
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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StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering.
With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information.
AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps.
Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production.
StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy.
A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator.
By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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kgateway
kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.
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Skymel
Skymel is an innovative cloud-native platform for AI orchestration that centers around its real-time Orchestrator Agent (OA) and the accompanying AI assistant, ARIA. The Orchestrator Agent facilitates the creation of both fully automated runtime agents and dynamic agents managed by developers, which can easily integrate with any device, cloud service, or neural network framework. Utilizing NeuroSplit’s advanced distributed-compute technology, it enhances inference efficiency by intelligently directing each request to the most suitable model and execution environment—whether that be on-device, in the cloud, or a hybrid setup—all while standardizing error handling and significantly lowering API costs by 40–95%, thus boosting overall performance. Built on the foundation of OA, Skymel ARIA provides a cohesive and synthesized response to any inquiry by coordinating real-time access to AI models like ChatGPT, Claude, and Gemini, effectively eliminating the need for cumbersome manual prompt chains and the hassle of managing multiple subscriptions. This seamless integration and orchestration of AI tools not only streamlines workflows but also empowers users with a more efficient and user-friendly experience.
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