Puller AI provides an AI-driven platform that replicates the expertise of a company’s top data analysts, delivering contextualized data insights on demand. It enables business users to retrieve and interpret complex datasets without waiting for technical teams, supporting tasks such as ad‑hoc querying, report generation, and decision‑making. The service is offered via a subscription model, charging enterprises for access to the AI analyst agents and associated usage metrics.
Funding
Funding not disclosed
Founders
Product
Problem
Retail business teams often face delays in accessing and retrieving data needed for critical decision-making, as they are dependent on IT or engineering teams to provide the required information. This dependency slows down the decision-making process and hinders productivity.
Solution
Puller AI is a no-code platform that empowers non-technical business users to independently access, transform, and retrieve data from various sources, eliminating the reliance on IT teams. The platform enables users to quickly retrieve data to answer business questions related to merchandising analytics, category performance, and shopper insights. By providing self-service data access, Puller AI accelerates the time-to-insight, enabling faster and more informed decisions. The platform connects to various data sources, including POS, ERP, CRM, RMN, CDP, DWH, PDFs, and spreadsheets, providing a 360-degree data view.
Target Audience
The primary target audience includes retail enterprises and their business teams, such as analysts and business users, who need quick and independent access to data for merchandising, category performance, and shopper insights.
Features
- No-code interface for data access and transformation, enabling business users to work independently.
- GenAI-powered automation for data retrieval using natural language queries.
- Connectivity to diverse data sources, including POS, ERP, CRM, RMN, CDP, DWH, PDFs, and spreadsheets.
- Query reusability at scale, allowing teams to share and reuse data requests.
- Enterprise-grade security controls, including SOC 2 and GDPR compliance, to protect sensitive data.