The pitch sounds almost too simple. Type what you want to sell into a text box. Wait two minutes—maybe less. Out comes a fully functioning online store, complete with product images, marketing copy, and payment processing ready to go.
This is Amboras, and the two brothers behind it think they've found a way to make launching an online business as easy as writing a sentence. Amin and Imad Mokadem, who studied computer science and mechanical engineering respectively at ETH Zurich, describe their creation as "the first AI-native shop system"—not a bolt-on tool for existing platforms, but a wholesale alternative to Shopify where artificial intelligence handles nearly everything.
Whether that claim holds up matters less, perhaps, than the ambition it signals. The Mokadems are part of Y Combinator's Spring 2026 cohort, and they're moving fast. Their platform didn't exist in its current form until recently; it started life as something far narrower, a chat interface for editing Shopify themes. Now it's positioning itself as a complete replacement for the incumbent.
The broader question is whether merchants—people whose livelihoods depend on their online stores—will trust a newcomer to handle inventory, payments, customer data, and everything else that keeps an e-commerce business running.
What Amboras Actually Does
Strip away the AI marketing language and you find a full e-commerce backend: product catalogs, order processing, inventory management, shipping logistics, customer databases. The difference is that an AI assistant sits inside every page of the admin dashboard, ready to execute commands.
Need to process a refund? Ask the assistant. Want to generate new product photos? Same. According to the company, the system doesn't just answer questions—it acts. It can re-fulfill orders, update pricing, create promotional campaigns.
The platform handles 125+ payment methods through Stripe Connect, with Apple Pay and Google Pay enabled automatically. Multi-currency transactions work out of the box. There are B2B features too: customer-specific pricing, gated product catalogs, net-terms invoicing for wholesale buyers.
What's striking is the pace of development. Between late April and early May, Amboras integrated Klaviyo for email marketing, Meta Pixel for ad tracking, Shippo for shipping labels, and launched a sales analytics dashboard. The company's changelog mentions a plugin marketplace that reached 150 integrations by April 25, 2026, though finding that catalog on the public site proves difficult.
Building Stores by Describing Them
The core promise is speed. Merchants describe what they want to sell, and Amboras generates everything: branding, product descriptions, images, promotional banners. The system then publishes the store live. For existing businesses on Shopify, BigCommerce, or WooCommerce, the company promises migrations within 48 hours, preserving URL structures and SEO rankings.
Once a store exists, merchants can use what Amboras calls "Generative A/B Testing"—prompting the AI to create multiple storefront variations and deploying whichever performs best. There's AI-powered image enhancement for product photography. SEO tools with structured data markup, including review counts in JSON-LD format. Email campaigns generated from the merchant's own domain, rather than a third-party service.
Analytics run on first-party data, tracking sessions and revenue without external pixels (though Meta and Google tracking can be added if needed). Product pages include reviews and Q&A sections with AI-generated summaries.
The company cites a 31% median conversion lift over four weeks, drawn from a cohort that ran between July and September 2025. That data, it's worth noting, predates the current version of the product by several months.
From Theme Editor to Platform Play
The transformation happened fast—maybe faster than the founders expected.
Amboras began as EcomCoder, an AI-powered theme editor for Shopify stores. Merchants could modify Liquid templates, CSS, and HTML through a chat interface. It was a validation layer, essentially, between Shopify's API and conversational AI. Narrow scope, clear use case.
Then came Y Combinator. Founder Imad Mokadem posted on LinkedIn in late April announcing that he and his brother were joining the accelerator with a product that "puts your entire e-commerce on autopilot." The rebrand from EcomCoder arrived in April 2026. The company's Terms of Service, last updated in January, still reference the Shopify-focused tool—evidence of how quickly things expanded.
The origin story has that familiar startup ring to it. The brothers, according to the company's About page, previously ran their own direct-to-consumer brand, scaling it to six figures in monthly recurring revenue. They built Amboras, they say, because it was the platform they wished had existed when they were running that business.
Amin studied computer science at ETH Zurich. Imad studied mechanical engineering. Four people work at the company now, per Y Combinator's directory, and they're hiring engineers and designers in San Francisco.
Pricing That's Still Being Figured Out
The pricing page lists two main tiers: Launch at $49 per month and Grow at $99, plus a custom Enterprise option. But there's a discrepancy. The May 9 changelog announces new pricing at $19 and $49 monthly, which doesn't match what's currently live. The company appears to still be iterating on its business model—not unusual for an early-stage startup, but worth noting.
Migrations are free on paid plans, and the company guarantees most finish within 48 hours. New stores go live within 24 hours, or Amboras builds them with you. If no sale happens in the first 30 days on a Launch or Grow plan, the company refunds everything.
Enterprise customers get SOC 2 compliance, a 99.9% uptime SLA, white-label options, single sign-on, and audit logs. The infrastructure runs on Fly.io, Vercel, and Supabase, with Anthropic and OpenAI handling the AI features, according to the recently updated privacy policy. A public status page tracks uptime for those dependencies.
A Crowded Moment for AI Commerce
Amboras isn't alone in chasing this vision. Runner AI announced its "autonomous ecommerce engine" in early April. Shoplazza unveiled an "AI-native commerce operating system" later that month. IBM, CommerceIQ, and Doba all launched agent-based commerce products in the first quarter of the year.
Even Shopify—the platform Amboras explicitly positions itself against—has been shipping AI features. Sidekick helps with store management. The company joined the Universal Commerce Protocol, enabling AI-agent checkout.
The common thread running through all these products is what the industry calls agentic commerce: systems where AI doesn't just assist but acts autonomously. Imad Mokadem hinted at this trajectory in his LinkedIn post: "Today it sells to humans. Tomorrow it sells to AI agents."
What We Don't Know
Funding details remain murky beyond Y Combinator's participation. Dealroom lists a $125,000 seed round from March, which would align with standard YC deal terms. But Amboras hasn't confirmed specific numbers publicly.
Traction is similarly opaque. The homepage claims "thousands of entrepreneurs" use the platform. An examples gallery showcases 18 demo stores across different categories—furniture, cosmetics, electronics. Without third-party validation or company-released metrics, it's hard to assess actual adoption.
The promise Amboras makes is seductive: one system instead of a dozen. No more stitching together a CMS, a theme builder, an email tool, an analytics platform, advertising pixels, review apps. Just one AI-driven backend handling everything.
But trust is hard-earned in e-commerce. Merchants don't just need a platform that works—they need one that won't disappear, that can scale as they scale, that won't lose their customer data or botch their inventory during a holiday rush. The Mokadems are betting that AI-first architecture will matter more than Shopify's decade-plus head start and ecosystem of apps and agencies.
It's a big bet. We'll know soon enough whether it pays off.
