Clean Data Services
Turn Your Information Into Reliable Outputs
We transform scattered internal knowledge into governed, structured datasets that stay clean, secure, and consistent across the enterprise.
Data Normalization + Schema Design
Unify part attributes, BOMs, and technical specs into clean schemas with consistent units, taxonomy, and validation rules.
Entity Resolution + Deduplication
Resolve duplicates across PLM, ERP, and supplier data to ensure a single source of truth for parts, vendors, and revisions.
Database Monitoriting
Capture provenance, approvals, and revision history so every AI response can cite the source and confidence level.
Security + Access Controls
Apply your desired controls to keep sensitive data protected while enabling the right teams to move fast.
Database Pipeline
Our proprietary database pipeline is a uniquely engineered system; something most AI platforms don’t offer. It automates the entire databasing workflow end-to-end, delivering a cleaner, more trackable knowledge base that produces more precise and reliable AI responses. We support fully dynamic sources, fully static uploads, and every workflow in between, including automated refreshes for tracked URLs, file discovery, and managed upload pipelines, keeping your knowledge current, controlled, and secure.
- Document lifecycle tracking with status, revisions, and audit metadata.
- Chunk-level indexing for fast retrieval with citations and summaries.
- Automated indexing/updates when sources change.
- Cross-tenant safeguards, encryption boundaries, and data isolation.
Clean Data Outcomes
- Lower hallucinations by grounding AI in validated, structured sources.
- Faster engineering answers with verified specs and citations.
- Improved search relevance across catalogs, datasheets, and compliance data.
- Foundation for customer-facing AI that stays consistent across teams.