Artificial intelligence company Shaip has launched a new Generative AI Platform aimed at addressing key challenges in AI development. The platform offers end-to-end support for Large Language Model (LLM) creation, focusing on data quality, model performance, system scalability, and regulatory compliance.
The Shaip Generative AI Platform provides tools for multiple stages of AI development:
- Data Generation: Offers ethically sourced data for training and testing, with support for synthetic dataset creation and API/SDK integration for custom data.
- Experimentation: Allows users to manage prompts and compare models from providers like OpenAI, Google, Anthropic, and Cohere, as well as open-source options.
- Evaluation: Includes over 50 automated metrics for assessing model performance, such as hallucination, relevancy, and toxicity. Custom evaluations and integration with open-source tools are also supported.
- Observability: Provides real-time monitoring and analytics for tracking AI system performance, costs, and usage in production environments.



