Pecan is an automated predictive analytics platform that enables data analysts to build machine learning models using SQL without requiring coding skills. It addresses the challenges of slow and costly data science processes by streamlining data preparation and model deployment, allowing businesses to generate accurate predictions quickly.
Funding
$117.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional machine learning model development requires specialized data science expertise, making it difficult for data analysts to leverage predictive analytics. This creates a bottleneck, slowing down the process of generating actionable insights from data.
Solution
Pecan AI offers an automated predictive analytics platform that empowers data analysts to build machine learning models using SQL, without requiring coding or data science skills. The platform streamlines the entire process, from data preparation and feature engineering to model training and deployment. Pecan AI's Predictive GenAI capabilities combine generative AI with predictive machine learning, enabling users to build models through a chat interface and a SQL-based notebook with auto-generated code. The platform's AI assistant guides users through model refinement, ensuring accuracy and transparency.
Target Audience
Pecan AI is designed for data analysts, BI analysts, and marketing professionals who need to build and deploy predictive models without extensive data science expertise.
Features
- Automated data preparation and feature engineering to create AI-ready datasets
- SQL-based modeling environment for building custom predictive models
- Predictive Chat interface for natural language queries and model definition
- Predictive Notebook with auto-generated SQL code for data transformation
- AI Assistant for guidance on model refinement and optimization
- Pre-built integrations with popular data warehouses like Snowflake, BigQuery, Redshift, and Databricks
- Secure connectors for direct data access without PII requirements
- Model performance benchmarking with metrics like AUC, lift, and forecast error
- Native integrations and API for seamless data flow into CRMs, marketing platforms, and BI dashboards