Isahit

Isahit is a B-Corp certified company that ethically scales AI and Data projects by providing a managed, human-driven workforce. They specialize in LLM fine-tuning, RAG optimization, and quality data processing to ensure top-quality, bias-free AI agents. Isahit empowers women across four continents by creating meaningful, flexible part-time digital jobs and bridging the digital divide.

How to Use

To use Isahit, businesses can book a demo or describe their project to access an on-demand, ethical workforce. For data labeling, clients can start a small project for free using Isahit's user-friendly annotation tool, or they can utilize Isahit's managed workforce on their own tools, Isahit's certified tools, or partner tools. They offer various solutions from basic labeling to advanced LLM fine-tuning and custom consulting services.

Key Features

• Human-driven LLM fine-tuning
• RAG optimization
• Quality data processing (data entry, cleaning, management, PIM, CRM optimization)
• Image, video, speech & audio annotation
• Natural Language Processing (NLP)
• Agentic AI Solutions
• Ethical managed workforce (Human-in-the-Loop)
• Active Learning Workflows and Workforce Management for RLHF
• Proprietary and client-tool compatible labeling solutions
• AI bias correction and quality assurance
• Localization and customization of AI responses

Use Cases

• Training computer vision models for autonomous cars, drones, or flight simulators using image and video annotation.
• Extracting specific information from text for Natural Language Processing models.
• Outsourcing repetitive back-office tasks such as KYC/KYB verification and data entry.
• Improving user experience for e-commerce through product categorization, product sheet enrichment, and product reviews moderation.
• Developing Generative AI Models and Language Models (LLMs) with Reinforcement Learning from Human Feedback (RLHF).
• Data cleansing and annotation for computer vision algorithms.
• Content management tasks like writing product sheets, articles, subtitling, and translating texts.
• Transcribing information on CVs/resumes, enriching and cleaning databases, or monitoring information for legal, financial, and human resources sectors.