Circular is an Intelligent Document Processing platform that combines extractive and generative AI to automate document-heavy workflows across industries like insurance, banking, utilities, and hospitality. The platform extracts structured and unstructured data from PEC, PDFs, images, and scans, then triggers downstream automations via REST APIs and native connectors. It also offers Quotel, a specialized AI solution for hospitality that processes quote requests and sends extracted data directly to booking engine systems.
Funding
Funding not disclosed
Founders
Product
Problem
Companies across sectors such as insurance, banking, utilities, and hospitality face significant operational inefficiencies from manual document processing. High volumes of incoming documents—including emails, PEC, PDFs, and scans—require costly data entry and slow down critical business processes, leading to errors, delayed responses, and lost opportunities.
Solution
Circular provides an Intelligent Document Processing application that combines extractive and generative AI to automate document-heavy workflows. The platform extracts structured, semi-structured, and unstructured content from various formats with high reliability, then triggers downstream automations in operations, marketing, sales, and service. It offers pre-built document models for common use cases, native connectors, and a REST-API architecture that integrates with major management systems. Circular can be deployed on private cloud, on-premise, or hybrid environments, and includes a specialized module called Quotel that processes hospitality quote requests and automatically sends extracted data to booking engine systems.
Target Audience
Primary customers are enterprises in insurance, utilities, banking and finance, telecom, public administration, retail, healthcare, logistics, and real estate that need to automate document processing. The Quotel module specifically targets seasonal hotels, resort hotels, tourist villages, and campsites that handle high volumes of quote requests.
Features
- Pre-built document models for common documents such as identity cards, DUC, CAI, and family status certificates to accelerate deployment
- Machine learning algorithms trained on Italian documents that learn custom document layouts quickly
- Extraction from structured, semi-structured, and unstructured content delivered via PEC, PDF, images, or scans
- REST-API architecture and native connectors for integration with major management systems, deployable on private cloud, on-premise, or hybrid
- No-code interface that allows non-technical staff to create models and manage extracted data
- Downstream process automation for operations, marketing, sales, and service activities
- Security with TLS 1.3 for transit and AES-256 for REST calls, with data processed in AWS and Google Cloud environments
- GDPR-compliant data processing aligned with international privacy regulations
- Quotel module for hospitality that receives quote requests from email, PEC, and web forms, analyzes content, extracts data, and sends it to booking engine preventivators via API