Otter Stone provides automated life safety compliance software that integrates directly with BIM models for architects. The platform uses codified building and fire codes, algorithms, and AI to instantly evaluate designs against current regulations. This service accelerates drawing reviews and offers generative optimization strategies to ensure code adherence efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Ensuring hydrogen facilities adhere to complex safety regulations and codes throughout their lifecycle presents a significant challenge. Manual compliance checks and risk assessments are time-consuming and prone to error, potentially leading to safety incidents and regulatory penalties.
Solution
Otter Stone's H2 Nomos is a software platform designed to streamline hydrogen safety and regulatory compliance. The system automates critical processes, including facility design, permitting, and ongoing operations, by performing automated compliance checks against industry standards such as NFPA 2, NFPA 55, and IEC 60079. It also facilitates Hazard Identification (HazID) and Hazard and Risk Assessment (HaRA) processes, generating necessary documentation for Authorities Having Jurisdiction (AHJ) submissions. H2 Nomos supports construction phase compliance verification and manages change control for facility upgrades, ensuring continuous adherence to safety protocols and regulatory updates.
Target Audience
The primary customers are engineering, procurement, and construction (EPC) firms, facility operators, and regulatory compliance officers involved in the design, construction, and operation of hydrogen facilities.
Features
- Automated compliance verification against key hydrogen safety codes (NFPA 2, NFPA 55, IEC 60079).
- Integrated tools for Hazard Identification (HazID) and Hazard and Risk Assessment (HaRA).
- Generation of documentation packages for Authority Having Jurisdiction (AHJ) submission.
- Construction phase compliance monitoring and verification.
- Change management module for facility upgrades and modifications.
- Regulatory update tracking and notification system.
- Maintenance schedule and Process Safety Management (PSM) support.
- Utilizes a combination of traditional algorithms and AI Large Language Models (LLMs) for process automation.