Oasis Loss Modeling Framework vs. Oasys Comparison Chart

Built through collaboration with global banks, HERE Enterprise Browser provides enterprise security, workforce productivity and seamless integration of enterprise AI. HERE’s Chromium-based, zero-trust security model includes integration with Microsoft Entra and other IDPs, app access controls, data loss prevention controls, executable protection and auditability for compliance. HERE supercharges productivity through app interoperability and Supertabs that combine multiple tabs into persona or task-based dashboards. It provides federated enterprise search to Microsoft 365, Google Workspace, Salesforce and other platforms. HERE also has its own Notification Center and an AI Center that enables integration of enterprise AI models into end user workflows. The company is backed by major banks and IQT, the not-for-profit strategic investor that accelerates the introduction of groundbreaking technologies to enhance the national security of America and its allies.

SafetyCulture is a workplace operations platform trusted by 85,000+ teams to work safely, meet higher standards, and improve every day. 1. Streamline operations by eliminating paper processes - with simple checklists your teams can complete on any device. 2. Get the job done with seamless task and issue management - whether a team member spots something that needs fixing during an inspection, or while on the go, it’s easy to create and assign tasks to hold the right people accountable. 3. Reduce downtime with total asset visibility - gain unique visibility via sensors and telematics data o 4. Onboard, train, and upskill teams seamlessly - deliver bite-sized training that fits into the flow of your team’s work. No matter the device or location. 5. Workplace communications fit for the frontline - close the communication gap with a message system frontline teams love to use.

Macaw AMS is for selling Insurance. Brokers, MGAs, MGUs, Program Managers and Lloyds Coverholders can use Macaw AMS to automate their operating model. Macaw AMS is built with a customer-centric model. It supports CRM, Sales, Underwriting, Rating, Policy Servicing, Claims Intimation and Billing. Self-service portals are available for Customers, Producers and Carriers. The reporting, analytics and visualization capabilities are best-in-class. Macaw AMS comes with in-built Document Management and Task Management facilities. It has several ready adaptors to provide integrated & in-flow facilities for eSignature, Payment, OFAC check, Mass Emailing and Computer Telephony, using 3rd Party Services. Macaw AMS is hosted in cloud and tested for cyber security. Technology-wise, the screens are responsive and can be used from web / mobile / tablet. The database is relational and the core components are written in Java. At the peak, Macaw AMS can process 500-1000 Policies within one day.

Careerminds is a global workforce solutions provider specializing in outplacement, career and talent development, and job architecture. We combine modern technology with high-touch, one-to-one coaching to help organizations support employees through workforce change and growth. Our scalable delivery model enables consistent, personalized experiences, offering a flexible, cost-effective alternative to traditional firms. - Outplacement and redeployment: We’re the modern partner for HR leaders who demand results. Faster transitions, measurable impact, and cost efficiency, all powered by data and a smarter coaching model. - Job architecture and career frameworks: Enable skill development and role clarity. Give employees a clear pathway to develop in roles that benefit both them and the organization. - Talent development: Executive coaching and career development programs that grow talent, improve retention, and build future-ready workforces through modern career enablement technology.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

CHARMS is a secure, online case management system used to manage all aspects of record keeping for foster care, adoption, children residential, supported accommodation, residential family centres, foster carer recruitment hubs, adult shared lives (adult foster care), supported employment and other care services. SCN is a not-for-profit organisation, and always will be privately owned. It follows the principles of sociocracy so that all staff and customers are part of the CHARMS community and its development and progress. It means that everyone - employees, customers, suppliers and, most importantly, users of CHARMS - have a say in what CHARMS does and what it needs to do. We strive to ensure that care staff, educators, social workers, support staff and others who deliver care and education, can get on with the job knowing that CHARMS looks after their important, sensitive information.

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

LendingPad is a cloud-native, enterprise loan origination system (LOS) built to modernize mortgage lending for lenders, brokers, bankers and credit unions. Designed by mortgage professionals, the platform emphasizes speed, clarity and ease of use — helping teams close loans faster while delivering a superior borrower experience. The platform centralizes workflows, automates routine tasks and ensures compliance through a scalable, API-driven architecture. By reducing bottlenecks and simplifying task execution, LendingPad enables mortgage professionals to focus less on process management and more on serving borrowers. Its flexibility allows organizations of all sizes to adapt quickly to changing market conditions, regulatory requirements and evolving business models.

Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.