Precision Data Labeling for Peak Performance
Power up your AI with 98% accurate data annotation and labeling—across images, text, audio, and beyond!
Accelerate AI Innovation with Expert Data Labeling Solutions
Supercharge your AI with high-quality, precisely labeled data designed for peak performance.
Our end-to-end annotation and labeling solutions cover images, text, audio, and video—ensuring your AI models are trained with the most relevant, structured, and insightful data.
We leverage powerful data labeling accelerators, including open-source tools like Label Studio and Doccano, as well as cloud-native frameworks such as AWS SageMaker Ground Truth and Google Cloud AutoML. Whether you need large-scale automation or domain-specific expertise, our human-in-the-loop approach ensures scalable, efficient, and high-accuracy annotation—accelerating AI innovation across industries.
Our Precision-Powered Data Labeling Solutions
At Indium, we provide end-to-end data annotation solutions, ensuring precision, efficiency, and scalability for all your AI needs. Here’s how we make it happen:

We utilize custom-built platforms and cutting-edge tools to enhance workflow efficiency and ensure high-precision data labeling. With real-time analytics and quality management, your projects stay on track at every stage.
Why Choose Indium for Data Annotation
and Labeling?
We do more than just label data—we supercharge your AI with high-quality, intelligent annotations. As your end-to-end data partner, we help unlock the full potential of your data, driving accuracy, efficiency, and innovation. Here’s what makes us stand out:

Proven Expertise & Trusted Solutions
With years of experience in precision-driven data labeling, we provide tried-and-tested solutions that empower AI models with unmatched accuracy and reliability.

Comprehensive Data Labeling Services
From image and video classification to complex 3D point cloud annotation, our 20+ annotation services cover the full spectrum of data needs, ensuring your AI is trained with high-quality inputs.

Industry-Specific Precision
We go beyond standard labeling, offering tailored annotation solutions for industries like retail, healthcare, autonomous vehicles, BFSI, and more, with over 1 billion datasets labeled to date.

Unwavering Commitment to Quality
We set the industry benchmark with 98% accuracy, ensuring your AI models are built on reliable, high-integrity data for superior decision-making.

Cost-Effective, High-Value Solutions
Get the best of both worlds—premium-quality data labeling at an affordable price, delivering maximum value without compromise.

Scalable & Agile to Meet Your Needs
Our flexible approach allows us to adapt quickly to new tasks, data types, and evolving project requirements—scaling seamlessly as your AI initiatives grow.
Success Stories
Real Stories, Real Impact
Smart Data Labeling, Smarter AI
The Uber Data Labeling Solutions (UDLS) Advantage
Let’s Talk Specifics
Our Data Annotation Expertise
- Generative AI
- Image & Video Annotations
- Text Annotations
- Tabular Data Annotations
- Audio Annotations

Improve model accuracy with human feedback.
Generate detailed, contextual annotations.
Train models for better natural language understanding.
Expand datasets for diverse AI applications.
Fine-tune AI behavior based on user preferences.

Accurately label individual objects within an image.
Create precise 3D bounding boxes around objects of interest.
Assign the correct labels to images for seamless categorization.
Identify and define objects within images using bounding boxes.
Label entire regions within an image based on object classification.
Accurately tag X, Y, and Z coordinates for LIDAR models.
Train AI models to identify and extract key sections from documents, such as tables and critical pages.

Identify and classify entities within text using industry-standard tools.
Highlight key phrases within text data.
Categorize documents and articles into predefined classes.
Generate concise and meaningful summaries through AI-driven paraphrasing.
Utilize entity detection to effectively redact sensitive information from documents.

Set up efficient data collection processes and infrastructure.
Perform quality checks, validation, and transformation to ensure data accuracy.
Create interactive dashboards and reports to help monitor key metrics and drive decision-making.

Transcribe audio samples to train Automatic Speech Recognition (ASR) models.
Categorize audio clips based on tone, speaker type, or content.