Pecan AI
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About
Pecan AI is an automated predictive analytics platform designed for data analysts. It allows users to build powerful predictive AI capabilities using SQL without coding or data science skills. The platform streamlines the entire process, from use case identification and data connection to automated training, deployment, and security. It offers solutions for customer acquisition, engagement, and retention, as well as business outcome forecasting. Pecan integrates with various data sources, automates data preparation, and provides support from AI specialists. It's designed to address challenges like the scarcity of data scientists, tedious data preparation, and difficulty in identifying suitable AI projects. The platform boasts a user-friendly interface and transparent pricing.
Platform
Features
• one-click deployment
• ai assistant
• no-code tools
• top-tier security
• generative ai copilot
• sql-based modeling
• automated data prep
• automated predictive analytics platform
FAQs
How long does it take to build a machine learning model with Pecan?
Using Pecan, most data analysts successfully build their first model in just days. Compare that to the months a traditional data science team would need to hand-build custom predictive models. Our automated data prep capabilities, SQL-based modeling, and generative AI copilot help analysts speed through the process. Your business can benefit from accurate predictive modeling faster with Pecan than with any other predictive solution.
How much does Pecan cost?
Nothing! Well, for the first 7 days. We want you to sample Pecan first and make sure it’s the right tool for your team. After that, you can choose one of our packages or let us customize a quote for your needs. Other tools may have unclear pricing based on your compute or usage, but with Pecan, you’ll know in advance what your costs will be, making planning and budgeting much more straightforward.
How is my data kept secure?
You choose which data gets imported to Pecan’s cloud environment for model training. Anything you don’t select stays put in your data center. No PII is ever required for training models. Plus, we take exceptional measures to ensure the safety of your data. We’re happy to discuss any specific concerns you have, so don’t hesitate to contact us with questions.
How does Pecan connect to other data and business tools?
One word: Easily. We’ve got pre-built integrations to many of the most widely used data and business tools so that you can connect in just a few clicks. And if you need a connection that’s not on the list right now, let us know. It could already be in the works!
What data is required to build predictive models using Pecan?
Generally, Pecan needs at least 6 months of event-based data with over a thousand daily events (e.g., purchases, registrations, active users, etc.). To make predictions further into the future, it helps to have more data from the past. For example, if you want to predict what will happen a year from now, we recommend at least 16 months of historical data.
How does Pecan deal with messy data?
Pecan’s automated processes detect and fix common issues in data quality—such as missing data, outliers, or duplicated data. These proprietary, unique methods eliminate the tedious, time-consuming work required to create an AI-ready dataset. This preparation also improves predictive models’ performance and helps you get the most value from your data.
Pricing Plans
Starter
USD950.00 / per month• 250K monthly predictions
• 20M uploaded rows monthly
• 20 trained models monthly
• In-app support
Business
USD1750.00 / per month• 600K monthly predictions
• 50M uploaded rows monthly
• 40 trained models monthly
• Customer success specialist support
Enterprise
Unknown Price• Custom monthly predictions
• Custom uploaded rows monthly
• Custom trained models monthly
• Dedicated team with SLA
Job Opportunities
Principal Backend Engineer
Pecan AI is a no-code, automated predictive analytics platform that empowers data analysts to build and deploy machine learning models with SQL, simplifying the process and accelerating business impact.
Education Requirements:
B.Sc. or higher in Computer Science or similar
Experience Requirements:
15+ years of experience developing backend systems with passion for excellence
10+ years of experience in Python
5+ years of experience with tools such as containers, CI/CD, testing / monitoring / logging
Experience with REST APIs, server-side API integration, queues and distributed systems
Knowledge of ORM, SQL and Data Modeling
Responsibilities:
Help us build a world class scalable backend platform
Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature
Take part in architecture design and technological leadership
Show more details
Senior Backend Engineer
Pecan AI is a no-code, automated predictive analytics platform that empowers data analysts to build and deploy machine learning models with SQL, simplifying the process and accelerating business impact.
Education Requirements:
B.Sc. or higher in Computer Science or similar
Experience Requirements:
10+ years of experience developing backend systems with a passion for excellence
5+ years of experience in Python
5+ years of experience with tools such as containers, CI/CD, testing/monitoring / logging
Experience with REST APIs, server-side API integration, queues, and distributed systems
Knowledge of ORM, SQL, and Data Modeling
Responsibilities:
Help us build a world class scalable backend platform
Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature
Take part in architecture design and technological leadership
Show more details
Senior ML Engineer
Pecan AI is a no-code, automated predictive analytics platform that empowers data analysts to build and deploy machine learning models with SQL, simplifying the process and accelerating business impact.
Education Requirements:
BSc./MSc. In CS or similar – an advantage
Experience Requirements:
5+ years experience as a Machine Learning Engineer
10+ years of experience with Python/Java/Scala
Strong understanding of distributed systems, object-oriented programming and design patteri
Distributed Compute frameworks such as Spark, Dask, Ray etc
Hands-on experience designing, training, and deploying machine-learning models
Responsibilities:
Work on pecans’s core data and machine learning infrastructure
Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation
Show more details
Ratings & Reviews
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