The First Vision-Based
AI Worker

Emma is an automation solution that relies purely on vision—AI models that can process on-screen elements and navigate just like humans.

Emma reads, types, and clicks just like a human, but does it consistently, and around the clock.

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Your new job is to tell Emma what needs to be done. Offload your chores!

Trusted by industry leaders

Over 500 companies—from emerging ventures to Fortune 500 giants— have joined our mission to make the future happen.

Record the task. We do the rest.

You don’t need to write a process doc. You don’t need to map out edge cases. Our onboarding team handles the full end-to-end setup:

We observe your team performing the task (screen recording or live demo)

We document each step in structured and unstructured formats

We configure Emma using screenshots, natural language, and business rules.

We test, approve, and deploy Emma into your environment.

Our onboarding team of Project Managers, Customer Success specialist, AI Engineers and support staff are trained to deliver an outstanding experience. You never touch code, scripts, or logic trees—we translate human workflows into what the AI worker needs.

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Natural language descriptions
No scripts. No developers. No APIs. Training Emma is as intuitive as training a new employee:
Define the process with everyday descriptions (e.g., “Open Excel, filter column B for unpaid invoices, copy those to ERP”).
Upload screenshots or walk Emma through the task once using a screen recorder.
Explain decision making steps, business rules, and conditional logic with the simplicity of a ‘slack’ message.
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Natural language
Vision-layer interface engine
Emma’s core is a Vision-Layer Interface Engine (VLIE) that interprets everything on screen, regardless of app or environment. Think of it as a universal user that works across platforms.
Screen text & object recognition engine
Visual element detection
Dynamic layout adaptation
Keystroke + pointer automation
Multi-monitor awareness
Application-agnostic
Dual-Engine Architecture: AI + Rules
Emma blends the most advanced AI models with a deterministic rules engine, enabling it to handle both unstructured and logic-driven tasks. AI Capabilities:
Interprets language data like email bodies, document contents, task descriptions, context clues, etc.
Converts natural language into structured commands and flow logic.
Primarily for PDF parsing... even poorly scanned ones.
Classifies on-screen data types for conditional navigation.
Stores historical steps, references other windows/files while operating.
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Dual Engine Illustration
Rule engine features
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If/Else logic chains

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Thresholds, branching, and case-specific paths

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Data validation (cross-screen matching, field length, lookup values)

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Error handling routines and retries

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Escalation workflows (if exceptions or suspicious items are found)

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Enterprise-ready deployment
We deploy Emma to match your security, compliance, and IT environment. Emma runs locally or in the cloud, with minimal requirements.
OS Support
Windows 10+, macOS 12+, Linux (Ubuntu/CentOS/Debian)
App Compatibility
Browser, Desktop, Terminal, Virtual Desktop (Citrix, RDP)
Data Footprint
‹200MB agent, sandboxed environment, local cache option
Security Compliance
SOC 2, HIPAA, GDPR, full audit trail and access controls
Connectivity
Fully air-gapped or cloud-synced, based on your policy
Security & Compliance
  • CheckRole-based access control (RBAC)
  • CheckAudit trail of all actions and data changes
  • CheckFull logging + optional video capture of task execution
  • CheckGDPR, HIPAA, SOC 2 readiness (for on-prem customers)
  • CheckData encryption at rest and in transit
  • CheckDoes not require persistent screen scraping or browser extensions
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Notebook Cloud
Ongoing support and engineering
Emma isn’t static. It improves over time via:
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Feedback loops from task performance

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Active prompt and model adjustments on ambiguous cases

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Versioning of process logic for rollback/review

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Prompt tuning based on error logs and corrections

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