Corvic AICorvic AI

For data engineers

Pipelines you can read, that stay fresh on their own

Describe the pipeline in a sentence. Corvic plans the nodes and writes the SQL and Python, you review it, then it runs on your schedule with lineage on every table.

Accounts are free. No credit card needed.

Or try the pipeline canvas
Built forData engineersAnalytics engineersData platform teamsETL developers

The problem

You're the bottleneck for every data question

Every team wants data from a different system, in a different shape, by Monday. Most of it is the same plumbing written again.

01

A queue of one-off requests

Finance wants a new join, sales wants a fresh export, ops wants a weekly table. Each ticket is small, and together they crowd out the platform work.

02

Glue code nobody wants to own

Connectors, dedupe logic and schedules spread across scripts and cron jobs. When one breaks, only the person who wrote it knows why.

03

Documents don't fit the warehouse

Contracts, PDFs and scanned forms hold the fields people ask about. Getting them into typed columns usually means a separate project.

What you build

The pipelines you'd write anyway, without the boilerplate

Each one is a canvas of nodes. Open any node to read and edit the code it runs.

Warehouse sync

Pull from PostgreSQL, MySQL or MongoDB, dedupe and type the rows, and land them in Snowflake, BigQuery, Databricks or Redshift.

OutputA scheduled table with run history and lineage

Cross-system joins

Reconcile Salesforce accounts with Stripe customers and support tickets, even when the records share no clean key.

OutputOne joined table, with fuzzy matches flagged for review

Documents into columns

Read contracts, invoices and scanned forms from S3 or Google Drive with layout-aware OCR and extract the fields you name.

OutputTyped columns, each value linked to the page it came from

AI enrichment

Classify, score or summarize row by row with the model you pick, so the warehouse holds the labels the business keeps asking for.

OutputNew columns that cite the source fields they used

Retrieval-ready indexes

Chunk, embed and index documents and tables so agents can search them, or resolve entities into a graph they can traverse.

OutputA vector index or knowledge graph agents query directly

Published data products

Hand a governed table to the analysts and business teams who asked for it. They build apps and playbooks on top without another ticket.

OutputA table, live web app or playbook other teams reuse

Try it

The real pipeline canvas, on sample data

Click Run, open a node, read the generated code, or ask the agent for a different pipeline.

How it works

From a sentence to a scheduled pipeline

You stay in control of the code. Corvic does the wiring.

  1. 1

    Connect your sources

    Point Corvic at a warehouse, database, SaaS app or bucket. 220+ sources, no export step.

  2. 2

    Describe it, then review the code

    Say what the output should be. The agent plans the nodes and writes SQL or Python you can open, edit and version.

  3. 3

    Schedule and publish

    Tables refresh on your cadence and every run keeps its lineage. Publish the result for other teams to build on.

Connects toSnowflakeSnowflakeDatabricksDatabricksBigQueryBigQueryPostgreSQLPostgreSQLAWS S3AWS S3SalesforceSalesforceKafkaKafkaGoogle DriveGoogle Drive

Built with other teams

You set it up once, every team builds on it

The tables you publish become the ground every other role works on, with the access rules you set.

Analysts build web apps

Live dashboards and internal tools on the tables you publish, without exporting a CSV.

Business teams run playbooks

Recurring reports and checks that run on your pipelines' latest output.

AI engineers ship agents

Agents that query your tables and indexes, scoped to the sources they're allowed to read.

Security

Passes the review your platform team will run

Corvic reads from the systems you already govern. Here is what goes in the vendor file.

SOC 2 Type II

Corvic holds a SOC 2 Type II report. Ask for it during your vendor review.

Private VPC deployment

Deploy Corvic in a private VPC. Tenants are isolated from each other.

Your keys, encrypted data

Customer-dedicated key management. AES-256 encryption at rest and TLS 1.2+ in transit.

Access per person and per source

Permissions are scoped per person and per source, so people and agents only see what they're cleared for.

Zero-retention model options

Choose models with zero-data-retention options where the provider supports it, and swap them in config.

SSO and removal on demand

Sign in with SSO. Corvic is GDPR and CCPA compliant, and your data can be removed on demand.

Common questions

What data engineers ask before a pilot

No. Every node on the canvas is SQL or Python you can open, read and edit before it runs. The agent drafts it, and you decide what ships.

No. Corvic reads from and writes to the warehouses, databases and buckets you already run. Keep the stack, and use Corvic for the pipelines and the AI steps around it.

Every run keeps its lineage, so you can trace a table back to the nodes and sources that produced it. Open the node that failed to read its code and its output.

They work on the tables you publish, with the permissions you set. Building an app or playbook on a table doesn't change the pipeline behind it.

Build your first pipeline on your own data

Connect a source, describe the output, and review the code before it runs. Free to start, no credit card.

Accounts are free. No credit card needed.

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