Turning data into insights with artificial intelligence
At CircularPass, we integrate artificial intelligence to simplify the collection and interpretation of business data, transforming it into valuable information for Digital Product Passports (DPPs).
Our approach combines intelligent data extraction with the development of AI-assisted integrations, simplifying information management and connectivity with enterprise systems.
Digital Product Passport
01 Information sources
02 Data extraction & mapping
03 Quality & traceability
04 Digital Product Passport
What is artificial intelligence at CircularPass?
Artificial intelligence is a key technology in the evolution of CircularPass, helping simplify the creation and maintenance of Digital Product Passports.
Much of the information required for a DPP already exists within companies, but is often scattered across PDFs, Environmental Product Declarations (EPDs), Excel spreadsheets and enterprise management systems.
AI helps identify relevant information, extract and structure product attributes, and suggest mappings to the CircularPass data model. This reduces manual data entry and helps identify incomplete or inconsistent information.
Traceability to original sources and company-led validation remain essential to ensuring the quality and reliability of the information included in the Digital Product Passport.
How does AI work at CircularPass?
CircularPass is developing artificial intelligence capabilities around two complementary workstreams: extracting and mapping existing information for Digital Product Passports, and accelerating enterprise integrations through AI agents.
Both share the same objective: transforming scattered information into structured, reusable data while reducing manual effort and maintaining control over data quality.
CircularPass is incorporating AI to transform existing business information into structured attributes for Digital Product Passports.
Identifying information sources
The process starts with existing business documents and records, including PDFs, EPDs, Excel spreadsheets and other sources of technical, environmental and product information.
Intelligent data extraction
AI identifies relevant values and attributes within documents, interprets them and converts them into structured information, helping reduce manual transcription.
Mapping to DPP attributes
Extracted information is mapped to the CircularPass data model through suggested attribute correspondences, simplifying the identification of information required to complete the Digital Product Passport.
Verification, traceability and validation
Potential inconsistencies and missing information are highlighted. References to original sources are retained so companies can review and validate proposed values before including them in the Digital Product Passport.
Our next development workstream explores the use of AI agents to accelerate integrations between CircularPass and customers' enterprise systems.
Controlled access to enterprise systems
With predefined permissions and scope, AI agents will be able to examine available interfaces and data structures in ERP, PLM and other corporate databases.
Data model analysis and mapping
Agents will suggest correspondences between source-system fields and the attributes used in the CircularPass data model.
Assisted connector generation
Based on the identified mappings, AI agents will be able to propose connector code, aiming to reduce integration development time and technical effort.
Testing and technical review
Generated connectors will undergo testing and technical review before deployment to production, ensuring compatibility, reliability and proper operation.
Explore intelligent data processing
Discover how data extraction and enterprise integrations could work through an interactive demonstration.