FloodMapp is a technology company that specialises in rapid real-time flood forecasting and flood inundation mapping to provide greater warning time and situational awareness.

Pano - Actionable Intelligence for Wildfire Management is an advanced, connected platform designed for fire professionals, enabling them to detect threats, verify fires, and share critical information with response teams faster than ever before.

SeismicAI is a provider of innovative Earthquake Early Warning Systems (EEW) ensuring earthquake preparedness. SeismicAI's algorithms utilise local sensors to issue high-precision alerts for earthquake preparedness. The system covers the full early warning cycle - from monitoring and reporting, through alerts, to optionally triggering automated preventive actions.

The AIFS is the first fully operational weather prediction open model using machine learning technology for weather forecasting.

The GDA leverages aerial imagery, satellite data, and machine learning techniques to evaluate the damage in areas impacted by natural disasters. This tool greatly enhances the efficiency and precision of disaster response operations.

PetaBencana.id leverages AI to provide residents, government agencies, and first responders with a real-time disaster mapping platform for Indonesia.

ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally accessible, living knowledge base of adversary tactics and techniques against Al-enabled systems based on real-world attack observations and realistic demonstrations from Al red teams and security groups.

Risk Atlas Nexus provides tooling to connect fragmented AI governance resources through a community-driven approach to curation of linkages between risks, datasets, benchmarks, and mitigations. It transforms abstract risk definitions into actionable AI governance workflows.

Croissant is an open-source framework developed by MLCommons to standardise dataset descriptions, enhance data discoverability, and facilitate automated use across machine-learning tasks. Croissant ensures datasets are consistently documented by providing structured metadata schemas, improving interoperability, transparency, and ease of integration.

An artificial intelligence (AI) impact assessment tool to provide organisations a method to assess AI systems for compliance with Canadian human rights law. The purpose of this human rights AI impact assessment is to assist developers and administrators of AI systems to identify, assess, minimise or avoid discrimination and uphold human rights obligations throughout the lifecycle of an AI system.

The Infosys Responsible AI toolkit provides a set of APIs to integrate safety, security, privacy, explainability, fairness, and hallucination detection into AI solutions, ensuring trustworthiness and transparency.

PolicyPilot is designed to assist users in creating and managing AI policies, streamlining AI governance with automated compliance monitoring and risk management.

HiddenLayer’s AISec Platform is a GenAI Protection Suite purpose-built to ensure the integrity of AI models throughout the MLOps pipeline. The platform provides detection and response for GenAI and traditional AI models to detect prompt injections, adversarial AI attacks, and digital supply chain vulnerabilities.

This program provides organisations with a comprehensive, independent review of their AI approaches, ensuring alignment with consensus standards and enhancing trust among stakeholders and the public in their AI practices.

This tool provides a comprehensive risk management framework for frontier AI development, integrating established risk management principles with AI-specific practices. It combines four key components: risk identification through systematic methods, quantitative risk analysis, targeted risk treatment measures, and clear governance structures.

An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models. This library provides a comprehensive set of tools to ensure transparency, accountability, and ethical AI development.

Behavior Elicitation Tool (BET) is a complex-AI system that systematically probes and elicits specific behaviors from cutting-edge LLMs. Whether for red-teaming or targeted behavioral analysis, this automated solution is Dynamic Optimized and Adversarial (DAO) and can be configured to test the robustness precisely and help to have a better control of the AI system.

The AI Risk Ontology (AIRO) is an open-source formal ontology that provides a minimal set of concepts and relations for modelling AI use cases and their associated risks. AIRO has been developed according to the requirements of the EU AI Act and international standards, including ISO/IEC 23894 on AI risk management and ISO 31000 family of standards.

COMPL-AI is an open-source compliance-centered evaluation framework for Generative AI models

MLPerf Client is a benchmark for Windows and macOS, focusing on client form factors in ML inference scenarios like AI chatbots, image classification, etc. The benchmark evaluates performance across different hardware and software configurations, providing command line interface.