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Platforms

Platforms we built.

Data annotation and crowdsourcing platforms by Lyseis.

Ratersapp

Ratersapp is a production-ready data annotation platform for turning raw data into meaningful inputs for AI and machine learning. It brings human judgment to the preparation of training and evaluation datasets, helping teams connect real-world information with the context their models need.

Human expertise at the heart of better training data and AI evaluation.

Data Labeling

Add meaningful labels and categories to raw data to support model training and evaluation.

Annotation Guidelines

Define the context, criteria, and examples that help annotators interpret each task consistently.

Human Judgment

Apply human understanding to ambiguous examples, nuanced content, and context-sensitive decisions.

Quality Review

Review annotations for accuracy and consistency against the requirements of the dataset.

AI Evaluation

Use human ratings to assess model outputs for relevance, clarity, and usefulness.

Dataset Preparation

Build a foundation of annotated examples for training, testing, and improving AI systems.

Better AI starts with data informed by human understanding.

Giginfinity

Giginfinity is a crowdsourcing platform that brings distributed human contributions into a shared project. From gathering information to reviewing content, crowdsourcing gives organizations a way to approach work through focused tasks, clear instructions, and the collective knowledge of contributors.

Connecting individual contributions with a shared project goal.

Task-Based Work

Break larger projects into focused activities with clear instructions and expected outcomes.

Distributed Participation

Bring together contributions from people with different perspectives, experiences, and local knowledge.

Data Collection

Gather human-contributed information and observations around a defined project brief.

Content Review

Apply human judgment to checking, categorizing, and assessing content against shared criteria.

Feedback & Insights

Collect perspectives that help teams understand user needs and refine ideas or experiences.

Contribution Quality

Use clear acceptance criteria to guide contributions and review their relevance to the project.

Many perspectives. Focused tasks. A shared outcome.