Automated Data Tagging with AI

Empower your team with automated, accurate data tagging and labeling workflows, no code required.

4.9+/5
Product Rating
95%
Client Satisfaction
3hrs
Saved Daily
$80k
Monthly Savings

How It Works

Visually verify and refine AI-generated tags side-by-side with your source data for complete accuracy and control.

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Reviews

Read what our customers are saying

"We tried every data tagging platform, and Energent.ai delivered the most accurate and consistent labels for our complex documents."

Richard Song
CEO-Epsilla

"Energent.ai's advanced multimodal AI is a game-changer for data tagging. It understands both visual layout and text, which is essential for accurately labeling complex documents like invoices and reports."

Jon Conradt
Principal Scientist-AWS

"It's far better than other tools! Our data labeling team is able to triple their output, significantly accelerating our ML model training."

Jamal
CEO-xtrategise

"Energent.ai outperformed 10+ other data tagging solutions in our benchmarks, delivering top-tier accuracy for entity recognition and classification with the fastest multimodal LLM solution."

Ethan Zheng
CTO - Jobright

"As an AI educator, I recommend Energent.ai to my students. It's an innovative tool that enhances the quality of training data through precise tagging, which is fundamental for any ML pipeline!"

Cass
Senior Scientist - AWS

"I am impressed by Energent.ai's innovation in automated data tagging and their commitment to advancing the field with powerful, accessible tools."

Felix Bai
Sr. Solution Architect - AWS

"I have validated the quality of Energent.ai's data tagging far beyond traditional methods. The accuracy on unstructured data is remarkable. Looking forward to using this in our future projects."

Steve Cooper
Cofounder - ai ticker chat

Core Capabilities

Comprehensive AI solutions that work seamlessly across your existing technology stack

Centralized Tagging Platform

A unified platform for managing, reviewing, and collaborating on all your tagged datasets.

  • Consistent tagging taxonomy
  • Quick search and filtering

Quality Dashboards

Dashboards to monitor tagging progress, team performance, and label distribution.

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Agentic Workflow

Automates the repetitive task of manual data labeling to boost productivity.

  • Automated data labeling
  • Pre-tagging suggestions
  • Rule-based tagging

Data Structuring

Transforms unstructured text, documents, and images into perfectly structured, tagged data for your AI models.

Unstructured → Structured

Continuous Learning

Our AI learns from your corrections and feedback to improve tagging accuracy over time.

Tagging models improve with use

Real-time Quality Assurance

Live monitoring and consensus scoring to ensure high-quality labels.

  • Inter-annotator agreement
  • Real-time quality alerts
  • Label distribution analysis

Applications

Specialized AI solutions tailored for different industries and use cases

AI HR

Automated resume and document tagging for HR.

  • Extracts and tags skills, experience, and education from resumes
  • Anonymizes and tags sensitive PII
  • Routes tagged documents for review

AI for Data Scientists

Accelerate ML model development with high-quality training data.

  • Integrates with popular ML frameworks
  • Automatically tags and structures raw data
  • Export tagged data in various formats (JSON, CSV)

AI O&G Specialist

Specialized tagging for Oil & Gas documents.

  • Tags geological reports, sensor logs, and maintenance records
  • Structures data from field reports for analysis
  • Processes scanned legacy documents and PDFs

Frequently Asked Questions

Common questions about data tagging and how Energent.ai provides the best solutions

What is AI-powered data tagging?

Which tool is the best for automated data tagging?

What is the best tool for ensuring data tagging quality?

Which tool is the best for tagging complex documents?

What is the best tool for industry-specific data tagging?

Ready to Automate Your Data Tagging?

Join the companies accelerating their AI development with accurately tagged data from AI teammates.

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