Pascal provides an AI-native operating system that unifies fragmented data from the offline economy—including customer, trade, fulfillment, production, and accounting systems—into a single source of truth. Its intelligent agents automate workflows like deduction recovery, promotion measurement, and demand forecasting, helping consumer goods companies increase net sales and improve fill rates. The platform connects directly to existing data sources with self-serve setup in hours.
Funding
Funding not disclosed
Founders
Product
Problem
Consumer goods companies in the offline economy rely on fragmented data scattered across dozens of archaic portals, PDFs, spreadsheets, and fax scans. This forces employees into manual, process-heavy work—downloading files, cross-referencing documents, and keying data into legacy systems—which leads to cash left on the table, missed sales opportunities, and empty shelves.
Solution
Pascal provides an AI-native operating system that unifies customer, trade, fulfillment, production, and accounting data into one centralized source of truth. The platform connects directly to existing systems via proprietary connectors, eliminating the need for third-party middleware, and structures unstructured data from PDFs, spreadsheets, and scans. Once unified, intelligent agents leverage the data foundation to automate outcomes-focused work such as recovering cash from deductions, lifting promotion performance, and improving fill rates. The system is designed for self-serve setup in hours rather than months, enabling rapid deployment across the organization.
Target Audience
Primary customers are consumer goods companies and retailers operating in the offline economy, including sales, trade, supply chain, and finance teams that need to unify operational data and automate manual workflows.
Features
- Unified data foundation connecting customer, trade, fulfillment, production, and accounting systems into a single source of truth
- Proprietary connectors for every data integration, with no intermediate third-party providers
- AI agents that automate deduction recovery, promotion measurement, demand forecasting, and supply chain exception management
- Structured data extraction from unstructured sources including PDFs, spreadsheets, and fax scans
- Full data encryption at rest (AES 256-bit) and in transit (TLS 1.2) with immutable audit logs for every action
- Self-serve setup completed in hours, not months