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.
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Pipefy
Pipefy is a low-code Business Orchestration and Automation Technologies (BOAT) platform designed to act as a modern middleware layer for the enterprise stack.
Rather than replacing existing Systems of Record (SORs) like SAP, Oracle, or Salesforce, Pipefy wraps them in an agile orchestration layer. This architecture allows technical teams to modernize legacy operations and extend the life of core systems without the risks associated with "rip and replace" projects. Pipefy provides the infrastructure to sanitize data inputs, manage complex business logic, and orchestrate API calls between fragmented endpoints.
Technical & Architectural Highlights:
• Adaptive Governance Framework: Pipefy solves the "Shadow IT" problem by establishing IT-sanctioned "Safe Zones." Business users can build workflows within these guardrails, while IT retains control over critical data, integrations, and permissions via a centralized console.
• Agentic AI Engine (BYOLLM): The platform features a governable AI Agent Studio. Unlike "black box" solutions, Pipefy supports a Bring Your Own LLM approach, allowing enterprises to integrate preferred models (Azure OpenAI, AWS Bedrock) securely to automate document analysis (OCR) and decision-making.
• Robust Connectivity: Built with an API-first philosophy, Pipefy offers a GraphQL API, Webhooks, and enterprise-grade iPaaS capabilities to ensure seamless data interoperability across the stack.
• Security & Compliance: Engineered for regulated industries, the platform is ISO 27001, ISO 27701, and SOC2 Type II certified, supporting compliance with GDPR and SOX standards.
Pipefy empowers IT leaders to eliminate technical debt and clear development backlogs by safely delegating low-complexity builds to business units.
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Sōkosumi
Sōkosumi serves as an innovative AI agent economy platform that enables you to effortlessly hire and oversee specialized AI teammates with just a few clicks. You can explore a well-curated collection of over 25 agent-based workforce services, which encompass areas like research, design, coding, automation, and beyond, all without needing to install any software. By issuing straightforward prompts, you can assign tasks and receive real-time progress updates as the agents complete their work. Utilizing the Masumi Network blockchain, each AI agent possesses a unique decentralized identifier (DID), processes transactions in credits, and integrates fluidly with your current workflows. Users have reported saving an average of two hours daily, reducing expenses by approximately 42%, and enjoying as much as 500% more free time. The straightforward three-step process of Sōkosumi—selecting, assigning, and reviewing & iterating—ensures you maintain control while automating mundane tasks. Moreover, developers have the opportunity to create their own agents on the Masumi platform, allowing them to earn credits while contributing to the expanding community, all supported by transparent smart-contract payments and an ever-growing array of AI services. This unique approach not only enhances productivity but also fosters collaboration within the AI landscape, driving innovation and efficiency.
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Virtuals Protocol
Virtuals Protocol is an innovative decentralized platform that empowers users to create, jointly own, and engage with AI agents. These agents fall into two main categories: IP agents, which embody specific intellectual properties, and functional agents, tailored for designated tasks. The platform features an Initial Agent Offering (IAO) mechanism, which facilitates co-ownership and governance of these agents via agent SubDAOs. Users are encouraged to take part in multiple facets of agent development, such as cognitive, voice, and visual aspects, promoting a collaborative and modular framework. The protocol prioritizes permissionless access, allowing for the effortless integration of virtual agents into a wide range of applications. Developers are equipped with thorough documentation, encompassing instructions on launching agent tokens, contributing to various foundational elements, and mastering the GAME framework. By fostering a decentralized approach to contribution and co-ownership, the protocol aims to create a sustainable revenue-generating ecosystem, ultimately benefiting all involved stakeholders. This ecosystem stands to enhance the utility and accessibility of AI technology for everyday users.
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