SOLUTIONS
Real work, on one database.
Each of these runs end to end in the same cluster, from raw rows to an answer a person can check.
FINANCE AND AUDIT
Find the invoices worth a second look.
Train a model on past invoices, then let the graph show how flagged vendors connect to people and bank accounts. Audit notes and records answer from the same place.
- Risk scores from amounts, purchase orders and approvals
- Relationship paths such as vendor, bank account, employee
- Every answer cites the rows or documents behind it
Solutions: invoice anomaly detection1400 x 1000 pxDelete this block and drop in an Image or Video widget
Solutions: churn model and scoring1400 x 1000 pxDelete this block and drop in an Image or Video widget
PREDICTIVE MODELS
Ship a model without leaving the database.
Train on a table, read plain-language health checks, promote a version and write scores back to a table that dashboards already query.
- Leakage and calibration warnings before you promote
- Drift-gated retraining on a schedule
- Scores land in ordinary tables
KNOWLEDGE ASSISTANTS
Answer questions from your own documents.
Documents are chunked and embedded as they arrive. Hybrid retrieval finds the passage, and an agent writes the answer with sources you can open.
- Dense and keyword ranking fused in one call
- Run against a local model when data must stay put
- Step-by-step traces and cost per run
Solutions: knowledge assistant with sources1400 x 1000 pxDelete this block and drop in an Image or Video widget
Bring a table and a question.
Start with the one-command stack and the sample data, then point it at your own.