Lasso
A new kind of PIM for eCommerce. Built for the AI era.
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Jiri Stepanek

Lasso - A new kind of PIM for eCommerce. Built for the AI era.

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In 2026, AI raised the bar for product data everywhere. Companies are racing to stay visible in AI search and capture the promised efficiency gains. Lasso lets you run thousands of specialized AI agents across your catalog. Automatically enriching parameters, processing supplier data, monitoring competitors — at a scale no human team can match.

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Jiri Stepanek
Maker
📌
Hey Product Hunt! 👋 Jiri here, co-founder of Lasso. We started out as a classic AI agency - building custom solutions for ecommerce clients across CEE. And over and over, we kept seeing the same problem: teams wasting hours copy-pasting product specs, writing descriptions manually, wrestling with messy supplier data. It was everywhere. So we stopped taking new agency projects and built the tool we kept wishing existed. Lasso is AI-powered product data enrichment - it takes your raw or incomplete product data and automatically fills in missing attributes, rewrites descriptions for SEO and tone, classifies products into the right categories, and outputs clean, structured data ready for your PIM or feed. It's built for: - eCommerce managers drowning in catalog ops work - Agencies handling product data for multiple clients - Anyone migrating catalogs or onboarding new supplier feeds - Developers and AI teams - we're actively working on a full API and MCP support, so if you need product data in your agents or automated pipelines, Lasso will plug right in For the PH community: Lasso is freemium - get started for free, and if you want to go further, we're giving the PH community 20% off any paid plan. Just use "producthunt" when it asks you for gift code. What I'd love most from you today is feedback. Specifically: - Does the value prop land clearly? - If you’re building agents or automations around product data, what would you need from an API/MCP integration? Drop your thoughts below. Brutal honesty is very welcome. 🙏
Krystof Mitka
Maker

@jiri_stepanek For every up vote we all do 10 push ups in the office!

Jiri Stepanek
Maker

@krystof_mitka2 whose idea was that??

Václav Hlaváč

Congrats on the launch. Is this fully web based? :)

Jiri Stepanek
Maker

@vaclav_hlavac1 Thanks! Fully web based. Heavy use of UI virtualization means big catalogs stay snappy (better than most native ERP grids), and AI enrichment cuts work that took days down to minutes.. :)

Michal Najman

Really like this one. Product data enrichment is one of those unsexy categories where the pain is enormous but nobody wants to talk about it at parties. hours lost to copy-paste, messy supplier feeds, descriptions written from scratch over and over. Solving it well is genuinely valuable.

Congrats on the launch, Jiri.

Jiri Stepanek
Maker

@michal_najman Thanks Michal! "Unsexy category, enormous pain" is basically our pitch deck in one line. Appreciate the kind words.

Dominik Dvořáček
💎 Pixel perfection

Tested this on a sample catalog and the normalization + enrichment pipeline worked better than expected. Especially on inconsistent attribute structures.