Privacy-First Data Ingestion for SaaS
Stop turning customer uploads into a compliance and support nightmare.
RowOps lets your users import, validate, and fix their data inside their browser so you can ship onboarding that works without building ingestion servers or storing raw files you don’t want to own.
Who This Is For
- SaaS founders who want onboarding that doesn’t break at scale
- Product & platform teams tired of brittle import pipelines
- Companies handling PII that want to reduce data exposure by default
If users upload files into your product, this problem is already yours.
The Problem With Traditional Data Ingestion
Most SaaS products still treat data ingestion like this:
- Upload file to your backend
- Parse and validate on the server
- Store raw data “temporarily”
- Fail on edge cases
- Escalate to support
This creates three predictable outcomes:
- Support tickets every time a file is slightly wrong
- Security and compliance risk from storing raw customer data
- Engineering drag maintaining ingestion code no one wants to own
The more customers you onboard, the worse this gets.
The RowOps Approach
RowOps flips the model.
Instead of pulling raw files into your infrastructure, you let users prepare their data before it ever hits your backend.
- Files are parsed and validated in the browser
- Errors are shown immediately, with clear fixes
- Only clean, structured rows are exported
- You control exactly what gets sent downstream
This is what we mean by privacy-first ingestion.
What “Privacy-First” Actually Means
Privacy-first is not a badge. It’s an architectural choice.
With RowOps:
- You don’t need to store raw uploads to make imports usable
- Users can correct mistakes without exposing data to your servers
- Sensitive fields can be validated or transformed before export
- Your backend receives clean data, not a guessing problem
You reduce liability and improve reliability at the same time.
Key Capabilities (Outcome-Driven)
- Self-serve data cleanup Users fix their own files instead of emailing support.
- Clear, deterministic validation The same file produces the same result, every time.
- Handles large files gracefully No frozen tabs, no “try again later” UX.
- Schema-driven imports Enforce structure without custom backend logic.
- Reduced compliance surface area Don’t retain data you don’t need.
- Fits your product Embeddable, brandable, and designed to feel native.
How It Works (High Level)
RowOps runs the ingestion workflow directly in the browser:
- The user uploads a file
- Columns are mapped to your schema
- Validation errors appear instantly
- The user fixes issues in-place
- Clean rows are exported to your backend
You get reliable data without running an ingestion service.
(Technical details exist, but they don’t have to be your problem.)
Common Questions
Q: Do you store our customers’ raw files?
A: RowOps is designed so raw data can remain in the user’s environment. You decide what gets exported.
Q: Can we still send data to our backend?
A: Yes. Typically as validated rows, optionally chunked or streamed depending on your workflow.
Q: Is this only for security-sensitive companies?
A: No. Privacy-first ingestion reduces operational burden for any SaaS onboarding customer data.
Q: What file types are supported?
A: CSV and spreadsheet-style formats are first-class. (Link to docs for specifics.)
Q: What happens if a user uploads a very large file?
A: RowOps is built to handle large datasets without freezing the UI or crashing the session.
Q: How hard is integration?
A: You embed RowOps and receive clean data through callbacks. No ingestion backend required.
Ship data onboarding that doesn’t break.
Stop debugging CSVs. Stop storing files you don’t want.
Let users fix their data before it becomes your problem.