Introducing a robust AI data solution that accelerates model and application development 
- Centific’s frontier AI data foundry platform offers the end-to-end AI workflow orchestration you need to automate and streamline AI model training, fine-tuning, evaluation, and deployment. It integrates data management, model benchmarking, and pre-built RAG pipelines to help enterprises accelerate AI workflows while supporting compliance and scalability.
- The platform supports multi-cloud and on-premises environments, improving deployment flexibility. The platform also features a data marketplace built to help organizations source proprietary, third-party, and synthetic datasets for AI model enhancement. 
- The platform helps ensure operational efficiency through human-in-the-loop (HITL) feedback, robust benchmarking, and safe AI governance tools—making it a powerful solution for enterprises, startups, and AI researchers. 
- AI engineers and data scientists using pre-built pipelines for model training and benchmarking.
- DevOps and IT teams managing AI infrastructure, security, and performance monitoring. 
- Business analysts and program managers using real-time insights for data-driven decision-making. 
- Compliance officers ensuring AI models meet security and governance standards. 
- Allow users to request new datasets or use off-the-shelf datasets from Centific’s Data Marketplace, providing them control over data collection and annotation.
- Fine-tune models to maximize performance on scenarios like speech recognition or domain-specific image and text categorization. 
- Use end-to-end entity extraction of attributes from customers’ merchant catalogs, involving HITL procedures, machine extraction, fine-tuning, and model creation. 
- Build high-performing vector stores so your team can serve quality product responses through the online shopping assistant. 
- Annotate data (including prompt curation, response combination, A/B comparisons from survey responses), improve customer satisfaction, and raise gross merchandise value by incorporating insightful feedback. 
- Evaluate your models’ response safety against jailbreaking attempts, identify vulnerabilities, and build safety guardrails.