AI-native commerce platform optimizing post-click shopping experiences
FERMÀT builds an AI-native commerce platform focused on post-click experience optimization for e-commerce brands. The stack spans Shopify, BigCommerce, and Salesforce integration layers with Go, Python, and TypeScript in the backend — a modern, microservices-oriented architecture suitable for scaling SaaS at mid-market. Active projects center on end-to-end platform integrations, observability tooling, and AI-powered automation workflows, while pain points cluster around integration lifecycle management and scaling client success — indicating the company is in the transition from product-led to services-assisted selling.
FERMÀT operates a post-click commerce optimization platform targeting e-commerce brands running paid traffic campaigns. The product sits between advertising platforms (Meta, Google) and e-commerce backends (Shopify, BigCommerce, Salesforce), enabling A/B testing, personalization, and conversion rate optimization at the landing-page layer. The company is based in San Francisco and spans 51–200 employees. Current operational focus includes building robust integrations with major e-commerce and CRM systems, establishing internal observability and automation frameworks, and developing enterprise deployment playbooks for AI-powered commerce use cases. Hiring velocity is accelerating with a concentration of senior engineers and product roles, supplemented by customer support expansion.
FERMÀT integrates with Shopify, BigCommerce, Salesforce, HubSpot, and Stripe. The platform specializes in post-click experience optimization across these major e-commerce and payment ecosystems.
FERMÀT's backend is built on Go and Python, with TypeScript and React for frontend. The platform runs on Docker and Kubernetes for orchestration and PostgreSQL for data persistence.
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