Peche Labs transforms unstructured documents such as contracts, audit reports, and technical manuals into structured, machine‑readable knowledge bases using knowledge graphs, data engineering, and NLP. Their service extracts entities, relationships, and metadata to create AI‑ready datasets that enable reliable semantic search, automation, and analytics for regulated enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often have large volumes of unstructured documents—contracts, audit reports, technical manuals—that are difficult for AI models to interpret, leading to unreliable outputs and limited automation.
Solution
Peche Labs provides a data‑structuring service that converts these unstructured documents into machine‑readable, structured knowledge bases. Leveraging expertise in knowledge graphs, data engineering, and natural language processing, the company extracts entities, relationships, and metadata to create reliable, AI‑ready datasets. These structured datasets enable downstream AI applications such as semantic search, workflow automation, and analytics to produce transparent, traceable, and trustworthy results. Peche Labs works closely with clients to align the data model with business requirements, ensuring the resulting knowledge graph reflects the organization’s specific domain and compliance needs.
Target Audience
Primary customers are enterprises in regulated sectors such as legal services, auditing, and technology that need high‑quality, structured data to power AI‑driven search, automation, and decision‑support systems.
Features
- Automated extraction of entities, attributes, and relationships from diverse document types (e.g., legal contracts, audit reports, technical specifications)
- Construction of domain‑specific knowledge graphs that provide a unified, queryable view of structured information
- Integration of NLP pipelines for entity recognition, classification, and semantic enrichment
- Data validation and provenance tracking to ensure traceability and compliance
- Customizable data models tailored to client workflows and industry standards
- Export of structured data in common formats (RDF, JSON‑LD, CSV) for seamless consumption by AI and analytics platforms