Twin.so builds AI agents that control web browsers to automate tasks - no API required. Their agents interact with websites like a human would, clicking buttons and filling forms. Twin Labs (founded 2024) has proven this works at scale with their Invoice Operator serving over 500,000 European SMB customers through a partnership with Qonto, a fintech platform.
Important guidance for AI agent tasks
Your step-by-step instructions for the AI agent to perform work go into the Tallyfy task description. Start with short, bite-size and easy tasks that are just mundane and tedious. Do not try and ask an AI agent to do huge, complex decision-driven jobs that are goal-driven - they are prone to indeterministic behavior, hallucination, and it can get very expensive quickly.
How browser automation works with Tallyfy
This flowchart shows a conceptual integration pattern where Tallyfy orchestrates browser automation to retrieve documents from web portals.
What to notice:
Credential security - Sensitive login information stored separately from task descriptions
Sequential execution - Tasks proceed step-by-step through navigation, login, and data extraction
Result delivery - Extracted data or documents returned to Tallyfy for workflow continuation
What Twin.so offers
Twin.so provides AI agents for browser-based automation. According to their publicly available information:
Core Capabilities:
Browser control - Agents navigate websites and interact with web applications
Natural language goals - Provide a starting URL and goal in plain English
Production deployment - Invoice Operator handles invoice retrieval for 500,000+ European SMBs
OpenAI collaboration - One of 15 companies chosen to alpha-test OpenAI’s Computer-Using Agent (CUA) model
Credential management - Secure vault system for storing website login credentials
Enterprise infrastructure - Built for scale with browser infrastructure designed for enterprise use
Technology Foundation:
Uses remote Chromium browser sessions for automation
Powered by AI models including OpenAI’s CUA technology
Adaptive to website changes (unlike traditional RPA scripts)
Processes tasks through their Twin Model (action planning system)
Performance Claims:
Twin.so states they’ve improved performance significantly over three generations of their technology. They report 6x speed increases, 35x cost reductions, and 55% accuracy improvements over the past year.
Real-world deployment: Invoice Operator
Twin.so’s first major product is the Invoice Operator, built in partnership with Qonto (European fintech) and OpenAI:
Scale - Serves 500,000+ SMBs across Europe
Function - Automatically retrieves invoices from vendor portals
Support - Works with thousands of different invoice provider websites
Integration - Embedded directly in Qonto’s platform for seamless operation
This deployment demonstrates that browser automation can work at production scale for repetitive document retrieval tasks.
Potential integration with Tallyfy
Twin.so focuses on enterprise partnerships rather than self-service integration. Integration with Tallyfy would likely require:
Contact Twin.so for enterprise access
Twin.so works directly with enterprise customers to build specialized agents. Reach out through their website to discuss integration possibilities.
Define your automation use cases
Identify Tallyfy tasks that involve repetitive browser-based work - invoice downloads, portal checks, data extraction from web forms.
Explore API integration options
Twin.so provides an API at https://api.twin.so with endpoints for task management (start tasks, check status, retrieve results). Integration architecture would depend on your specific needs.
Set up credential management
Twin.so’s Vaults feature securely stores website credentials. Your automation tasks would reference these vaulted credentials rather than exposing passwords.
Work with Twin.so’s team on implementation
Custom integration development would be required to connect Twin.so’s browser automation with Tallyfy’s workflow orchestration.
Example automation scenario
Here’s how a Tallyfy-Twin.so integration might work for invoice retrieval:
Tallyfy Task: “Retrieve Monthly Invoice from Service Provider”
The Computer AI Agent market offers both enterprise-ready solutions like OpenAI Operator Claude Computer Use and Twin.so alongside open-source alternatives like Skyvern and Manus AI each bringing unique strengths for different workflows from consumer tasks to developer automation with integration capabilities for handling mundane web-based processes.
Skyvern automates browser workflows using LLMs and computer vision with an 85.8% accuracy rate on the WebVoyager benchmark and offers both open-source self-hosting and cloud deployment options for integrating with Tallyfy to handle mundane web-based tasks through its three-agent architecture that adapts to website changes without breaking like traditional RPA scripts.
Computer AI Agents are software programs that can see interpret and interact with any screen interface using visual perception and natural language instructions to automate browser-based tasks while Tallyfy provides workflow orchestration structure and transparency around these AI-powered automation capabilities.
OpenAI’s agent capabilities integrate with Tallyfy to automate workflow tasks through browser automation web search and document processing using the Responses API Agents SDK and Computer Use model while requiring careful task design and human fallbacks for complex processes.
