actionable predictions through a guided, step-by-step framework:
Connect your data - Link Pecan to your existing data sources including data warehouses and business systems
Define your business question - Use natural language to describe what you want to predict
Automated model building - Pecan handles feature engineering, model training, and validation automatically
Deploy and operationalize - Push predictions into your downstream tools and workflows for immediate action
Predictive Use Cases
Pecan supports a wide range of predictive analytics use cases that help organizations act before outcomes are determined:
Customer Churn Prediction - Identify at-risk customers while there is still time to intervene. Connect your customer activity and transaction data, and Pecan builds a model that scores each customer's likelihood of churning. Route these scores into your CRM or marketing platform to trigger targeted retention campaigns.
Customer Lifetime Value (LTV) Assessment - Forecast the long-term revenue potential of each customer to prioritize acquisition and retention spend.
Conversion and Upsell Forecasting - Predict which prospects or existing customers are most likely to convert or purchase additional products.
Demand Forecasting - Anticipate future demand to optimize inventory levels and supply chain operations.
Lead Scoring - Rank inbound leads by their predicted likelihood to convert, helping sales teams focus on the highest-value opportunities.
Fraud and Chargeback Prevention - Detect patterns that signal fraudulent activity before losses occur.
Predictive Campaign ROAS - Forecast return on ad spend to allocate marketing budgets more effectively.
Customer Winback - Identify lapsed customers with the highest probability of re-engagement.
Integrations
Pecan integrates with tools your teams already use, including Salesforce, HubSpot, Snowflake, and BI systems, so predictions flow directly into the workflows where decisions are made. This means your teams can act on model outputs without switching platforms or building custom pipelines.
Getting Started
To learn more about how Pecan AI can work within your environment, contact our team to discuss your specific use case and explore a guided evaluation. We work with you to identify the right predictive use case, connect your data, and deliver a working model so you can assess value before scaling.
Built for Enterprise Teams
Pecan is designed for scalability and ease of use, with an analyst-friendly interface that G2 reviewers highlight for its intuitive design, responsive support, and fast path to a working model. The platform's step-by-step framework enables data and BI teams to build and deploy predictive models without deep data science expertise, while still delivering production-grade results.
Highlights
Predictive AI Agent for Business Analysts: Pecan's Predictive AI Agent turns business questions into reliable predictions without requiring data science expertise. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery - giving business teams a fast path from raw data to actionable predictions they can use immediately.
Broad Use Case Coverage Across Key Business Functions: Deploy predictive models for customer churn prediction, customer lifetime value assessment, conversion and upsell forecasting, demand forecasting, customer winback, fraud and chargeback prevention, predictive campaign ROAS, and lead scoring. Each use case is purpose-built so teams can address multiple business challenges from a single platform.
Seamless Integration with Your Existing Data and Business Tools: Pecan delivers transparent, explainable predictions that integrate directly into tools like Salesforce, HubSpot, Snowflake, and BI systems. This means predictions flow into the workflows your teams already use, driving real business outcomes without requiring changes to your existing infrastructure.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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.
You pick one of two contract plans, each billed by units. Starter gives you a base level of predictive analytics, letting you build, deploy, and read models without data science skills. Business raises your capacity with more predictions and data, plus priority support for growing teams. The plans work as tiers: you move from Starter to Business as your prediction volume, stored data, and support needs increase. Pricing scales with these usage factors rather than per-feature charges. Both plans bill on an annual cycle, and you can upgrade by contacting the vendor.
Top-of-mind questions for buyers
What counts as one prediction batch, and how does batch volume affect my plan?
A prediction batch is a single run where the platform generates predictions for your selected dataset. Each scheduled run counts as a separate batch. Both plans include a set number of monthly prediction batches, and higher volume needs move you toward the Business plan.
What happens if I reach my stored data limit?
Each plan sets a total row storage limit across all your projects. When you reach that limit, you either remove old data or upgrade your plan to add capacity. The Business plan gives you a higher storage limit than Starter.
What drives the difference in cost between the Starter and Business plans?
Cost scales with three usage factors: monthly prediction batches, total rows of stored data, and support level. Business adds more predictions, more data capacity, and priority support. You are not charged per feature; the plan tier reflects your combined usage needs.
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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.
Pecan AI is committed to customer success and provides hands-on support throughout your journey with the platform.
For questions about using the platform, troubleshooting issues, or requesting refunds, please contact the Pecan AI support team through the channels provided upon account activation.
Pecan AI's support team is recognized for exceptional responsiveness, smooth onboarding assistance, and a deep commitment to helping customers succeed with their predictive analytics initiatives.
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.
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Analyst-Friendly UI and Responsive Support That Delivers
Reviewed on Sep 08, 2026
Review provided by G2
What do you like best about the product?
The UI is friendly for analysts and is great for providing a simple step-by-step framework of building, training, and shipping a model to production. The support team has also been extremely receptive of feedback/questions that are raised, and are quick to investigate and even implement changes on the platform according to our feedback/requests. I also appreciate the tool's recommendation features where it will automatically provide troubleshooting for any issues that it can see. I also really like the "compare" tool and customized fields for multiple comparisons.
What do you dislike about the product?
I wish there was a way to group flows together, and an archive vs delete option.
What problems is the product solving and how is that benefiting you?
Once stood up, it provides a way for analysts to explore, iterate, and build ML models that may help to reduce costs & ROI for our customers.
Health, Wellness and Fitness
Made EDA Simple and Delivered an Amazing Churn Model
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
It made EDA very simple and also made it easier to learn about our business. I loved working with the team—they were extremely knowledgeable and also very strict about making sure the models were solid and that there was no leakage. We’d been trying to get a churn model up and running, but with a small team we could never get through all of the modeling, and the results were never very good. Now our new model is doing amazing at predicting based on our data! id say its definitely worth the price
What do you dislike about the product?
nothing so far - its been really helpful
What problems is the product solving and how is that benefiting you?
We needed to identify people who were likely to churn and then find a way to save them, since our renewal rates were dropping. Pecan helped us deploy a super successful model that identifies churn risk with high accuracy.
Manufacturing
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.