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.

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.

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.