Latspace provides an AI-powered platform for enterprise ESG data management, automating the extraction and normalization of data from over 200 systems. It creates a single source of truth for ESG metrics, enabling faster processing, audit-ready reporting, and full traceability to source documents.
Funding
Funding not disclosed
Founders
Product
Problem
A significant portion of enterprise ESG data remains siloed in unstructured formats like PDFs and spreadsheets, hindering efficient data collection and auditability. This fragmentation leads to manual data processing, increased operational costs, and delays in generating comprehensive ESG reports.
Solution
Latspace offers a vertical AI platform designed for enterprise ESG data management, addressing the challenges of data extraction and normalization. The platform automates the ingestion of ESG-related information from over 200 disparate systems, including ERPs, IoT sensors, and common office applications, without requiring the replacement of existing infrastructure. It consolidates this data into a single, normalized datastore, establishing a "single source of truth" for all ESG metrics. Proprietary AI-driven analytics and Large Language Model (LLM)-assisted reporting capabilities are employed to accelerate data processing, ensure 100% traceability to source documents, and facilitate the creation of audit-ready ESG reports.
Target Audience
The primary customers are enterprises seeking to streamline their ESG data management processes, improve reporting accuracy, and ensure compliance with evolving regulatory landscapes.
Features
- Universal Data Connector capable of integrating with over 200 enterprise systems (e.g., SAP, Oracle, Excel, IoT sensors).
- Automated data extraction from unstructured sources such as PDFs and spreadsheets.
- Centralized, normalized datastore for unified ESG data management.
- AI-driven analytics providing dashboards and benchmarking capabilities.
- LLM-assisted reporting for automated drafting and mapping of ESG disclosures.
- Functionality to track regulatory updates and their impact on ESG reporting requirements.
- 100% traceable audit trails linking data points back to their original source documents.
- Scalable architecture designed for enterprise-level data volumes and processing needs.