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AI needs are evolving.
We're evolving too. Building next-gen AI Workflows for Scientists.

Isahit has shifted from labeling images, videos, and texts to focusing on labeling multimodal and unstructured data to training Large Language Models (LLMs) and GenAI. All with Ethical Human-in-the-loop techniques.

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Machine Learning

Engineers asked us to enhance their Computer Vision and NLP models, relying on data from various datasets.
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LLM & RAG
FINE TUNING

Engineers ask us to train their LLMs by optimizing their prompts, cleaning unstructured data, to build custom GenAI tools and systems.
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AGI

AGI (General Artificial Intelligence) aims to achieve human-level intelligence. Engineers will seek our feedback on their multimodal systems in order to develop systems that can learn and make autonomous decisions, alike humans.
1. Scoping needs and building workflows
Scale your annotation project with a dedicated team.
2. Running on the best GenAI and Labeling tools
We get the best from GenAI tools and annotate on the labeling tool of your choice.
3. Adding RELEVANT Human-in-the-loop
Access the best on-demand workforce to scale your data labeling projects.
4. Ensuring production and delivery
Hundreds of projects launched and we are continuously improving our processes.

1. Scoping your needs and building workflows
Scale your annotation project with a high class project management team

A dedicated team to your projects to ensure the best possible results. They monitor your projects from start to finish: recruiting and training the workforce, defining guidelines, monitoring data labeling quality, monitoring compliance with timings, technical support, etc.

Guidelines & instructions tailored for every project
Annotations workflow & feedback loops
Quantified metrics to follow productivity & quality
Internal guaranteed and tests

2. Picking and running on the top GenAI and Labeling Tools
Powerful tools tailored to your needs - Yours, ours or partners tools

We have surrounded ourselves with external partners in order to offer complementary tools to our customers and to meet all their needs.

Client's Annotation Tools

We connect our workforce to your tools thanks to our efficient API

Best Preprocessing and Generative AI Tools

A complete stack of partner and public Tools to preprocess labeling and put efforts on complex tasks.

Our Partner's Annotation Tools

We partnered with the most advanced tools in the industry to make your annotation projects a success!

Some of the Tools we love to Label on.
Robots work with Humans. And vice-versa!

3. Improving your Models with Human-in-the-loop
We build the best workforce to scale your projects with quality.

Over than 1500 women work every day for our client's project and all of them have one goal: to succeed in the projects and to acquire new skills. We find you the right profiles to accelerate your projects.

Trained & Coached

We provide complete training to our workforce: generic training on annotation tools and methods + project-specific training, as well as coaching throughout the project

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Diverse

Our workforce is more than 1,500 women, present in 44 countries, who speak 16 languages and have complementary academic and professional skills

Isahit Workforce Management Platform

A complete platform where our workforce annotate your datas

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4. Ensuring qualitative production and on-time delivery
Hundreds of projects launched and our processes are continuously improving.

A successful annotation project implies an iteration and a validation phase between the client and our team. At Isahit, we learn how to annotate out of examples and not out of theorical training. A contributor is ready to work on a project once he has been trained on numerous of data and various scenarios.

a. Creation of the pipeline

• Understanding the need
• Definition of the workflow
• Implementation of the project
• APIs configuration

b. Validation phase by iteration

• First test on sample data
• Feedbacks session
• Workflow & instructions adjustment

c. Adjustment phase

• Second Test on a larger volume of data
• Feedbacks session
• Processes & instructions adjustment
• Definition of objectives & quality KPIs

d. Production phase

• Process ramp up
• Continuous training of contributors
• Monitoring of quality & production KPIs