Messy data is the silent killer of great products. We’ve all seen it. The products.csv with a category column that’s 40% NULL. The user table where location is a chaotic mix of “USA”, “United States”, and “US”. The image assets for your media library with no alt text, no tags, and no hope of being discovered through search. We’ve introduced the solution.

October 7, 2025

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4

min read

This isn’t just a data team problem; it’s a product-killing disease. This messy, incomplete data is a form of tech debt that directly impacts the user experience. It’s why your search filters are inconsistent, your recommendation models underperform, and your analytics dashboards are a minefield of lies.

The traditional fix is a painful, multi-step process: file a ticket with the data engineering team, wait two sprints for them to build a custom ETL script, and hope the cleanup job doesn’t break something else. Or worse, you export a CSV and spend a miserable afternoon manually cleaning it in a spreadsheet.

There is now a better way.

Introducing Shaped Generative Data Enrichment

We’re excited to launch Shaped Generative Enrichment, a free, AI-powered tool that turns messy, incomplete data into the clean, enriched, and ready-to-use datasets you’ve always dreamed of.

It’s designed to be the fastest way to fix your data. You connect a source (like a CSV, a database, or an API), tell our AI what you want to fix in plain English, and get a clean, enriched dataset back. No complex data pipelines, no heavy engineering, no waiting in the backlog. You can check out the docs here.

From Messy Data to Business Impact, Instantly

Think about the data pipelines, dashboards, and systems you work with every day. Enrichment is designed to remove the universal bottleneck of messy, inconsistent data, allowing any team to move faster and build better.

Here’s how Enrichment drives immediate impact across the organization:

For E-commerce & Marketplace Teams

You have thousands of product listings with missing attributes, chaotic capitalization, and inconsistent titles.‍

• Before: Your “Brand” filter is a mess (“Nike”, “nike”, “Nike, Inc.”), search is unreliable, and users can’t find what they want.‍
• With Enrichment: Anyone on the team can write a prompt like “Standardize the brand field to its official company name” and instantly get a clean catalog. You can even use it to auto-tag product images with attributes like style, color, and material, dramatically improving discoverability without manual effort.

For Media & Content Platforms

You have a huge back-catalog of videos and podcasts with no metadata.

• ‍Before: Your content is invisible to search engines and on-site discovery is poor.‍
• With Enrichment: You can automatically generate SEO-friendly summaries, captions, and tags for your entire library, unlocking massive organic traffic and giving your users better ways to find the content they love.

For Analytics & Ops Teams

Your dashboards are broken, and your reports are unreliable because of inconsistent source data.

• ‍Before: You spend hours in SQL or spreadsheets trying to COALESCE and CASE WHEN your way to a clean report, delaying critical insights.‍
• With Enrichment: You can instantly backfill historical data, normalize inconsistent values across datasets, and eliminate the cleanup bottlenecks that slow down your entire organization.

‍For Engineering & Data Teams

You’re constantly being pulled away from strategic projects to build and maintain brittle, one-off data cleaning scripts.

• ‍Before: A simple request to “standardize the country column” turns into a multi-day data pipeline project.‍
• With Enrichment: You can empower your business stakeholders to clean their own data with simple AI prompts, freeing you up to focus on building core infrastructure and products, not data janitorial work.

For Trust & Safety Teams

You need to quickly validate and moderate user-generated content and listings.

• ‍Before: Manual review queues are slow and expensive.‍
• With Enrichment: You can use AI to validate user-submitted tags against model-generated ones or provide signals to flag spammy, duplicate, or low-quality entries, streamlining your entire moderation workflow.

Why Teams are Adopting Generative Enrichment Already

We built this tool because we’ve lived this pain. Here’s why it’s becoming a no-brainer for product and data teams:

• It’s Plug-and-Play: Connect your data, configure your enrichment job once (using simple AI prompts or SQL), and get clean datasets back.
• It’s Multi-modal: It works on text, images, or both. You can generate a product description from an image, or tag an image based on its title.
• It’s Accessible to Everyone: You don’t need to be an engineer. If you can write a prompt, you can clean your data. It’s built for product, data, ops, and growth teams.
• It’s Transparent: You get full logging of every request, token usage, and the results, so you’re always in control.
• It’s Free Forever: This isn’t a trial. Shaped Generative Enrichment is a powerful, free tool with a generous monthly limit. We believe cleaning your data is a fundamental right, and there should be zero friction to getting started. Most teams spend hours or weeks wrestling with messy data. That time is a tax on innovation. Shaped Generative Enrichment fixes this instantly. Connect your data, and let AI fill in the gaps.

Ready to drain your data swamp? It’s free to get started.Try Shaped Generative Enrichment today.

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