Spring.new vs. CreateOS

Google AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini 3.5, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.

Retool is an AI-driven platform that helps teams design, build, and deploy internal software from a single unified workspace. It allows users to start with a natural language prompt and turn it into production-ready applications, agents, and workflows. Retool connects to nearly any data source, including SQL databases, APIs, and AI models, creating a real-time operational layer on top of existing systems. The platform supports AI agents, LLM-powered workflows, dashboards, and operational tools across teams. Visual app building tools allow users to drag and drop components while seeing structure and logic in real time. Developers can fully customize behavior using code within Retool’s built-in IDE. AI assistance helps generate queries, UI elements, and logic while remaining editable and schema-aware. Retool integrates with CI/CD pipelines, version control, and debugging tools for professional software delivery. Enterprise-grade security, permissions, and hosting options ensure compliance and scalability. The platform supports data, operations, engineering, and support teams alike. Trusted by startups and Fortune 500 companies, Retool significantly reduces development time and manual effort. Overall, it enables organizations to build smarter, AI-native internal software without unnecessary complexity.

Devin Desktop is an AI-powered integrated development environment that enables developers to manage fleets of coding agents while maintaining complete control over the software development lifecycle. Built as the evolution of Windsurf, the platform combines advanced AI agents, a fully featured IDE, and collaborative workflow management into a single development experience. Developers can assign coding tasks to local or cloud-based agents, allowing autonomous execution of research, implementation, testing, debugging, optimization, and documentation activities. The platform's Agent Command Center provides centralized visibility into ongoing agent work, making it easier to coordinate multiple development efforts simultaneously. Features such as Spaces enable shared context and Git worktrees across agents, while Fast Context rapidly surfaces relevant code, files, and dependencies to accelerate development. Devin Desktop includes Supercomplete, which predicts developer intent beyond simple code completion, helping users work faster and remain focused. The platform supports multiple AI models and agent frameworks through the Agent Client Protocol, providing flexibility across different coding workflows and use cases. Extensive integrations with development, collaboration, monitoring, and project management tools allow organizations to connect AI-assisted development with their existing technology stack. Built-in code review, debugging, and traceability features ensure developers can inspect, validate, and refine every AI-generated change before deployment. The platform is designed for organizations that want to scale AI-assisted software engineering while maintaining visibility, governance, and code quality standards. Devin Desktop helps developers and engineering teams accelerate software delivery by combining autonomous AI execution with professional development tools and human oversight.

Glean is a comprehensive enterprise AI and workplace intelligence platform that enables organizations to connect, understand, and act on knowledge distributed across their technology ecosystem. The platform integrates with enterprise applications, collaboration tools, document repositories, customer systems, and business software to create a unified layer of organizational context. Through AI-powered enterprise search, assistants, deep research capabilities, content generation tools, and autonomous agents, Glean helps employees find answers, complete tasks, and make decisions faster. Its System of Context technology combines company knowledge, business processes, conversations, meetings, and permissions to deliver highly relevant and trustworthy responses. Glean includes AI agent orchestration, agent development tools, workflow automation, and an extensive library of connectors that allow organizations to automate complex business processes. The platform supports multiple large language models through a centralized Model Hub, providing flexibility while optimizing performance and cost. Security and governance are built into the platform with permission-aware access controls, comprehensive observability, compliance support, and enterprise-grade data protection. Organizations can use Glean to improve productivity, accelerate onboarding, reduce support workloads, and enable AI-driven workflows across the enterprise. The platform serves a wide variety of functions, including enterprise search, knowledge management, content creation, research, workflow automation, and AI-powered decision support. Glean is trusted by global enterprises to scale AI adoption while maintaining governance and operational control. By transforming scattered information into actionable intelligence, Glean helps organizations work smarter, move faster, and realize greater value from their enterprise data.

Viktor is a fully autonomous AI coworker designed to operate directly inside your Slack or Microsoft Teams workspace and execute real work across your organization. Rather than functioning as a simple chatbot, Viktor runs on its own cloud-based computer where it writes code, deploys applications, and performs complex multi-step tasks. It connects to more than 3,000 integrations through native APIs and browser automation, enabling it to manage advertising campaigns, analyze product metrics, update documents, and create tickets across tools like Linear and PostHog. Viktor proactively monitors systems and identifies anomalies, proposing concrete actions instead of merely sending alerts. It can run continuously for weeks while retaining context about team goals, project timelines, and previous decisions. Within Slack threads, team members can request data summaries, backend updates, marketing optimizations, or workflow automation and receive structured, actionable responses. Before executing changes, Viktor presents pending actions for approval, maintaining transparency and control. The platform supports scheduled tasks such as automated reports, audits, and recurring check-ins. Its persistent workspace context ensures continuity even as projects evolve over time. Available in Starter, Team, and Enterprise tiers, Viktor adapts to both small teams and large organizations. Built by experienced engineers and backed by leading investors, it positions itself as a productivity multiplier rather than a simple assistant. By embedding autonomous execution directly into Slack, Viktor transforms everyday collaboration into a coordinated, AI-powered operating system for modern teams.

Dialpad Support is an innovative AI-powered contact center solution designed to provide agents with instant access to resources that exceed customer expectations. Through the implementation of self-service virtual agents and AI chatbots, it effectively manages routine queries, resulting in reduced resolution times and enabling human agents to focus on more complex issues. The platform features live coaching supported by AI-driven scorecards and actionable insights, which aid managers in evaluating agent performance, delivering real-time support during calls, and optimizing workflows. Additionally, integrated Contact Center AI assesses both voice and chat sentiment to pinpoint areas that may cause friction, while intuitive dashboards and real-time analytics track crucial metrics such as average handling time, customer satisfaction ratings, and forecasting accuracy. Moreover, its seamless integrations with platforms like Salesforce, Zendesk, Microsoft Teams, Google Workspace, and HubSpot unify customer interaction histories and data. With a resilient dual-cloud infrastructure, it guarantees enterprise-level stability, offering a 100% uptime service level agreement and robust disaster recovery solutions to ensure continuous service for users. In conclusion, Dialpad Support not only boosts operational efficiency but also nurtures deeper connections between agents and their customers, ultimately enhancing the overall customer experience.

BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.

Google Workspace is Google’s cloud-based productivity and collaboration suite designed to help businesses, teams, and organizations communicate, collaborate, manage data, and automate workflows through integrated applications and AI-powered tools. The platform combines premium business versions of Gmail, Google Drive, Google Meet, Calendar, Docs, Sheets, Slides, Chat, Keep, Forms, Sites, Tasks, NotebookLM, AppSheet, and Gemini AI into a unified cloud ecosystem optimized for modern workplaces. Google Workspace enables organizations to manage professional email communication, real-time document collaboration, cloud storage, video conferencing, project coordination, and business productivity from any device while maintaining centralized administration and security controls. The platform’s built-in Gemini AI capabilities provide intelligent assistance across applications, helping users draft emails, summarize meetings, generate reports, create content, analyze data, brainstorm ideas, and automate workflows using contextual information from business operations. Google Workspace also includes advanced collaboration tools such as appointment scheduling, eSignature support, AI-generated meeting notes, mail merge functionality, shared cloud storage, and real-time co-authoring for teams working across distributed environments. Security and compliance are major components of the platform, with enterprise-grade features including AI-powered data classification, endpoint management, secure access controls, S/MIME encryption, Data Loss Prevention, eDiscovery, Vault archiving, compliance management, and AI-driven threat protection. Businesses can choose from multiple subscription plans that scale from small startups to large enterprises, with options for expanded storage, advanced security controls, large video meetings, and enterprise-grade administration features.

At HERE, we’ve been solely focused on building the world’s first and only enterprise browser purpose-built to solve both security and productivity. HERE technology is trusted by 90% of the world’s largest financial institutions and backed by In-Q-Tel, the strategic investment firm that works with the U.S. intelligence community and other government agencies. HERE is redefining how global enterprises secure their work and empower their workforce. Built on Chromium, HERE seamlessly integrates into enterprise environments while delivering controls, context, and confidence where consumer browsers fall short.

Effective software testing requires centralized management and visibility from the initial concept to the final production phase to enhance both the speed and security of software releases. Tricentis qTest empowers teams to collaborate more efficiently and accelerate delivery while minimizing risks by integrating, overseeing, and scaling testing efforts across the organization. Comprehensive testing encompasses a wide array of tools, teams, test types, and methodologies. By unifying these aspects, Tricentis qTest allows teams to release software with greater assurance and lower risk. Furthermore, it assists in pinpointing collective opportunities for speeding up processes. Teams can automate additional testing, boost release velocity, and enhance collaboration throughout the software development lifecycle. With seamless integrations into DevOps tools like Jira, Jenkins, and GitHub, quality assurance and development teams can remain aligned and coordinated. Additionally, maintaining a thorough audit trail enables tracing of defects and tests back to their development and requirements, ensuring clarity and accountability. Cross-project reporting facilitates alignment among teams, fostering a more cohesive approach to software development and delivery.