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Transform complex documents into verifiable intelligence with AI-powered automation.

Build custom AI agents to automate your most repetitive operational workflows without writing a line of code.

Levity AI is a sophisticated no-code automation platform engineered for operations teams to bridge the gap between unstructured data and structured business outcomes. By 2026, Levity has evolved from a simple image/text classifier into a comprehensive AI Agent orchestration layer. Its technical architecture allows users to build 'AI Blocks' that perform complex cognitive tasks—such as interpreting nuances in legal documents, identifying product defects in images, or sentiment-aware email routing—and integrates them into existing stacks via Zapier, Make, or native APIs. Unlike standard RPA, Levity leverages proprietary machine learning models and LLMs that learn from 'Human-in-the-Loop' (HITL) interactions; when the AI is uncertain, it triggers a human review, and the resulting correction is used to fine-tune the model in real-time. This active learning loop ensures near-perfect accuracy over time. Positioning itself as the 'AI for Ops' leader, Levity provides a low-barrier entry to custom ML without requiring a data science team, specifically targeting mid-market enterprises looking to automate document-heavy workflows, customer support triage, and quality assurance processes.
Levity AI is a sophisticated no-code automation platform engineered for operations teams to bridge the gap between unstructured data and structured business outcomes.
Explore all tools that specialize in extract data from documents. This domain focus ensures Levity AI delivers optimized results for this specific requirement.
Explore all tools that specialize in document data extraction. This domain focus ensures Levity AI delivers optimized results for this specific requirement.
A proprietary system that identifies low-confidence predictions and queues them for human validation, using the feedback to retrain the model weights automatically.
Ability to process and correlate data from text, images, and documents within a single unified workflow.
Granular control over the automated decision-making process by setting numerical thresholds for 'Accept', 'Review', or 'Reject'.
Interface for adjusting LLM and Vision Model parameters without writing Python or managing cloud infrastructure.
Direct entry points for any JSON payload, allowing integration with custom-built internal tools.
Uses zero-shot learning to suggest labels for new data, speeding up the initial setup phase.
Conditional routing based on AI output values, enabling complex multi-step decision trees.
Sign up and connect your workspace to a primary data source (e.g., Google Drive or Gmail).
Choose a workflow template or start a custom 'AI Block' from scratch.
Define your labels and categories for classification or fields for extraction.
Upload a training set of at least 20-50 samples to establish a baseline model.
Label the samples manually to teach the AI your specific business logic.
Run a model training session and evaluate the initial accuracy metrics.
Configure the 'Human-in-the-Loop' threshold (e.g., any confidence score below 80% goes to human review).
Integrate the AI Block into a workflow using the Zapier or Make.com connector.
Run a live test with real-world incoming data to verify the logic flow.
Monitor the 'Learning' tab to process human reviews and improve model performance over time.
All Set
Ready to go
Verified feedback from other users.
"Users consistently praise Levity for its intuitive interface and the ability to train complex models without a background in data science. The human-in-the-loop feature is frequently cited as a 'life-saver' for maintaining data integrity."
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