La Touche provides a commercial Responsibility Infrastructure that makes operational responsibility provable, verifiable, and reconstructable from digital records. Its platform includes L-Scan, a bounded diagnostic for reconstructing responsibility from evidence, and Responsibility Rail, an execution route for preserving responsibility lifecycle mechanics. The company also offers training on Responsibility Infrastructure fundamentals for organizations adopting this approach.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations increasingly rely on AI-assisted decisions and complex operational workflows, yet they lack a systematic way to prove who was responsible for specific consequential events or boundaries. When disputes arise or audits occur, reconstructing responsibility from available records is often fragmented, incomplete, or impossible, creating legal, regulatory, and reputational exposure.
Solution
La Touche provides a commercial implementation of Responsibility Infrastructure, a framework designed to make operational responsibility provable, verifiable, and reconstructable. The platform includes L-Scan, a bounded diagnostic that examines whether responsibility for a consequential event or boundary can be reconstructed from available records, and Responsibility Rail, an execution route for implementing and preserving responsibility lifecycle mechanics. These tools enable organizations to systematically capture, store, and retrieve evidence of decision-making processes, creating an auditable trail of accountability. The company also offers training on Responsibility Infrastructure fundamentals to help teams understand and apply the framework in their operations.
Target Audience
Primary customers are organizations with high-stakes operational environments, particularly those deploying AI-assisted decision systems, that need to demonstrate accountability to regulators, auditors, or other stakeholders.
Features
- L-Scan diagnostic tool for bounded assessment of whether responsibility for a specific event or boundary can be reconstructed from existing records
- Responsibility Rail execution mechanism for implementing and preserving responsibility lifecycle mechanics across operational workflows
- Evidence-based approach with explicit results and limitations, supporting interoperability between different responsibility systems
- Training program covering foundational concepts of Responsibility Infrastructure and the problems it addresses
- Focus on AI governance, enabling organizations to document and verify responsibility for AI-assisted decisions