Two different ways to handle product specs. Compare how Outfindo and Lasso enhance product data with AI to find the best solution for your business needs.
Both Outfindo and Lasso use AI agents to turn incomplete product data into complete product listings. They sit at different points in the same pipeline, and they hand you very different things at the end of it. Three differences decide which one fits your catalog.
Lasso turns raw supplier files – PDFs, Excel dumps, CSVs with non-standard columns – into structured records inside a workspace your team runs.
Outfindo starts from your feed and your own product pages, cross-verifies against the open web, and hands back finished content. There is no workspace to operate.
Outfindo decides before generation. Our consumer research engine, maps how people actually shop a category, and that decides which attributes and which claims a PDP carries.
Lasso enriches the columns you define, using prompts it can auto-generate per column.
Lasso logs and traces its web fetches, then asks your team to review and approve before publishing. Outfindo attaches provenance to every value and an audit trace per SKU.
Two different meters, and the difference matters more than the numbers. Lasso charges for operations; Outfindo charges for finished SKUs.
Lasso's meter is transparent and cheap per operation. What it doesn't price is the part that actually takes time: deciding the schema, writing the prompt for each column, and reviewing what comes back. That work stays with your team on every plan, including Enterprise. Outfindo's per-SKU price is a different shape because it includes that work, the category research and the configuration are ours, not yours.
99
€/month
All you need for one category
599
€/month
Essential, plus advanced tools:
Talk to us
Ultimate customization & support:
€0.4 – €1.5 per SKU
At Outfindo, transparency is key.
€69 / 5,000 credits / month, billed annually
DIY approach.
Feature-by-Feature Comparison
Outfindo
Lasso
Features
Own consumer research (what customers actually care about)
Yes
No
Data standardization & normalization
Yes
Yes
Raw supplier file processing (PDF / Excel / CSV price lists)
No, we start from your feed and product pages
Yes
Per-value source provenance, auditable per SKU
Yes, every value links to the page it came from
Partial, audit log and trace on web fetches
Consumer-research-driven attribute prioritisation
Yes
No
AI content generation
Yes
Yes
Spreadsheet-style editor
No (there is no need)
Yes
Seamless integration with PIM/E-commerce platforms
Yes
Yes
Customizable enrichment rules
Limited – enrichment relies on extensive customer behaviour analysis
Yes – enrichment relies on business prompts
Scalability
Designed for high volume, real-time enrichment
Depends on human capacity
MCP endpoint for AI agents
Yes
No
Human-in-the-loop workflow (expert review of enriched data)
Seamless, hands-off experience
Essential, manual approval required for most changes
Real-time data updates
Yes
Yes
GDPR/CCPA compliance
Yes, with built-in data privacy features
Yes
That's it. Everything in between? That's our business! Outfindo is best suited for businesses who want:
Just upload your product feed, and our AI agent instantly aligns your products to your customers' needs. You'll have a solution ready to deliver personalized shopping experiences within minutes.
We handle it all – from matching your products with insightful questions based on customer data, to ensuring every customer interaction effortlessly leads to the ideal choice.
Outfindo is intuitive, quick to set up, and completely hassle-free. Try the free trial and see firsthand how seamlessly it improves your customers' shopping journey.
Both Outfindo and Lasso use AI agents to complete product data, but their approaches differ significantly.
Lasso gives your team a fast, well-built tool. Raw supplier files go in (PDFs, Excel, CSVs in mixed languages), and a fleet of agents extracts, unifies, and maps them to a schema you reuse across suppliers. Your team works on the result in a spreadsheet-style editor with live collaboration, approves in bulk, and pushes to Shopify, Magento, or an API. You keep control of every decision, and you keep the work: the schema, the per-column prompts, and the review. It's a strong answer to a messy inbox, priced per operation.
Outfindo runs two proprietary agents. One analyzes real consumer-generated content in a category and produces what a data model can't invent: buyer goals, profiles, and the sourced constraints that say when a product should not be recommended. The second one then takes your feed, reads your product pages, and cross-verifies against manufacturers, datasheets, and forums, merging everything into a single value per parameter per SKU, each carrying provenance.
The output isn't a filled spreadsheet. It's finished content, rendered to four surfaces at once: the visible product page, your Google Merchant Center conversational attributes, on-page schema.org, and an MCP endpoint agents can call. You upload a feed and get content back. This is for retailers who want the outcome, not another tool for staff.
Creating effective product data enrichment means delivering the information customers are looking for in a way they understand, so they can confidently purchase. Outfindo combines customer behavior insights with comprehensive product knowledge to ensure your product data is both accurate and meaningful. How exactly do we achieve this?
An optimized research-driven guidance flow. Beacon dives into customer insights, uncovering patterns in decision-making processes across any product category, crafting a guidance flow that will optimize the customer journey from inquiry to purchase.
Automated customer behaviour analysis
Key topics, insights and needs
The right question for guidance
Forget managing product data manually! Diver, guided by Beacon, plunges into deep data depths, pulling out product specs in real time—straight from the manufacturers—and giving them a nice polish. That means your product descriptions are always up to date, enhanced, and human. All that time you sunk copy-pasting can now be used to help your customers make informed decisions. Your customers will thank you.
Automated product identification
Autonomous manufactured data gathering
AI enhanced product data
