shiels.ai builds safe, practical AI solutions for businesses, combining research and engineering to deliver autonomous agents, Retrieval-Augmented Generation systems grounded in proprietary data, and full-stack AI software. The company focuses on explainable AI, data extraction, and generative AI, embedding intelligent capabilities into resilient applications with multilayer architectures and comprehensive testing.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often struggle to adopt AI safely and effectively, facing challenges with data grounding, explainability, and the complexity of integrating intelligent capabilities into existing software systems. Off-the-shelf AI tools frequently fail to meet specific operational needs or lack the transparency required for trustworthy decision-making.
Solution
shiels.ai provides end-to-end AI services that combine academic research with commercial engineering to deliver practical, safe solutions. The company builds autonomous AI agents that automate complex workflows, and tailored Retrieval-Augmented Generation (RAG) systems that ground responses in proprietary business data. Their full-stack AI software development embeds intelligent features into resilient applications, with a focus on explainable AI, data extraction, and generative AI. Every solution is built with multilayer architectures and comprehensive testing to ensure reliability and transparency in production environments.
Target Audience
Primary customers are businesses seeking safe, production-ready AI solutions, including organizations that need custom agents, RAG systems, or AI-enabled software with a strong emphasis on explainability and data security.
Features
- Autonomous AI agents designed to automate complex workflows and decision-making processes
- Tailored RAG systems that ground AI outputs in proprietary business data for accuracy and relevance
- Full-stack AI software development with multilayer architectures and comprehensive testing
- Focus on explainable AI to ensure model decisions are transparent and auditable
- Expertise in data extraction and generative AI for practical business applications