D&B Credit Insights is a comprehensive credit monitoring solution tailored for small business owners who want full visibility and control over their business credit profile. It offers unlimited access to your Dun & Bradstreet credit file, including essential scores like PAYDEX®, Delinquency, Failure Score, and Supplier Evaluation Risk. Real-time alerts notify you instantly of any changes or legal events such as lawsuits, liens, or judgments that might impact your credit. The platform also enables you to benchmark your credit performance against competitors to set achievable goals and improve your financial health. Additional features include detailed payment history, financial statement comparisons, and integration with your business bank account for seamless updates. The higher-tier plans provide dark web monitoring and allow you to compare your credit alongside other companies. D&B Credit Insights helps you proactively manage your credit profile and make smarter business decisions. With a clear view of your credit data, you can boost trust with lenders, investors, and suppliers.
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Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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TruLens
TruLens is a versatile open-source Python library aimed at the systematic evaluation and monitoring of Large Language Model (LLM) applications. It features detailed instrumentation, feedback mechanisms, and an intuitive interface that allows developers to compare and refine various versions of their applications, thereby promoting swift enhancements in LLM-driven projects. The library includes programmatic tools that evaluate the quality of inputs, outputs, and intermediate results, enabling efficient and scalable assessments. With its precise, stack-agnostic instrumentation and thorough evaluations, TruLens assists in pinpointing failure modes while fostering systematic improvements in applications. Developers benefit from an accessible interface that aids in comparing different application versions, supporting informed decision-making and optimization strategies. TruLens caters to a wide range of applications, including but not limited to question-answering, summarization, retrieval-augmented generation, and agent-based systems, making it a valuable asset for diverse development needs. As developers leverage TruLens, they can expect to achieve more reliable and effective LLM applications.
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Orbit Eval
Orbit Eval is part the Orbit Software Suite. It is an analytical job evaluation tool. Job evaluation is a systematic and consistent process of determining the relative size or rank of jobs within an organization by applying a consistent set criteria to job roles.
Analytical schemes provide a higher level of objectivity and rigour. They allow for a systematic approach to be used, providing a reason as to why jobs have been ranked differently. The consistency and minimization of gender biases is achieved by using the same method throughout the evaluation.
Orbit Eval is simple to use, transparent and guarantees consistency. The tool is easy to use and requires little training. It is available in the following formats: It is stored in the cloud with access permissions.
You can also upload your current paper-based scheme to the Orbit Eval(c), which allows you to store various systems such as NJC, GLPC, and others.
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