Portia AI is an open-source developer framework that enables teams to build safe, reliable, and controllable AI agents with built-in authentication and human oversight capabilities for regulated environments.
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Portia AI

Product Information

Updated:Jul 4, 2025

Portia AI Monthly Traffic Trends

Portia AI received 6.3k visits last month, demonstrating a Significant Decline of -26.4%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic

What is Portia AI

Portia AI is a London-based startup founded by Emma Burrows and Mounir Mouawad that provides an open-source SDK and cloud platform for building production-ready AI agents. The company emerged from stealth in March 2025 and secured €5.1 million in funding led by General Catalyst. At its core, Portia AI focuses on helping developers create AI agents that are predictable, controllable, and secure - particularly important for industries where compliance and regulation are critical. The platform combines intelligence and autonomy with robust security features through its SDK that works with various LLM providers including OpenAI, Anthropic, Mistral, and Google.

Key Features of Portia AI

Portia AI is an open-source developer framework and cloud platform that enables teams to build safe, reliable AI agents in regulated environments. It provides tools for creating predictable and controllable AI agents with features like plan sharing, human oversight, authentication support, and comprehensive audit trails. The platform supports multiple LLM providers, offers pre-configured tool integrations, and balances AI autonomy with human control through its 'spectrum of autonomy' approach.
Predictable Planning System: Agents create and share explicit plans before execution, allowing developers to review and control AI behavior before any actions are taken
Built-in Authentication Framework: Includes just-in-time authentication with token refresh for secure tool access, supporting integrations with popular SaaS providers like Google, Slack, and GitHub
Human-AI Interface Controls: Provides clarification mechanisms to pause agent execution and request human input or authorization when needed
Comprehensive Monitoring: Offers full audit trails and monitoring capabilities to track agent progress and maintain explainability in production environments

Use Cases of Portia AI

Financial Services Compliance: Automating KYC (Know Your Customer) processes while maintaining regulatory compliance and audit trails
Customer Service Automation: Handling refund requests and customer inquiries with controlled AI agents that can pause for human approval when needed
Data Collection and Analysis: Automated gathering and processing of information across multiple tools while maintaining security and compliance requirements

Pros

Open-source core with optional cloud features
Strong focus on security and compliance
Extensive tool integration support through MCP

Cons

Requires Python 3.11 or above
Complex setup for enterprise deployments
Limited to supported LLM providers

How to Use Portia AI

Install Portia SDK: Install the Portia Python SDK using pip: pip install portia-sdk-python. For browser tools, install with: pip install 'portia-sdk-python[tools-browser-browserbase]'
Get API Keys: Sign up at app.portialabs.ai to get your Portia API key. You'll also need API keys for other services you plan to use (e.g., OpenAI, Tavily)
Set Up Environment: Create a .env file and set required environment variables like PORTIA_API_KEY, OPENAI_API_KEY, etc. Use load_dotenv() to load these variables
Create Basic Configuration: Initialize Portia with basic configuration by importing and setting up the Config class with desired LLM settings and storage options
Set Up Tool Registry: Choose and configure the tools you want to use from Portia's tool registry or create custom tools. Import example_tool_registry or create your own
Initialize Portia Instance: Create a Portia instance with your config and tool registry: portia = Portia(config=config, tools=tool_registry)
Generate a Plan: Use portia.plan() to generate a structured plan from a user query. This creates steps for the AI agent to follow
Execute the Plan: Use portia.run() to execute the generated plan. The agent will follow the steps and handle authentication/clarifications as needed
Handle Authentication: When tools require authentication, Portia will raise an ActionClarification. Provide OAuth links to users for authorization
Monitor Execution: Track plan execution through the Portia dashboard at app.portialabs.ai. Review logs, outputs, and audit trails

Portia AI FAQs

Portia AI is an open source developer framework that enables teams to build safe, reliable AI agents in regulated environments. It allows developers to deploy agents that are transparent, steerable and authenticated.

Analytics of Portia AI Website

Portia AI Traffic & Rankings
6.3K
Monthly Visits
#2787659
Global Rank
-
Category Rank
Traffic Trends: Mar 2025-May 2025
Portia AI User Insights
00:00:57
Avg. Visit Duration
1.87
Pages Per Visit
52.64%
User Bounce Rate
Top Regions of Portia AI
  1. US: 42.84%

  2. GB: 36.71%

  3. FR: 10.68%

  4. IN: 6.94%

  5. DE: 1.69%

  6. Others: 1.14%

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