Raw data is messy, siloed, and constantly changing. LLMs and RAG systems require structured, current, and enriched data. Without the right ingestion layer, AI answers drift, context becomes stale, and users lose trust.
Seamlessly connect to any source, normalize and enrich datasets, and deliver AI-ready data to your vector stores and agents—securely and at scale.
Transform raw data into AI-ready intelligence with our unified ingestion platform.
Seamlessly connect and unify data across all enterprise systems with 250+ pre-built connectors and real-time synchronization.
Role-based permissions, data governance, and compliance frameworks ensure your data remains secure and audit-ready.
Dynamic entity relationships with cross-domain intelligence that evolves as your data grows and changes.
Specialized domain intelligence with contextual understanding that automatically enriches and structures your data for AI consumption.
Automated model deployment, fine-tuning, and continuous learning that keeps your AI systems performing at peak efficiency.
Connect to any data source with our comprehensive connector library.
Quantified results from real enterprise implementations
Average performance boost across implementations
Return on investment within first year
Reduction in data quality incidents
Three simple steps to transform your data into AI-ready intelligence
Choose from 250+ one-click connectors to seamlessly integrate with databases, SaaS applications, APIs, and file systems—both structured and unstructured data sources.
Apply intelligent normalization, enrichment, and preprocessing with auto-harmonized schemas that create consistent, LLM-friendly formats across all your data sources.
Stream AI-ready datasets directly into vector databases, search indexes, and downstream AI agents with optimized formats for maximum performance.
Join enterprises who are accelerating their AI journey with Proximal Cloud Platform
