Funding
Funding not disclosed
Founders
Product
Problem
Developing high-performance machine learning models requires access to accurately labeled datasets, which are often time-consuming and expensive to acquire. The complexity of data sourcing and annotation across various modalities, coupled with the specialized needs of generative AI development like RLHF and SFT, presents significant operational challenges for ML teams.
Solution
Datum AI provides comprehensive data annotation and collection services designed to accelerate machine learning development. The company offers expertise in sourcing and labeling diverse data types, including images, audio, and documents, to meet specific project requirements. For generative AI, Datum AI specializes in Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) to enhance Large Language Model (LLM) performance. By leveraging a global network of annotators and robust quality control processes, Datum AI delivers accurate, scalable, and cost-effective data solutions.
Target Audience
Datum AI serves machine learning engineers, data scientists, and AI product teams who require high-quality, labeled datasets and specialized data services for model training and development.
Features
- Scalable data annotation services for image, audio, and document modalities.
- Specialized data sourcing capabilities for industries including healthcare, finance, and legal.
- Expertise in Reinforcement Learning from Human Feedback (RLHF) for LLM alignment.
- Supervised Fine-Tuning (SFT) dataset creation for task-specific LLM adaptation.
- Red Teaming services to identify and mitigate LLM vulnerabilities.
- Multi-stage quality assurance, incorporating both manual and automated validation.
- Global network of over 1000 annotators with domain-specific expertise and linguistic proficiency.
- Secure data handling with HIPAA and SOC 2 Type II compliance.