Gorilli, AI-native product company & software partner
We build and operate our own products, and partner with startups and enterprises to launch and scale production-grade AI, Web3, and full-stack software.
Our Belief
Great technology is not complexity, it is the shortest path from idea to solution that works. We build products and platforms that move businesses forward.
Every project starts with a simple question: what problem do we want to solve? From there we define architecture, execution and the kind of technology that still scales for years to come.
How we work
Gorilli is an AI-native product company and software engineering partner. We create and operate proprietary ventures, while bringing the same founder-led product mindset to software we build for clients.
Gorilli products
We conceive, build, launch, and operate technology products ourselves—putting our own capital, users, and reputation behind the decisions we make.
Client partnerships
We work with startups and enterprises from discovery and architecture through engineering, launch, and continuous scaling.
MCP engineering
We design and implement Model Context Protocol servers that connect AI agents to your existing APIs, databases, SaaS platforms, and internal tools—without rebuilding your stack.
Explore MCP developmentProprietary ventures and client partnerships spanning AI, Web3, SaaS, and full-stack product engineering.
Companies and teams we have partnered with to build and ship great products.
Insights
Recent thinking from Gorilli on AI-native products, full-stack engineering, and startup building.
How to design, secure, test, and roll out an MCP server around the systems your company already uses, with a production-focused readiness checklist.
Read postCome progettare, proteggere, testare e rilasciare un server MCP sopra i sistemi che l'azienda usa già, con una checklist pronta per la produzione.
Read postWhat to clarify before the first call with a software company: problem, goal, data, the role of AI, constraints and metrics, with the 11 questions we use in discovery.
Read postA practical checklist for evaluating an AI software house in Italy: capabilities, process, data strategy, security, roadmap ownership, and the questions to ask before starting.
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