Problem

Manufacturers and distributors often receive supplier catalogs as incomplete spreadsheets, PDFs, or poorly structured web data. Rastro’s launch materials describe vendor files with roughly 30% missing data, inconsistent product identifiers, and blurry images, leaving catalog teams with labor-intensive cleanup and large backlogs. The economic pain is delayed time to market: products that could generate sales remain unavailable online, while manual catalog work scales poorly across thousands of SKUs and markets. The clearest use case is onboarding a new supplier or product line of 5,000 or more SKUs and turning it into launch-ready listings within the first month rather than leaving it in backlog.

Product / Service

Rastro is an AI catalog-operations platform for manufacturing, distribution, and retail teams. Users can provide a bare supplier list, reference numbers, prices, feeds, PDFs, or websites; Rastro finds product specifications and assets, fuzzy-matches items to existing records, fills missing attributes, maps products to standards such as ETIM, generates localized titles and descriptions, and produces channel-ready data with citations and quality review. The output can be exported to formats and systems including Akeneo, BMEcat, Salsify, Stibo, Syndigo, Shopify, and NetSuite.

The delivery model combines a web application with a REST API, connectors, webhooks, and white-glove onboarding. Rastro says teams can start with a 30-day pilot without engineering work, while enterprise plans include controls such as SSO and audit logs. Its stated pricing ranges from $500 per month for manufacturers with up to 1,000 SKUs to $2,000 per month for up to 10,000 SKUs; distributors pay a $1,000 monthly platform fee plus per-SKU enrichment, which the company says is typically two to three times cheaper than a product-data agency.

Market

Rastro operates in AI-powered product-information management, catalog enrichment, supplier onboarding, and product-data operations. Its customers are manufacturers, distributors, and multi-marketplace retailers that need to publish technically accurate product information at scale. The competitive set includes traditional PIM and commerce-data platforms such as Akeneo, Salsify, Stibo, and Syndigo, AI catalog-enrichment tools, and the agencies or internal teams that perform product-data cleanup manually. Rastro’s integrations position it as an automation layer that works with existing PIM and ERP infrastructure rather than requiring customers to replace those systems.

The company was founded in 2024, is listed by Y Combinator as an active Summer 2024 company, and identifies customers or case studies including Sunco, NY Tractor Parts, Un Amour de Tapis, and RelightDepot. PitchBook and Tracxn report $500,000 raised in one seed round, while a third-party estimate reported approximately $330,000 of 2025 revenue; the latter is not company-reported, so Rastro should be viewed as an early commercial company rather than pre-revenue. Its customer testimonials and paid pricing model indicate initial traction, although the available evidence does not establish a larger audited revenue, customer, or SKU figure.