We collect and get a lot of data from wherever you want. Then our labelers do the cleaning part. We want for you to start your models based on the best data mix.
Great labeling is necessary to fine-tune your Generative AI models. To build strong LLMs, you need to get queries and prompts right tagged for better dialogues betweend humans and machines. This is our job.
We use RLHF and HITL to evaluate large language models, ensuring accurate output. This expertise improves the accuracy of your AI and machine learning models through verification, evaluation, and correction of your prompts and generated content.
Gather, create, or curate prompt-generation for your Generative AI model
Ask Data experts to enhance model accuracy
Evaluate and rank prompts and results
Get human feedback to score and categorize responses
Conduct model evaluations to refine performance
Identify and remove negative generated content
Review prompts and outputs for potential issues, with adversarial testing
Provide real-time support for Generative AI models in production
Conduct ongoing human verification and confirmation for classifier support
We recruit a workforce adapted to your needs (language, timezone, academic skills) that we train and manage throughout your projects.
We offer 100% configurable anotation tools (APIs) according to your needs (computer vision, NLP…)
We have a solid workforce management platform (assignment, training, tracking, payment, analytics) and a CSM team dedicated to your projects.
We guarantee security of your datas and the best quality for your annotation thanks to an integrated and intelligent quality control system.
We place impact at the heart of our business model and measure it every year, making us the first B Corp certified AI company in Europe.
Our workforce is multicultural, coming from 44 different countries, speaking more than 16 languages, with different academic backgrounds and professional experiences.
We assign our workforce to projects based on their skills and then provide them with a complete onboarding (more than 3 hours of training per project) & ongoing coaching.
We understand our customer's needs for flexibility and offer them appropriate solutions: scalable workforce, tools for every labelling needs, pay as you go system.
Use of a consensus process
Assigning images according to the skin type : (Indian, Asian, African, American, Caucasian)
Order of points
Process of managing fluctuating image flows
Optimisation of the tool to handle several hundred annotations per image
Use of the directional bounding box with directional vector
A tailor-made annotation pipeline
A tailor-made API
Specific interface for label management
Describe your project and access our on-demand workforce. With an ethical touch.
Start a Small Data Labeling Project for Free, right now, thanks to our user-friendly annotation tool!
Learn more about our Community, our job opportunities and start making money while learning new skills.