Describe the pipeline. Watch it build itself.
Corvic turns a sentence into a running data pipeline — connectors, transforms, AI enrichment, then a queryable table or a live app at the end — and keeps it fresh on a schedule.
Everything a pipeline needs, in one canvas
Ingest, reshape, enrich, publish. Every step is a node you can open, read and edit.
Connect anything
220+ sources — warehouses, SaaS apps, object stores, sheets, PDFs.
Read unstructured data
Layout-aware OCR turns scanned contracts into typed columns.
Join across systems
Fuzzy and windowed joins reconcile records that share no key.
Enrich with AI
Score, classify and summarize row by row, each column citing its sources.
Drop into SQL or Python
Every node is real code you can open, edit and version.
Embed and index
Clause-level vectors, so the agent quotes the exact paragraph.
Build a graph
Entities resolved across sources into one graph the agent can traverse.
Agentic transforms
Hand a step to an agent, then read back the plan it ran.
Publish and reuse
Outputs land as tables, live apps, or playbooks you re-run next quarter.
How a pipeline gets built
- 1
Connect a source
Point Corvic at a warehouse, an app or a folder. No export step.
- 2
Describe the outcome
Say it in a sentence. The agent plans the nodes and writes the code.
- 3
Put it on a schedule
Tables refresh on your cadence, and every run keeps its lineage.
Try it yourself
This is the real canvas, on sample data. Click Run, open a node, read the generated code, or ask it for a different pipeline.