Battle-tested AI Agents

We developed a desktop application for AI Agents to rely purely on vision—they can process on-screen elements and navigate just like humans.

Agents read, type, and click just like a human. Our industrial-strength architecture is designed to handle the imperfect situations and complexities of real-world tasks.

Select the Task. We Do the Rest.

You don't need to write a process document or map out edge cases. Our onboarding team handles the entire setup process.

Understand the Workflow

We observe your team performing the task through screen recordings or live demo sessions.

Document the Process

We flowchart each step in both structured and unstructured formats for clarity and consistency.

Configure Logic

We configure a fully autonomous decision-making playbook using screenshots, plain language, and your specific business rules.

Launch Deploy and Validate

We test, validate, and fully deploy agents into your work environment.

Our onboarding team includes project managers, customer success specialists, AI engineers, and support staff trained to deliver an outstanding experience.
You never touch code, scripts, or logic trees—we translate human workflows into what the AI Agent needs.

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Natural language descriptions

No scripts. No developers. No APIs.
Training an Agent is the same as training a new employee.

Plain-Language Instructions

Define the process using everyday descriptions.

Visual Guidance

Upload screenshots or walk through the task once using a screen recorder.

Logic Definition

Explain decision-making steps, business rules, and conditional logic in simple English.

Vision-Layer Interface Engine

At the core is a Vision-Layer Interface Engine (VLIE) that interprets everything on screen regardless of the application or environment. It acts like a universal user that works across platforms.

Screen Text & Object Recognition

A high-precision model trained on billions of user interfaces that supports low-resolution and handwritten screen input.

Visual Element Detection

Detects buttons, fields, tables, modals, tooltips, dropdowns, and other interface components accurately.

Dynamic Layout Adaptation

Learns and adapts to UI changes such as shifting elements, resolution differences, and dark mode settings.

Keystroke + Pointer Automation

Simulates user input such as typing, clicking, dragging, or scrolling across complex workflows.

Multi-Monitor Awareness

Operates across multiple screens and windows simultaneously for seamless desktop automation.

Application-Agnostic

Compatible with legacy software, browser tools, terminal emulators, virtual desktops, and modern desktop environments.

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Dual-Engine Architecture AI + Rules

We combine advanced AI models with a deterministic rules engine so it can handle both unstructured and rule-based tasks.

  • LLM Integration

    Interprets language data such as email content, documents, task descriptions, and contextual clues.

  • NLP Parsing

    Converts natural language instructions into structured commands and workflow logic.

  • Document Intelligence

    Processes and extracts information from documents such as PDFs, including poorly scanned files.

  • Web & App Intelligence

    Classifies on-screen data types to guide conditional navigation.

  • Multi-Context Memory

    Stores historical steps and references other windows or files while operating.

Rule Engine Features

If/Else Logic Chains

Executes conditional routing based on defined rules.

Thresholds & Branching

Routes processes when values exceed or fall below set limits.

Data Validation

Performs cross-screen matching, field-length checks, and lookup verification.

Error Handling & Retries

Automatically retries failed steps and manages exceptions.

Escalation Workflows

Escalates cases when exceptions or suspicious items are detected.

Enterprise-Ready Deployment

LaunchAI can be deployed to match your security, compliance, and IT environment. It runs locally or in the cloud with minimal requirements.

  • OS Support

    Windows 10+, macOS 12+, Linux (Ubuntu, CentOS, Debian).

  • App Compatibility

    Browsers, desktop apps, terminals, and virtual desktops (Citrix, RDP).

  • Data Footprint

    Less than 200MB agent with a sandboxed environment and optional local cache.

  • Security Compliance

    SOC 2, HIPAA, GDPR, full audit trails, and access controls.

  • Connectivity

    Fully air-gapped or cloud-synced depending on company policy.

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Security & Compliance

  • Role-based access control (RBAC).

  • Full audit trail of actions and data changes.

  • Logging and optional video capture of task execution.

  • GDPR, HIPAA, and SOC 2 readiness.

  • Data encryption at rest and in transit.

  • No persistent screen scraping or browser extensions required.

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Ongoing Maintenance and Support

Agents improve over time through:

Feedback from task execution to improve performance

Automatic prompt adjustments when ambiguity occurs

Process tracking and versioning for rollback and testing

Continuous tuning using logs, errors, and correction feedback

Supporting tools include

  • Workflow mapping and flowcharting widget
  • Rules and logic mapping tables
  • Comprehensive data viewing and exporting portal
  • Exception handling interface
  • Runtime audit logs
  • Real-time monitoring and alerts
  • One-click support and live issue resolution
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What you provide vs. What We deliver

You provide

  • A short walkthrough (screen recording, call, or visual documentation).
  • Ensure the tools or applications involved in the process are installed in the working computer/VM.
  • Key steps, goals, and expected output.
  • Any exceptions to rules and steps requiring special consideration.

We deliver

  • We build, deploy and maintain the AI Agent.
  • We guarantee output and 99% uptime.
  • Flowchart with real time visibility of the process.
  • Audit logs, exception reports, and detailed historical outputs.
  • Scheduled and trigger based reports.
  • Testing and validation services.
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