What is Isahit?
Isahit helps enterprises leverage qualified human expertise to train, test, validate, and monitor AI systems—including data annotation, large language model (LLM) fine-tuning, AI evaluation, human oversight, and preparation for AI Act compliance. The platform achieves efficient scaling via “Human by API,” ensuring human involvement at every step from data to AI. Additionally, through impact sourcing, it creates meaningful digital jobs in developing countries, helping bridge the digital divide.
Key features
Correcting AI biases through human oversight ensures fairness and accuracy; implementing early-stage quality control prevents deviations and avoids long-term risks.
Supports image annotation, video frame-level annotation, natural language processing (NLP) information extraction, reinforcement learning from human feedback (RLHF) for generative AI and LLMs, A/B testing for agentic AI, and real-world human–machine collaboration in physical AI.
Use cases and audience
Ideal for enterprise clients requiring high-quality, ethically sound human-in-the-loop services, particularly suited for AI training, testing, validation, monitoring, and AI Act compliance scenarios.
- Train computer vision models for autonomous vehicles, drones, or flight simulators using high-quality, human-annotated data.
- Provides reinforcement learning with human feedback (RLHF) support for generative AI models and large language models (LLMs)
- Supports compliance verification for the AI Act, including independent testing, human evaluation, and generation of traceable evidence
Raw datasets—such as images, video frames, text, speech, product information, market content, and more—along with detailed annotation task instructions.
Structured annotated data processed by professional annotators and verified through quality control, including traceable records and evidence of compliance.
Frequently asked questions
Does Isahit support multimodal data annotation?
Supports data annotation services across multiple domains, including images, videos, natural language processing (NLP), speech/audio, generative AI, agentic AI, and physical AI.
How does Isahit ensure the fairness and compliance of AI systems?
Through human oversight, it corrects AI biases, conducts early quality control to prevent deviations, adapts locally to avoid English-centric bias, and provides traceable human evaluations and independent testing evidence required by AI regulations.
How to use
- 01
Describe your AI or data project requirements
- 02
Request an on-demand human annotation team through the Isahit platform
- 03
Conduct annotation work using your own tools, Isahit tools, or partner tools
- 04
Receive annotated results that have undergone quality control and review by human experts
Official website & sources
Updated on 2026-10-29
