Gemini Enterprise Agent Platform
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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Emtrain
Our online training (via our LXP or xAPI to your LMS) provides online training employees actually appreciate plus skills assessments and risk benchmarking.
Compliance courses for Preventing Workplace Harassment, Cybersecurity, Global Data Privacy, AI Governance, and more. Content is written by lawyers with decades of expertise preventing workplace harassment & motivating business compliance. Our flagship anti-harassment courses meet all relevant laws (CA, NY, IL, UK, AUS, CAN, IND, MEX, etc.) Emtrain courses include binge-worthy workplace video, interactive scenarios, skill building techniques, reflection questions, completion certificates, and litigation-ready reports.
100+ microlessons for continued learning OR to remediate disrespectful or non-compliant behaviors.
Clients include Cisco, Degreed, Genentech, Glassdoor, Google, Instacart, NPR, Whirlpool.
Partners: Workday Cloud Connect; Udemy Business; Ninjio
Don't just check the compliance box. Your co-workers deserve more!
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Eyewey
Develop your own models, access a variety of pre-trained computer vision frameworks and application templates, and discover how to build AI applications or tackle business challenges using computer vision in just a few hours. Begin by creating a dataset for object detection by uploading images relevant to your training needs, with the capability to include as many as 5,000 images in each dataset. Once you have uploaded the images, they will automatically enter the training process, and you will receive a notification upon the completion of the model training. After this, you can easily download your model for detection purposes. Furthermore, you have the option to integrate your model with our existing application templates, facilitating swift coding solutions. Additionally, our mobile application, compatible with both Android and iOS platforms, harnesses the capabilities of computer vision to assist individuals who are completely blind in navigating daily challenges. This app can alert users to dangerous objects or signs, identify everyday items, recognize text and currency, and interpret basic situations through advanced deep learning techniques, significantly enhancing the quality of life for its users. The integration of such technology not only fosters independence but also empowers those with visual impairments to engage more fully with the world around them.
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Florence-2
Florence-2-large is a cutting-edge vision foundation model created by Microsoft, designed to tackle an extensive range of vision and vision-language challenges such as caption generation, object recognition, segmentation, and optical character recognition (OCR). Utilizing a sequence-to-sequence framework, it leverages the FLD-5B dataset, which comprises over 5 billion annotations and 126 million images, to effectively engage in multi-task learning. This model demonstrates remarkable proficiency in both zero-shot and fine-tuning scenarios, delivering exceptional outcomes with minimal training required. In addition to detailed captioning and object detection, it specializes in dense region captioning and can interpret images alongside text prompts to produce pertinent answers. Its versatility allows it to manage an array of vision-related tasks through prompt-driven methods, positioning it as a formidable asset in the realm of AI-enhanced visual applications. Moreover, users can access the model on Hugging Face, where pre-trained weights are provided, facilitating a swift initiation into image processing and the execution of various tasks. This accessibility ensures that both novices and experts can harness its capabilities to enhance their projects efficiently.
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