Workflows - From Computer Vision to LLMs Fine-tuning, access robust labeling workflows.

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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 feedbacks on their multimodal systems to develop models that make autonomous decisions, alike humans.

1.
Scoping needs, Building datasets, writing guidelines

From concept phase to completion, scale your annotation project with us.

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2.
SELECTION
OF YOUR AI Labeling tool

We get the best from GenAI tools and annotate on the labeling tool of your choice.

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3.
Adding RELEVANT Human-in-the-loop

Access the best on-demand workforce to scale your data labeling projects.

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4.
Fine-Tuning Your AI Models

Combining human expertise with cutting-edge AI techniques.

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5.
production and on-time delivery

Hundreds of projects launched and we are continuously improving our processes.

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1. Fundamentals: Scoping Your Needs, Building Your Dataset, Writing Guidelines.
From concept phase to completion, we scope your project, build high-quality datasets, and write clear, actionable guidelines for the labeling workforce.

Guidelines tailored to your project

Writing clear and comprehensive guidelines for the labeling team.

Data Collection

Curating datasets from a variety of sources to ensure your dataset is diverse and representative and synthetic data generation to augment datasets where real data is insufficient.

Data Cleaning

Cleaning to remove any inconsistencies, making the data suitable for the labeling process.

2. Labeling Tool Selection
We offer a wide range of labeling tools to fit your project's specific needs. Choose from our proprietary solutions, integrate your existing tools, or leverage our partnerships with industry-leading platforms.

Your Tools

We seamlessly connect our workforce to your preferred annotation tools through our efficient API.

Our Tools

Benefit from our advanced, in-house labeling tools designed for accuracy and speed.

Partner Tools

Access a diverse ecosystem of cutting-edge labeling tools through our partnerships.

OEM Solution

Whether you prioritize cloud-based efficiency or on-premises security, we provide flexible deployment options to meet your requirements.

Discover our Offers

3. Empowering Your AI Models with Expert Labelers
We provide a global workforce of 1000+ highly skilled women who are dedicated to delivering exceptional data labeling services. Our comprehensive training programs and advanced platform ensure accuracy, efficiency, and scalability for your projects.

Talent Selection

We carefully select labelers based on their skills, experience, and language proficiency to match your project requirements.

Scalable Workforce

With over 1,500 labelers across 44 countries, we can rapidly scale your workforce to meet fluctuating project demands.

Meet our Workforce

Comprehensive Training

Our rigorous training programs equip labelers with the knowledge and tools needed to excel in data labeling tasks, including project-specific guidelines and best practices.

Isahit Platform

Our proprietary platform streamlines the labeling process, providing efficient management, quality control, and communication tools.

4. Fine-Tuning Your AI Models with Human Expertise (HITL, RLHF)
We enhance model performance through a human-centered approaches, combining human expertise with cutting-edge AI techniques. Our iterative process ensures continuous improvement and optimal results.

Human-in-the-Loop (HITL)

We leverage human feedbacks to refine model outputs and improve data quality. We coordinate with the AI/ML team to iterate on the labeling process based on model performance.

Quality Control

We implement robust quality control measures, including golden tasks and expert review, to maintain data integrity and consistency.

Reinforcement Learning with Human Feedback (RLHF)

We optimize your model through reinforcement learning, guided by human preferences; in addition to a mix of workflow & instructions adjustment.

Iterative Refinement and Prompt Optimization

Continuously refine model and prompts through analysis, feedback, and testing.

5. Qualitative production and on-time delivery
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.

Iterative Improvements

Continuously refine delivery processes based on client feedback and project outcomes.

Tailored Data Delivery

We deliver high-quality labeled data in formats that perfectly align with your project requirements. Our expertise in data handling ensures seamless integration into your workflows.

Flexible Delivery Formats

Offering a range of formats, from CSV and JSON to more specialized formats, to suit different client needs and project specifications.