Gemini Enterprise Agent Platform
Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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StackAI
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering.
With StackAI you can:
• Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls
• Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow
• Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls
• Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing
• Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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Zibble
Zibble is an AI decision simulation platform that helps teams validate ideas before they launch by using advanced AI personas and Signal Groups to simulate real customers and deliver decision-ready insights in real time. Users can upload a product concept, name, brief, pack shot, or positioning statement at whatever stage they are in, then build personas and Signal Groups around the buyer profiles that matter most for the category, such as loyalists, switchers, skeptics, and competitive buyers. It uses scientifically engineered AI Personas built from 150+ behavioral, psychographic, demographic, and qualitative data points, creating high-fidelity personas with consistent behavioral logic and reproducible, data-driven insight. Teams can use Zibble to pressure-test product ideas, messaging, pricing, campaign directions, positioning, and strategic pivots before committing budget or launch resources.
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