Ingestro

O que é Ingestro?

Ingestro helps software teams bring customer files from external sources into their products. Embed the Data Importer SDK for user-led uploads, or use Data Pipelines for scheduled and event-triggered imports from connected sources. Both workflows map incoming data to a target schema and provide validation and cleaning steps before delivery.

The Data Importer supports spreadsheet and document formats including CSV, Excel, PDF, XML, and JSON, with a white-label interface for customer-facing uploads. Data Pipelines connect file sources to a destination, run recurring or event-triggered jobs, and let teams review executions and address failed runs. Ingestro is the current name for nuvo’s data-import software; Data Importer and Data Pipelines continue under the Ingestro brand.

O que Ingestro pode fazer?

Embed a branded data importer

Add the Data Importer to a web application so customers can upload files through a self-service interface styled for your product.

Match columns to a target schema

AI-assisted mapping matches incoming file columns to the target data model you define for your application.

Validate, clean, and transform records

Configure validation rules, cleaning functions, and callbacks to check and transform imported records, including column merges or splits, joined sheets, and nested data.

Automate recurring file pipelines

Connect file sources and destinations, then run imports on a schedule or trigger a job when a customer sends a file through email or HTTP(S).

Monitor pipeline executions

Review pipeline runs, address a failed execution with a one-time fix, or update the configuration for future runs.

Choose how customers work with pipelines

Manage pipelines in the Ingestro user platform, embed white-label interface components, or use the API to design workflows and dashboards.

Casos de uso

“Let customers onboard their own data”

Embed an importer in a SaaS product so customers can upload spreadsheets or other files and map them into the product’s target structure.

“Automate recurring file intake”

Schedule imports from file storage or process them when customers send a file by email or HTTP(S).

“Reduce custom import work for implementation teams”

Define target data models, validation rules, and cleaning steps for customer files instead of handling each format through separate manual import routines.

Perguntas frequentes

Which file formats and sources can Ingestro handle?

The Data Importer accepts CSV, Excel, PDF, XML, JSON, and other formats. Data Pipelines also handles TSV files and connects to (S)FTP, HTTP(S), AWS S3, Azure Blob Storage, Google Cloud Storage, or email.

Can Ingestro be embedded in my product?

A software team integrates the Data Importer SDK into its application so customers can upload files through a self-service interface. Data Pipelines can be managed in Ingestro’s user platform, through embedded interface components, or with the API.

How does Ingestro map and clean imported data?

AI-assisted mapping matches incoming columns to the target structure. Teams can configure validation rules and cleaning functions, then review pipeline executions and correct failed runs or update settings for later runs.

How do pricing and the trial work?

Paid plans combine a monthly base rate with usage charges based on completed imports made with a production license key. A 14-day free trial is available through sales or email or GitHub sign-up; development-license imports and testing-key activity are free.