4.3 out of 5 stars
(1178 Ratings)
Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows.
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4.5 out of 5 stars
(55 Ratings)
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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Human Browser
Human Browser is a cloud browser built for AI agents, giving them eyes and hands on the open web through real Chrome sessions. Any agent that can speak HTTP can use it through A2A, while MCP support connects editor-based agents and a CLI supports terminal and CI workflows. Agents can receive a natural-language goal, browse sites, click, type, scroll, log in, fill forms, scrape data, and return structured results together with a live viewer URL so humans can watch the session in real time. The browser uses residential IPs, engine-level Chromium fingerprinting, human-like mouse movement, typing, and natural scrolling, with built-in handling for challenges such as reCAPTCHA, hCaptcha, and Cloudflare Turnstile. It supports desktop and mobile browser profiles, country selection across a large residential proxy network, and can run on bare Linux, Docker, GitHub Actions, and other CI/CD environments without a display server, VNC, or desktop.
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