Platform capabilities for organizations that need governed, searchable, and AI-ready data.
MyWaypoint is a platform-led managed service: the refinery technology provides the repeatable pipeline, while deployments are configured around each customer's sources, governance requirements, and desired outputs. Each capability below can be engaged independently or as a complete end-to-end pipeline.
How the refinery worksFrom any source type to clean, enriched records.
Submit documents, files, or data in any format — PDFs, Word documents, CSV, JSON, HTML — and the refinery transforms them into consistent, enriched, deduplicated, and analysis-ready records. The pipeline handles irregular inputs, missing fields, and fragmented structures. Every record exits with standardized schema, enriched metadata, and full provenance attached.
Designed for organizations with internal documents, proprietary data, or multi-source environments that require standardization before use.
Searchable knowledge with full lineage and attribution.
Build internal knowledge bases, enterprise search systems, and AI knowledge layers on top of refined data. Every record carries source attribution, transformation history, and semantic context — making knowledge searchable and every result verifiable. Governance is structural, not manual: it is maintained as part of the pipeline, not applied once and abandoned.
Designed for internal document search, AI knowledge grounding, institutional memory systems, and compliance-driven knowledge environments.
Structured, consistent data delivery for applications.
Governed, normalized data delivered through high-performance API endpoints and structured dataset packages. Consistent schemas, rich metadata, and context-aware results through a secure, scalable interface built for enterprise integration. Applications receive predictable structures on every request — no format drift, no undocumented changes.
Designed for enterprise applications, analytics platforms, data pipelines, and AI systems that need reliable, normalized data delivered on demand.
Semantic search and grounded AI retrieval.
Semantic search and retrieval-augmented generation (RAG) capabilities built on refined, governed datasets. Vector embeddings, metadata indexing, and context-aware retrieval enable intelligent search and grounded AI responses across your data — with source attribution on every result. AI systems retrieve validated, governed content rather than raw, unverified information.
Designed for enterprise search, AI grounding, internal knowledge bases, and any application requiring accurate, context-rich retrieval.
Whether you're building an internal knowledge base, an AI grounding layer, or a governed data pipeline, we can discuss what the refinery does for your environment.
