Best Cloud Platform as a Service (PaaS) Software - Page 15

Flaq AI

Flaq AI gives developers and product teams a single interface for accessing a broad catalog of image, video, music, and language models. It also provides browser-based AI tools for prototyping, editing, and creative exploration.

FlexAI

FlexAI Inference is a dynamic AI inference platform designed to handle both real-time and batch processing tasks across various model types, including large language models (LLMs), vision models, natural language processing (NLP) applications, and retrieval-augmented generation (RAG) systems. It offers seamless deployment options across cloud, on-premises, or hybrid environments, ensuring optimal performance and cost efficiency.

FMEPM Connect for Oracle EPM

I connect Claude to your own Oracle Cloud EPM pod and help the people who run EPM check jobs, run rules, load data and read metadata or a slice of numbers. Start with your company Microsoft sign-in and say "use the demo environment". Try sample data without an Oracle account. Connect your pod with Oracle SSO, the recommended route, or with credentials where the pod has no single sign-on. Each person connects as themselves, so Oracle applies their own roles. I encrypt credentials on my server; they never reach Claude. Every call passes a policy check and is logged. Risky writes ask for confirmation first, with a preview of what will change. On a production pod that is every write. The activity log holds no cell values. I can also prepare Smart View workbooks, Power BI feeds and scheduled reports. The hosted edition is live today, in beta. Try it free for thirty days on your own test environment. Email sales@fmepm.com to start. Built by Fred Mamadjanov, Oracle ACE Pro. Oracle and Oracle EPM are trademarks of Oracle Corporation. FMEPM is not affiliated with Oracle.

ForePaaS

Creating and deploying scalable AI projects is a huge challenge - requiring specialized skills and collaboration. The journey to get you there painlessly is our mission. The ForePaaS Platform shortens the time-to-value and simplifies the process of creating and deploying complex AI applications on any cloud. It is the only cloud-native and collaborative AI orchestration platform used to easily create, deploy and scale AI applications, quickly and economically.

Fybe

IT Service Build, deploy and run your cloud instances anywhere in seconds

Average Rating: 5.0/5.0

Total Reviews: 1

GestAI

GestAI is an AI-enabled practice management platform for psychologists and psychotherapists, developed by 4Mee S.r.l. It brings clinical documentation, AI assistance and practice administration together in one cloud environment. The platform supports patient records, session notes and documents, informed-consent workflows, appointments, invoicing and payments. With the appropriate patient consent, professionals can record sessions or upload session material and use AI-assisted transcription, draft notes, summaries and analysis to organise information for their review. Its contextual AI assistant helps professionals consult authorised session notes, patient documentation and practice information. It can support preparation of content and management actions within the available permissions and confirmation workflow. GestAI is designed to reduce fragmentation between clinical and administrative tools while keeping the professional in control. AI-generated content must be reviewed by the clinician; it does not provide autonomous diagnoses or replace clinical judgement or the therapeutic relationship. The platform is browser-based, with an initial focus on the Italian professional market. Further product information is available at https://www.gestai.it.

Ghaymah Cloud

Ghaymah Cloud is a cloud infrastructure platform that simplifies application deployment and infrastructure management. It supports transitions from code to production using Git repository uploads and Docker containers. Managed PostgreSQL databases offer automatic backups, encrypted connections, and scaling capabilities. The platform includes an application marketplace with pre-configured solutions like WordPress and Supabase for single-click installation. Storage options feature high-performance block storage and S3-compatible object storage. AI and machine learning tools enable pre-trained models, vector storage, and text embedding. Container management provides a registry, CI/CD automation, and developer tools such as a CLI, API integrations, and tunneling. Additional features include automatic SSL provisioning, daily backups, DNS routing, and domain management. Infrastructure monitoring tracks system performance, while documentation and tutorials support implementation and use.

Gitoryx

Gitoryx is a native desktop Git client for macOS, Windows and Linux. It shows your repository as a colour-coded commit graph and turns the operations people usually drop to the terminal for (interactive rebase, bisect, stash, line-level staging, merge conflicts) into visual workflows with undo at every step. Built natively rather than on Electron, it stays responsive on large repositories and works on the repos you already have. The Free plan is a complete client for public and open-source repositories and needs no account; Pro adds unlimited private history, unlimited identity profiles, advanced graph view and GitHub Enterprise/self-managed GitLab.

GoodsTag

GoodsTag, a brand of todo GmbH based in Berlin, is a Smart Products Platform-as-a-Service (PaaS) that connects physical products to their digital twins and contextual digital services. The platform empowers manufacturers, retailers, and brands to create and manage Digital Product Passports (DPPs), ensuring regulatory compliance and supporting circular economy initiatives. What Sets GoodsTag Apart? GoodsTag uniquely integrates Smart Serialization, Digital Twin technology, and GS1 Digital Link standards to create seamless and scalable solutions. By automating workflows and enabling circular economy initiatives, GoodsTag simplifies product lifecycle management and regulatory compliance. Learn more about GoodsTag: https://goodstag.com Follow us on LinkedIn: https://www.linkedin.com/company/goodstag

Google Cloud

Google Cloud AI Infrastructure

Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized compute options, including GPUs, TPUs, and CPUs, to accommodate various AI workloads from high-performance training to low-cost inference. - Managed Infrastructure Services: Utilizes Vertex AI and GKE to streamline the setup of machine learning environments, automate orchestration, manage large clusters, and deploy low-latency applications efficiently. - Support for Popular AI Frameworks: Offers compatibility with leading AI frameworks such as TensorFlow, PyTorch, and MXNet, allowing developers to work within their preferred environments without constraints. - Global Scalability: Built upon Google Cloud's Jupiter data center network, it delivers the global scale and performance required for high-intensity AI workloads, supporting services that cater to billions of users. Primary Value and Problem Solved: Google Cloud AI Infrastructure addresses the challenges of developing and deploying AI models by providing a robust, scalable, and cost-effective platform. It simplifies the orchestration of large-scale AI workloads, enhances development productivity, and ensures optimal performance and cost efficiency. By offering a flexible and open platform with support for various AI frameworks and hardware accelerators, it empowers organizations to innovate and scale their AI solutions effectively.

Average Rating: 4.5/5.0

Total Reviews: 45

Google Cloud TPU

Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

Average Rating: 4.5/5.0

Total Reviews: 33

Google Distributed Cloud Hosted

Google Distributed Cloud Hosted (GDC Hosted is a fully managed, air-gapped cloud solution designed for organizations with stringent data sovereignty, security, and privacy requirements. It enables the deployment, operation, and scaling of cloud services within a completely isolated environment, without the need for connectivity to Google Cloud or the public internet. This ensures that sensitive data remains secure and compliant with regulatory standards. Key Features and Functionality: - Full Isolation: GDC Hosted operates in an air-gapped environment, eliminating the need for external connectivity to manage infrastructure, services, APIs, or tooling. This design supports strict compliance with standards such as NIST SP 800-53-FedRAMP High security controls. - Integrated Cloud Services: The platform delivers advanced Google Cloud services, including data analytics and machine learning technologies. Users can leverage built-in AI solutions like Translation API, Speech-to-Text, and optical character recognition (OCR within the isolated environment. - Open Ecosystem: Built on the Kubernetes API and utilizing leading open-source components, GDC Hosted promotes an open cloud strategy. This approach accelerates developer adoption by leveraging existing expertise and tools, avoiding the need to learn new proprietary systems. - Flexible Hardware Options: GDC Hosted offers flexibility in hardware configurations, including general-purpose compute and GPUs. Organizations can start with as few as four racks and scale up to hundreds as their workloads grow, ensuring a fully redundant, high-availability architecture for mission-critical systems. - Configurable Operations: The operating model of GDC Hosted can be tailored to meet each organization's unique specifications and regulatory requirements. It can be operated by Google, a trusted partner, or a combination of both, with customizable elements like operator citizenship and clearance requirements. Primary Value and Problem Solved: GDC Hosted addresses the critical need for organizations to modernize their IT infrastructure while maintaining complete control over sensitive data. By providing a fully isolated, air-gapped cloud environment, it ensures compliance with stringent regulatory and security requirements, making it ideal for sectors such as government, financial services, healthcare, and utilities. Organizations can leverage advanced cloud services and AI capabilities without compromising data sovereignty or security, enabling innovation and operational efficiency within a secure and compliant framework.

GPUniq

GPUniq is a unified cloud platform that lets developers, ML engineers, and AI startups rent GPUs and access top LLM APIs from a single account and a single balance.

Grapheus

Grapheus by Exetazo is an AI medical scribe built by a practicing physician. It listens to the clinician-patient conversation, in person or by telehealth, and drafts a complete, structured note in minutes. It also suggests billing codes (E/M, CPT and ICD-10) that fit the clinician's role and what was discussed. Clinicians review and sign every note. Grapheus runs on AWS Bedrock under an AWS Business Associate Agreement. For OpenEMR practices, a free open-source Grapheus module drafts the note, problems, allergies, prescriptions and an unbilled fee sheet in the chart. Pilot: up to two clinicians for 30 days, then paid.