Tealith Cloud · AI · Data
Enterprise data for analytics and AI.
Connect fragmented systems and build a data foundation that supports analysis, governance and AI applications.
Data integration and pipelines
Map business systems, databases, SaaS sources and events. Define ingestion frequency, transformations and quality checks so data reaches its destination in a usable form.
Lakehouse and analytics platforms
Select a lake, warehouse or lakehouse approach around reporting, batch processing and real-time requirements. Connect platform design to your teams’ analytical workflows.
Governance and access
Establish ownership, catalogs, lineage and quality expectations. Define access controls and handling rules for sensitive data as part of platform design.
Knowledge bases and RAG
For AI applications, plan document ingestion, indexing, vector retrieval and evaluation. Keep source permissions and updates connected to the knowledge pipeline so retrieved context stays useful.