Apify
Apify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents.
Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers.
Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more.
Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance.
For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.
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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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HumanLayer
HumanLayer provides an API and SDK that allows AI agents to engage with humans for feedback, input, and approvals. It ensures that critical function calls are monitored by human oversight through approval workflows that operate across platforms like Slack and email. By seamlessly integrating with your favorite Large Language Model (LLM) and various frameworks, HumanLayer equips AI agents with secure access to external information. The platform is compatible with numerous frameworks and LLMs, such as LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. Key features include structured approval workflows, integration of human input as a tool, and tailored responses that can escalate as needed. It enables the pre-filling of response prompts for more fluid interactions between humans and agents. Additionally, users can direct requests to specific individuals or teams and manage which users have the authority to approve or reply to LLM inquiries. By allowing the flow of control to shift from human-initiated to agent-initiated, HumanLayer enhances the versatility of AI interactions. Furthermore, the platform allows for the incorporation of multiple human communication channels into your agent's toolkit, thereby expanding the range of user engagement options.
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Runbear
Runbear empowers teams to rapidly build AI-powered agents without any coding, seamlessly integrating them into widely used communication platforms such as Slack, Teams, Discord, and HubSpot. The platform enables users to deploy specialized AI assistants connected to models like OpenAI, Claude, and Gemini, enhanced by integrations with knowledge sources including Google Drive, Notion, and Confluence to keep content updated automatically. Runbear’s flexible multi-agent management lets organizations customize AI experiences for different teams, improving productivity and collaboration across departments. Key features include automating meeting prep, generating PRDs from Slack threads, querying databases with natural language, and triggering workflow automation through Zapier—all directly from chat environments. The product is designed to simplify complex workflows by reducing repetitive tasks and providing instant, context-aware AI responses to common questions. Companies across various industries praise Runbear for its intuitive interface, seamless setup, and transformative impact on team communication and efficiency. Additionally, Runbear supports compliance with enterprise-grade security standards such as SOC2. This makes it a reliable choice for businesses looking to incorporate AI assistants while maintaining data integrity and privacy.
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