ANNOTECT

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HIGH QUALITY

TRAINING DATA

1k + Brands Trust Us


5+

years of experience

25+

completed projects

ABOUT US

Built by Operators, for AI Teams

Annotect was founded because growing AI companies faced a broken choice: pay enterprise prices for Scale AI, gamble on anonymous crowd workers, or try to build annotation capacity in-house. None of these worked for startups that needed quality data without enterprise budgets.

We built Annotect to solve that a dedicated, managed annotation team with documented quality processes, Canadian incorporation for enterprise trust, and pricing that respects startup economics.

Expert RLHF

Expert human feedback for LLMs including preference ranking and reasoning.

Precision Labeling

Production-ready labeled datasets for computer vision and NLP models.

Computer Vision

High-precision detection, segmentation, and keypoint identification.

WHAT WE OFFER

Our Our 5-Stage QA Process

Statistical outlier detection for speed, distribution, and spatial bounds.

 

First 10% of every project fully reviewed by QA Lead.

 

Statistical outlier detection for speed, distribution, and spatial bounds.

 

Minimum 10% of every batch independently re-annotated.

Corrections logged, categorized, and fed back into annotator training.