Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
Learn more
Knak
Knak is the enterprise-grade, no-code solution that transforms how marketing teams build emails and landing pages — without relying on developers or agencies.
With a robust modular design system, real-time collaboration, and native integrations with platforms like Marketo, SFMC, and Eloqua, Knak eliminates production bottlenecks while preserving brand governance. Empower your team to deliver high-performance assets quickly, securely, and at scale — no code required. Trusted by global brands to streamline campaign execution and accelerate time-to-market.
Learn more
Basalt
Basalt is a cutting-edge platform designed to empower teams in the swift development, testing, and launch of enhanced AI features. Utilizing Basalt’s no-code playground, users can rapidly prototype with guided prompts and structured sections. The platform facilitates efficient iteration by enabling users to save and alternate between various versions and models, benefiting from multi-model compatibility and comprehensive versioning. Users can refine their prompts through suggestions from the co-pilot feature. Furthermore, Basalt allows for robust evaluation and iteration, whether through testing with real-world scenarios, uploading existing datasets, or allowing the platform to generate new data. You can execute your prompts at scale across numerous test cases, building trust with evaluators and engaging in expert review sessions to ensure quality. The seamless deployment process through the Basalt SDK simplifies the integration of prompts into your existing codebase. Additionally, users can monitor performance by capturing logs and tracking usage in live environments while optimizing their AI solutions by remaining updated on emerging errors and edge cases that may arise. This comprehensive approach not only streamlines the development process but also enhances the overall effectiveness of AI feature implementation.
Learn more
Voiceflow
Teams leverage Voiceflow to collaboratively design, test, and deploy conversational assistants more efficiently and at scale. With the platform, users can develop chat and voice interfaces for any digital product or conversational assistant seamlessly. It integrates various disciplines such as conversation design, product development, copywriting, and legal considerations into one cohesive process. Users can design, prototype, test, iterate, launch, and measure all within a single platform, eliminating functional silos and content disarray. Voiceflow empowers teams to operate within an interactive workspace that unifies all assistant-related data, including conversation flows, intents, utterances, response content, API calls, and additional elements. The platform's one-click prototyping feature helps avoid delays and extensive development efforts, allowing designers to create shareable, high-fidelity prototypes in just minutes to refine the user experience effectively. As the preferred choice for enhancing the speed and scalability of app delivery, Voiceflow also accelerates workflows with features such as drag-and-drop design, rapid prototyping, real-time feedback, and pre-built code, further streamlining the development process for teams. By harnessing these powerful tools, teams can significantly improve their collaborative efforts and optimize the overall quality of their conversational projects.
Learn more