Keymakr

Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs.

Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types.

Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance to protect, preserve, and maintain the privacy and integrity of sensitive data across all projects.

What Keymakr does:

• Labeling / Data annotation

Precise image and video labeling, from bounding boxes to pixel-perfect segmentation

• LLM / RLHF dataset solutions

Expert preference ranking, critique and rewriting, and response scoring for instruction tuning and safety alignment

• Data solutions for physical AI

Training data for robotics and embodied systems, including sensor fusion labeling, human-robot interaction scenarios, manipulation tasks, and real-world environment annotation to support perception, planning, and action in physical environments

• Hallucination & Citation checks

Source-grounded factuality labeling, evidence span identification, and contradiction detection, performed by domain experts

• Multimodal data

Image and video region tagging, OCR quality validation, and 3D point-cloud semantics for robotics and perception systems

• Datasets for Agentic AI

Task success evaluation, tool-use workflow verification, and autonomy safety assessment

• Privacy-first workflows

PII removal, secure and scalable operations, and established protocols for data protection