Cell Data Engine

Collect, refine, and label data.

Train, evaluate, and refine models.

AI is fundamentally reshaping business operations, demanding that organizations rethink workforce strategies, decision-making, and innovation pipelines. We guide businesses in strategic AI adoption, emphasizing the synergy between human intelligence and ethical considerations, and ensuring data integrity is a cornerstone of any AI initiative.

  • Identifying key business areas for AI integration and potential ROI.

  • Focusing on practical skills and real-world applications that benefit your business and help your employees perform their work more efficiently, and innovatively.

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WHY US?

Why Teams Trust the Cell Data Engine

We’re here to help teams build better models — faster, with higher-quality data, and a workflow that helps them accelerates the development of their models.

  • Cellpower can provide the foundation of any dataset with high-quality labels from domain experts.

  • Easily find, classify, and resolve model failures with the Cell Data Engine. Next, optimize your labeling budget by targeting only your most valuable data.

  • From small-scale experiments to enterprise deployments, Cell Data Engine is built to scale up (or down) with your project needs.

  • The Cell Data Engine supports a broad range of data types to maximize model performance and versatility.

LET’S BUILD YOUR AI

Cell Data Engine

For AI teams, Cell Data Engine improves your models by improving your data.

GENERATIVE AI DATA ENGINE

  • After pre-training, generate detailed prompt-response examples to continue refining your model.

  • Incorporate human feedback to shape model behavior.

  • Test your model with intentionally challenging prompts to uncover weaknesses — from safety issues and bias to unexpected or harmful outputs.

  • Evaluate your model against a set of complex and diverse prompts to find vulnerabilities.

WHAT IS THE CELL DATA ENGINE?

Everything You Need to Build AI That Works

The Cell Data Engine is a high-performance platform for improving machine learning models through high-quality, diverse data.

Text

  • Document Processing

  • Natural Language Processing

  • Transcription

  • Content & Language

DATA INPUTS

SUPPORTED ANNOTATION TYPES

Image

  • Image Classification

  • Object Counting

  • Image Tagging

  • OCR / Transcription

Video

  • Activity Recognition

  • Audio-Video

RESOURCES

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