top of page

Research Results

121 results found with an empty search

  • About | GenAISafety

    Join a Collaborative AI Project with GenAISafety GenAISafety: Mission, Purpose, and Values Axioms Health and safety are fundamental rights for all workers. Artificial intelligence is a powerful tool to enhance risk prevention and optimize productivity. Sustainability and ethics are essential for a long-term approach to workplace health and safety. Mission GenAISafety's mission is to develop and implement innovative, trustworthy, and sustainable AI solutions to enhance safety, health, and productivity in the workplace. We are committed to creating a new era of safer, more efficient, and more sustainable work environments through the responsible use of AI. Values Innovation: Encouraging creativity and exploring new ideas to solve complex challenges related to occupational health, safety, and prevention. Integrity and Responsibility: Acting ethically and transparently, upholding the highest standards for data security, privacy, and societal and environmental impact. Excellence: Striving for the highest quality standards in our products and services, grounded in deep expertise and continuous improvement. Collaboration: Working in partnership with our clients, partners, and employees to develop tailored and effective solutions. Sustainability: Ensuring our AI solutions are not only effective but also sustainable and aligned with the principles of trustworthy AI. GenAISafety: Revolutionizing Health, Safety, and Environment with Trusted AI In a world where workplace safety is more crucial than ever, GenAISafety stands at the forefront by developing a trustworthy artificial intelligence (AI) platform. Our mission is clear: to transform critical systems related to health, safety, and the environment through advanced technologies that minimize risks and maximize the protection of people and resources. An Ethical and Reliable AI GenAISafety is built on fundamental principles of integrity and transparency. We integrate rigorous standards to ensure that our AI is not only high-performing but also ethical. By addressing algorithmic biases and establishing clear protocols, we guarantee informed and responsible decision-making within our systems. Compliance with Global and Quebec Standards GenAISafety positions itself as a key player in the health, safety, and environment domain by ensuring rigorous compliance with the most demanding standards. Our platform is designed to meet the requirements of Quebec’s regulatory frameworks, including: Occupational Health and Safety Act (LSST): Establishes fundamental principles to ensure worker protection on all worksites. Occupational Health and Safety Regulation (RSST): Details preventive measures to protect workers in various environments. Safety Code for Construction Work (CSTC): A regulation applicable to all construction sites in Quebec, defining specific rules regarding work organization, equipment, and safety measures according to the risk level of the tasks Transforming Data into Action GenAI Safety enables the transformation of research findings into practical and predictive tools. For instance, by applying reactive statistics from CNESST or OSHA to predictive measures, GenAISafety uses accident data to anticipate and reduce future incidents. This demonstrates how scientific research can be directly integrated into AI systems to enhance workplace safety. Prediction and Prevention Generative AI models are capable of analyzing vast datasets to identify emerging trends and risks. Leveraging these capabilities, GenAISafety can create customized, interactive training that incorporates the latest scientific findings, making learning more relevant and effective for health and safety professionals. Ethics and Compliance Applying research-based knowledge must also adhere to strict ethical standards. GenAISafety is committed to obtaining explicit consent for collecting sensitive data, ensuring that information use respects individual rights while integrating the best ethical practices from scientific research. Interdisciplinary Collaboration GenAI fosters close collaboration among researchers, HSE (Health, Safety, and Environment) professionals, and tech developers. This synergy allows valuable insights to be shared on applying AI technologies in workplace safety while addressing associated ethical and regulatory challenges. Continuous Innovation Using GenAI to update scientific knowledge in real-time enables continuous improvement in safety practices. By integrating the latest research into its algorithms, GenAISafety ensures that its solutions remain at the forefront of innovation, meeting the evolving needs of the market.

  • GenAISafety Twin's | GenAISafety

    GenAISafety Twin's AI-Driven Workplace Safety Platform Summary of GenAISafety Twin's AI-Driven Workplace Safety Platform 🚀 Revolutionizing Workplace Safety with GenAISafety Twin The GenAISafety Twin platform, powered by advanced AI technology, represents a groundbreaking approach to managing workplace safety across high-risk industries. By leveraging generative AI models and digital twin simulations, GenAISafety Twin enables companies to shift from reactive to proactive safety management strategies. The platform addresses occupational health and safety (OHS) concerns with a comprehensive suite of tools, including risk prediction, real-time monitoring, compliance automation, and immersive training experiences. This in-depth overview explores how GenAISafety Twin is transforming safety practices and the key features that make it a valuable asset in today’s dynamic workplace environments. 🧑🏫 AI-Powered Training & Education for HSE Professionals Overview: GenAISafety Twin offers a range of AI-driven training modules and educational resources aimed at Health, Safety, and Environment (HSE) professionals. The platform provides a centralized knowledge base that includes real-world case studies and best practices for implementing AI in safety management. This enables HSE experts to upskill and stay current with AI advancements in risk management. Comprehensive Resources: Training covers basic to advanced AI applications in safety. Real-World Case Studies: Examples from various industries show successful applications. Continuous Learning: Ensures professionals are updated on AI safety technologies. 🌐 Digital Twin Technology: Virtual Environments for Safe Simulation Overview: The GenAISafety Twin employs digital twins, creating virtual replicas of industrial environments where AI algorithms can be tested safely and refined. This feature allows for predictive simulations to identify potential hazards and conduct safety tests without exposing workers to real-life dangers. Predictive Scenarios: Identifies hazards and optimizes response in a risk-free space. Application Across Industries: Construction, manufacturing, and logistics benefit significantly. Emergency Drill Simulation: Virtual emergencies like chemical spills can be rehearsed for faster real-life responses. ⚙️ Adaptive AI for Real-Time Safety Optimization Overview: Using generative AI, GenAISafety Twin tailors safety protocols to adapt to evolving workplace conditions. The platform’s algorithms dynamically adjust recommendations based on real-time data, making it possible to respond proactively to emerging risks and environmental changes. Real-Time Hazard Detection: AI models track conditions and adjust safety measures. Data-Driven Protocols: Adapts safety advice to specific workplace conditions. Improved Safety Outcomes: Decreases incidents by aligning protocols with ongoing analysis. 📋 Regulatory Compliance Automation Overview: In sectors where compliance with strict safety regulations (like OSHA or CNESST) is essential, GenAISafety Twin automates the inspection process using virtual safety audits. This function reduces the burden on safety officers by ensuring that safety measures are in line with current standards. Proactive Compliance Checks: Automated inspections run in digital twin environments. Alerts for Non-Compliance: Identifies issues and generates reports for quick remediation. Reduced Penalties: Ensures regulatory adherence, avoiding fines and sanctions. 🧰 PPE Optimization: Personalized Safety Recommendations Overview: The GenAISafety Twin platform analyzes job-specific tasks to recommend suitable Personal Protective Equipment (PPE). By simulating various configurations, the AI can tailor PPE recommendations for the highest safety and comfort, optimizing workers' protection on-site. Custom PPE Configurations: Recommendations are tailored to specific job requirements. Enhanced Safety Compliance: Ensures PPE meets both regulatory and functional needs. Simulation Tested: PPE effectiveness is validated in virtual environments. 📊 Automated Safety Reporting Overview: With AI, GenAISafety Twin streamlines the process of generating safety reports. The platform can automatically create and update compliance documents, incident reports, and safety audits, which helps teams maintain high standards with less administrative burden. Incident Tracking: Logs incidents and suggests preventive measures. Simplified Reporting: Generates essential documentation, saving time and reducing errors. Data-Driven Decisions: Provides actionable insights to improve workplace safety. 🏗️ Industry Applications: Tailored Solutions for Construction, Manufacturing, and Heavy Industries Overview: GenAISafety Twin serves various industries with specific use cases for construction, manufacturing, and heavy industries, where risks are particularly high. Customizable safety solutions support these sectors in aligning operations with the highest standards of safety. Construction-Specific Protocols: Addresses hazards like fall protection and equipment safety. Manufacturing Safety Plans: Optimizes machinery use and reduces repetitive strain injuries. Heavy Industry Standards: Meets rigorous standards for environments with complex risks. IBM 𝗷𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝗮 299-𝗽𝗮𝗴𝗲 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗰𝗿𝗲𝗮𝘁𝗲 𝗿𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘃𝗮𝗹𝘂𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 (𝗙𝗢𝗥 𝗙𝗥𝗘𝗘!). SquadrAI Team May 5 From Spreadsheets to GenAISafety: The Revolution in Workplace Safety Management SquadrAI Team Apr 7 🚀 Revolutionize Your HSE Strategy with PromptAI: The Future of Prompt Engineering in Health and Safety SquadrAI Team Apr 7 Comprehensive analysis of Predictive Detection applications across different NAICS (SCIAN) sectors. SquadrAI Team Mar 20 Implementing AI Safety Systems: Overcoming Key Challenges SquadrAI Team Mar 5 Quick View GenAISafety Suite Price C$49,995.00 Quick View BIM Digital Twins for Safety and Efficiency Price C$19,995.00 Quick View GenAISafety Twin Manufacturing Suite Price C$9,995.00 Quick View GenAISafety Suite for Sustainability & ESG Data (TWIN) Price C$4,995.00 Quick View GenerAI-HSE Case Study Generator- TWIN Price C$4,995.00 Quick View LLM GenAISafety Development Agent. Optimiser les protocoles d'urgence TWIN Price C$4,995.00 Quick View GenAISafety DynamicAssessor (TWIN) Price C$4,995.00 Quick View GenAISafety RiskNavigator (TWIN) Price C$4,995.00 Quick View SMART (System of Modeling Anticipation of Risks at Work)- GenAISafety Twin Regular Price C$4,995.00 Sale Price C$2,497.50 Quick View ViAI Transport de Personnes Price C$2,995.00

  • GenAISafety concepts | GenAISafety

    GenAISafety AI concepts GenAISafety use approaches and techniques aimed at ensuring the safe and responsible development and deployment of generative AI systems. Based on the search results, here are some key concepts related to GenAISafety: Safety by Design Framework: T his involves incorporating safety and ethical considerations from the early stages of AI development. It includes four key elements for delivering safe and reliable generative AI systems. Adversarial Testing: This is a proactive approach to identify and mitigate potential risks in GenAI models before they are broadly available. It involves systematically evaluating models with malicious or inadvertently harmful inputs across various scenarios. Scaled Adversarial Data Generation: This technique creates diverse test sets containing potentially unsafe model inputs to stress-test model capabilities under adverse circumstances. Automated Test Set Evaluation: This allows for rapid evaluation of thousands of model responses across a wide range of potentially harmful scenarios. Community Engagement: This is crucial for identifying "unknown unknowns" and seeding the data generation process for safety testing. Rater Diversity: Safety evaluations rely on human judgment, which is shaped by community and culture. Prioritizing diversity in raters helps account for different cultural perspectives on safety. Specialized Enterprise LLMs: Using industry-specific models with relevant frameworks and customer-specific rules can enhance precision and safety for business needs. Guardrails-First Mindset : Implementing strong governance mechanisms and guardrails for responsible AI use helps protect against misuse and security threats. Employee Training Initiatives : Raising AI awareness among employees through training helps in understanding the technology's possibilities and limitations, fostering trust and proper usage. Strict Data Privacy: Ensuring data privacy across the enterprise is crucial, especially in industries handling sensitive personal information. Ethical and Fairness Considerations Ethical and Fairness Considerations AI Ethics: AI ethics are a priority for GenAISafety, ensuring that the technology is developed and deployed responsibly. The system considers privacy, fairness, and the well-being of workers, aligning with broader ethical standards in AI. Ethical and Fairness Considerations Ethical and Fairness Considerations Algorithmic Fairness: GenAISafety implements algorithmic fairness principles to ensure that its safety recommendations are equitable and do not favor one group of workers over another. This focus on fairness is critical for maintaining trust and compliance in safety management. Data and Analytics Concepts Data and Analytics Concepts Transfer Learning: Transfer learning in GenAISafety allows the system to apply knowledge gained from one industry or safety scenario to improve performance in another. This capability enhances the system’s adaptability across different environments and industries. Data and Analytics Concepts Data and Analytics Concepts Cloud Computing: GenAISafety leverages cloud computing to store and process large volumes of safety data, ensuring scalability and accessibility from multiple locations. This infrastructure supports the platform’s ability to handle extensive datasets and complex analyses efficiently. Data and Analytics Concepts Data and Analytics Concepts Data Mining: GenAISafety uses data mining techniques to extract valuable insights from large datasets, uncovering trends and correlations that could indicate emerging safety risks. This information is critical for proactive risk management. Application-Specific Concepts Application-Specific Concepts GANs (Generative Adversarial Networks): GenAISafety may use GANs to generate synthetic data for training its models, especially in scenarios where real-world data is scarce or sensitive. This approach helps in creating robust AI models that can handle a wide range of safety scenarios. Ethical and Fairness Considerations Ethical and Fairness Considerations Explainable AI: To build trust and ensure transparency, GenAISafety employs explainable AI techniques that allow users to understand how the AI arrived at a particular safety recommendation. This transparency is vital for user confidence and regulatory compliance. Ethical and Fairness Considerations Ethical and Fairness Considerations Bias in AI: GenAISafety actively monitors and addresses potential biases in its AI models to ensure fair and unbiased safety recommendations. This practice is essential in providing equitable safety solutions across diverse workplace environments. Data and Analytics Concepts Data and Analytics Concepts Edge Computing: Edge computing is used in GenAISafety to process data locally on-site, reducing latency and ensuring that safety alerts and interventions are timely. This capability is particularly important in environments where immediate response is critical. Data and Analytics Concepts Data and Analytics Concepts Big Data: Handling and analyzing massive datasets is a core capability of GenAISafety. The system leverages big data to consider a wide range of variables and make informed safety recommendations based on comprehensive analysis, leading to more accurate and reliable outcomes. Application-Specific Concepts Application-Specific Concepts Edge AI: GenAISafety employs Edge AI by deploying AI models directly on edge devices, ensuring that safety interventions can occur in real-time without relying solely on central servers. This capability is crucial for immediate response in critical situations. Application-Specific Concepts Application-Specific Concepts Robotics: In industries where automation is prevalent, GenAISafety integrates with robotics to ensure that robots operate safely and do not introduce new risks into the workplace. This integration is essential for maintaining a safe environment in highly automated settings.

  • AgenticSST Québec | GenAISafety

    Coming Soon All Videos

  • Safeguard Pioneers | GenAISafety

    Le Programme de Partenariat AI Safeguard Pioneers The AI Safeguard Pioneers Partnership Program is an innovative initiative that combines the strengths of GenAISafety and Preventera to promote the responsible use of artificial intelligence in the field of occupational health and safety (OHS). The ultimate goal of this initiative is to advance workplace accident prevention on a global scale by creating safer and more efficient working environments across various industries. Composantes clés AI Safeguard Pioneers vise à devenir un leader mondial dans l'intégration de l'innovation technologique et de l'expertise humaine, en repoussant les limites de la SST grâce à des analyses avancées et au potentiel transformateur de l'IA. Le programme AI Safeguard Pioneers représente une alliance stratégique entre GenAISafety et Preventera, visant à révolutionner la sécurité au travail grâce à l'IA tout en maintenant une approche éthique et centrée sur l'humain. Plateforme GenAISafety Propulsée par OpenAI, cette plateforme intègre des données multimodales et multilingues. Elle vise à assurer un déploiement sûr et évolutif des solutions d'IA dans le domaine de la SST Expertise de Preventera Preventera apporte plus de 50 ans d'expertise en SST. L'entreprise combine cette expérience avec les dernières avancées en IA, analytique et science des données Innovations clés Surveillance et prévention des risques : Utilisation de l'IA pour identifier et atténuer proactivement les dangers sur le lieu de travail. Analyses prédictives : Exploitation des données pour anticiper les problèmes de sécurité potentiels. Solutions personnalisées : Développement de stratégies sur mesure pour répondre aux défis complexes en matière de SST Technologie avancée Qualité vérifiée Matériaux de haute qualité Norme la plus élevée Professionnels agréés Valeur réelle

  • Packages and Services | GenAISafety

    Formules personnalisées Les formules personnalisées de GenAISafety offrent une flexibilité et une puissance inégalées pour exploiter pleinement le potentiel des grands modèles de langage (LLM) dans le domaine de la santé et sécurité au travail (SST). Ces formules permettent aux entreprises de créer des colonnes de calcul sur mesure, intégrant des métriques spécifiques à leur industrie et à leurs besoins en SST.Grâce à l'interface intuitive du workspace OpenAI GenAISafety, les utilisateurs peuvent combiner des données provenant de diverses sources, appliquer des fonctions avancées et créer des indicateurs de performance clés (KPI) personnalisés. Ces formules peuvent, par exemple, calculer des taux d'incidents ajustés au risque, évaluer l'efficacité des mesures préventives ou prédire les tendances en matière de sécurité.De plus, les formules personnalisées peuvent intégrer les résultats des LLM spécialisés en SST, permettant ainsi d'enrichir les analyses avec des insights générés par l'IA. Cette approche hybride, combinant données structurées et intelligence artificielle, offre une vision plus complète et nuancée de la performance en SST, aidant les entreprises à prendre des décisions plus éclairées et à optimiser continuellement leurs stratégies de prévention des risques. Formule Discovery La Formule Discovery de GenAISafety est conçue pour les entreprises qui font leurs premiers pas dans l'utilisation de l'IA générative pour la santé et sécurité au travail (SST). Cette offre d'entrée de gamme permet aux organisations d'explorer le potentiel des grands modèles de langage (LLM) dans le domaine de la SST, tout en bénéficiant d'un encadrement sécurisé. Formule Liberty La Formule Liberty de GenAISafety est une solution intermédiaire conçue pour les entreprises qui souhaitent exploiter pleinement les capacités des grands modèles de langage (LLM) dans le domaine de la santé et sécurité au travail (SST). Cette offre complète permet aux organisations d'intégrer l'IA générative de manière approfondie dans leurs processus de SST, tout en bénéficiant d'un environnement sécurisé et personnalisable Formule Enterprise La Formule Entreprise de GenAISafety est une solution haut de gamme conçue pour les grandes organisations ayant des besoins complexes en matière d'intelligence artificielle générative et de santé et sécurité au travail (SST). Cette offre complète et personnalisable permet aux entreprises d'exploiter pleinement le potentiel des grands modèles de langage (LLM) pour transformer leur approche de la SST. Formule GPT Prevent La Formule GPT Prevent de GenAISafety est une solution spécialisée conçue pour les entreprises qui accordent une importance primordiale à la sécurité et à la conformité dans l'utilisation de l'IA générative pour la santé et sécurité au travail (SST). Cette offre innovante combine des technologies de pointe avec des pratiques de sécurité rigoureuses pour créer un environnement d'IA robuste et fiable. Elle comprend un accès à un OpenAI Workspace GenAISafety de base, préconfiguré avec des LLM spécialisés en SST, couvrant des aspects essentiels tels que la gestion des risques, l'analyse des incidents et la conformité réglementaire. Les utilisateurs bénéficient d'une formation initiale sur l'utilisation responsable de ces outils, ainsi que d'un support technique par email pour guider leurs premiers pas. Cette formule offre une introduction structurée et sécurisée à l'IA générative en SST, permettant aux entreprises de découvrir son potentiel tout en minimisant les risques associés à son adoption. Démo Gratuite Webinaire LLM-SST La Formule Liberty offre un Workspace OpenAI GenAISafety avancé, permettant la création et la gestion de multiples LLM spécialisés en SST. Elle comprend des services de fine-tuning pour adapter les modèles aux spécificités de l'industrie du client, ainsi qu'un apprentissage continu pour maintenir les LLM à jour. Les entreprises bénéficient également d'outils d'analyse de performance et de sécurité, de fonctionnalités SST avancées, et d'une formation approfondie sur l'optimisation et l'utilisation des modèles. Cette formule est idéale pour les organisations cherchant à intégrer pleinement l'IA générative dans leur stratégie de SST, en offrant une solution flexible et puissante pour améliorer la gestion des risques, la conformité réglementaire et la sécurité globale sur le lieu de travail. Audit IA-SST Formation LLM Avancée Au cœur de cette formule se trouve un Workspace OpenAI GenAISafety premium, offrant un environnement sécurisé et flexible pour le déploiement de LLM sur mesure adaptés aux différents départements et fonctions SST de l'entreprise. L'intégration d'un service RAG (Retrieval-Augmented Generation) complet permet d'enrichir continuellement les modèles avec des connaissances spécifiques à l'industrie et à l'entreprise, assurant ainsi des réponses toujours pertinentes et à jour. La Formule Entreprise va au-delà de la simple fourniture de technologie en offrant un accompagnement stratégique personnalisé, une intégration sur mesure avec les systèmes existants, et des programmes de formation avancés. Elle inclut également des outils de gouvernance et de contrôle sophistiqués pour garantir une utilisation éthique et sécurisée de l'IA en SST. Cette solution complète vise à transformer radicalement la gestion de la SST, en permettant aux grandes organisations de créer un environnement de travail plus sûr, plus efficace et plus réactif grâce à l'IA générative. Atelier Stratégique Pilote RAG-SST Au cœur de cette formule se trouve un workspace dédié à la sécurité et à la conformité des LLM (grands modèles de langage). Ce workspace offre : Des modèles pré-entraînés sur les normes de sécurité spécifiques à l'industrie du client, garantissant une compréhension approfondie des réglementations et des meilleures pratiques en SST. Des outils automatisés de détection de biais et de contenu inapproprié, assurant que les sorties des modèles restent éthiques et conformes aux standards de l'entreprise. L'intégration de politiques de sécurité personnalisées directement dans les LLM, permettant une application cohérente des règles de sécurité de l'entreprise. La Formule GPT Prevent met l'accent sur la prévention des risques liés à l'utilisation de l'IA en SST. Elle offre des fonctionnalités avancées telles que : Une évaluation continue des risques liés aux LLM, permettant d'identifier et de mitiger les vulnérabilités potentielles. Des mises à jour régulières des bases de connaissances pour le système RAG (Retrieval-Augmented Generation), assurant que les modèles opèrent toujours avec les informations les plus récentes et pertinentes. Des audits trimestriels de sécurité des modèles, garantissant leur conformité continue aux normes de sécurité les plus strictes. Cette formule est idéale pour les organisations qui cherchent à exploiter le potentiel de l'IA générative en SST tout en maintenant les plus hauts standards de sécurité et de conformité. Elle offre la tranquillité d'esprit nécessaire pour innover en toute confiance dans le domaine critique de la santé et sécurité au travail. Évaluation Risques IA Pilote RAG-SST Obtenir un devis Paragraphe. Cliquez sur « Modifier texte » ou double-cliquez sur la zone de texte pour modifier son contenu. Prénom Nom de famille E-mail Envoyer Merci pour votre envoi !

  • HSE Analysis Transformation | GenAISafety

    AI HSE Analytics Transformation The GenAISafety AI Analytics Transformation GenAISafety category focuses on harnessing advanced artificial intelligence to transform safety data analytics within high-risk industries. This category includes AI-driven tools and solutions designed to enhance the processing, analysis, and interpretation of safety-related data, empowering organizations to make informed decisions, predict trends, and optimize safety protocols. By leveraging AI-powered analytics, companies can uncover hidden insights, foresee potential hazards, and drive continuous improvement in safety management. The GenAISafety AI Analytics Lire plus Predictive Analytics for Risk Management Trend Prediction: AI models predict safety hazards by analyzing historical data and real-time inputs, identifying patterns and trends that might lead to future incidents. Proactive Hazard Prevention: Alerts and notifications are generated based on predictive analytics, allowing companies to take preventive measures before incidents occur. Real-Time Data Processing and Monitoring AI-Powered Data Ingestion: Tools designed to capture and process data from multiple sources (IoT devices, sensors, safety reports) in real-time, enabling immediate risk identification. Automated Anomaly Detection: AI algorithms detect abnormalities in safety operations, flagging potential issues like equipment failure or unsafe work conditions. Deep Data Analysis and Insights Data Mining and Correlation: AI analyzes vast amounts of safety data, identifying correlations and uncovering hidden insights that may not be immediately visible to human operators. Root Cause Analysis: AI-driven analysis helps organizations determine the underlying causes of safety incidents, enabling targeted interventions and corrective actions. Adaptive Learning Models Self-Improving AI Models: The system adapts and improves its risk management recommendations over time as it is exposed to new data and feedback, refining safety protocols for future operations. Adaptive Training Recommendations: Based on incident reports and data, AI suggests personalized safety training for employees, addressing gaps in knowledge and improving overall safety culture. Nouvelles Arrivées de GenAISafety LLM Accès IA et Sand Box GenAISafety Quick View AIAdoptionAnalyst Add to Cart Quick View Questionnaire Preventera IA-SST : Adoption et Impact de l'IA en SST / Preventera Add to Cart Quick View Building Agent Personas for AI Agents Add to Cart Quick View HSE Prompt Architect Add to Cart Quick View GenAISafety Suite Add to Cart Quick View Retrieval-augmented generation (RAG) Advanced Add to Cart Quick View Cognitive Safe System Add to Cart Quick View SafetyMetrics GPT Add to Cart ACHETER LLM Sandbox Studio Quick View AIAdoptionAnalyst Quick View AIEthicsGuard Quick View PrivacyGuardian AI Quick View GenAITestDrive Quick View GenAISafety PoC Quick View Agent IA – SafetyGPT-Ethica Quick View HSE Prompt Architect Quick View DataForgeAI Quick View PromptCraftPro Quick View ModelInsightAnalyzer Quick View SecureTrainLab Prenez rendez-vous Cliquez ici pour ajouter votre propre texte Je suis l'endroit idéal pour raconter une histoire et permettre à vos utilisateurs d'en savoir un peu plus sur vous. Book Now

© Droit d'auteur Canada GenAISafety © Copyright Canada GenAISafety

© Droit d'auteur GenAISafety, © Copyright GenAISafety, © Derechos de autor GenAISafety, © Urheberrecht GenAISafety, © Diritti d'autore GenAISafety, © 著作権 GenAISafety, © 版权 GenAISafety, © Direitos autorais GenAISafety,© 저작권 GenAISafety, © Авторское право GenAISafety, © Telif hakkı GenAISafety, © حقوق الطبع والنشر GenAISafety,© कॉपीराइट GenAISafety, © Hak cipta GenAISafety, © Auteursrecht GenAISafety, © Πνευματικά δικαιώματα GenAISafety.

bottom of page