In-house AI means hiring your own engineers to build, train, and maintain AI systems internally. For most US startups, outsourcing is more capital-efficient unless AI is the core product.
Building AI in-house typically costs $300K-$600K+ per year when you factor in salaries, benefits, infrastructure, and tooling. Outsourcing offers significantly lower upfront capital commitment and more predictable costs.
An experienced AI agency can deliver a production-ready AI feature in 4-12 weeks, depending on complexity. For startups with fundraising timelines and investor milestones, outsourcing is the faster path to demo-ready AI.
IP ownership depends entirely on your contract. A reputable AI agency should transfer full IP — including model weights, training data, and deployment code — to you on project completion.
