AI & ML Development Services and Engineers

Cost depends on scope, team size, and seniority. We bill dedicated teams monthly, with no ramp fees and no multi-year lock-in. For well-defined projects we offer fixed-price milestones once we understand the work in detail. For a quick range before a call, use our project cost estimator at codieshub.com/project-cost-estimation.

A focused MVP typically takes 4 to 8 weeks, and a full production application takes 3 to 5 months, depending on scope and integrations. Larger first releases take longer: we shipped the PetScreening MVP in under 5 months, and it went on to reach 21% month-over-month growth. We start with a scoping phase that defines the smallest product worth launching, then ship in short iterations so you see working software early.

We work as an integrated extension of your product team, not a vendor. Our senior engineers join your standups, tools, and code review, and you get written status updates every week. Engineers stay dedicated to your engagement for its duration. If priorities shift, we reshape the team with your input.

Yes. Codieshub holds SOC 2 Type II certification. Every engagement follows access controls, code review by senior leads, and documented handling of client data and credentials. For regulated work we have maintained 99.9% uptime on healthcare platforms. We can share our security documentation and sign your NDA before any code or data changes hands.

Yes. Our team works hours that overlap your US or UK day, so standups, design reviews, and pairing happen live rather than over overnight handoffs. We agree the overlap window with you at kickoff based on where your team sits, and keep a consistent point of contact for day-to-day decisions.

You do. All source code, designs, and documentation we produce for you belong to your company, and our contracts assign IP to you. Code lives in your repositories from day one, so you have full access at every stage. If the engagement ends, you keep everything with no handover fees.

We choose the stack to fit your product. On the frontend we use React, Next.js, Vue.js, Angular, and TypeScript. Backends run on Node.js, Python, and Go, with PostgreSQL, MongoDB, and Redis. Mobile apps use Flutter and React Native. AI work uses TensorFlow, PyTorch, OpenAI APIs, and LangChain, deployed on AWS, Azure, or Google Cloud.

We work with startups and enterprises across healthcare, fintech, education, real estate, logistics, e-commerce, and blockchain. Since 2012 we have delivered 150+ web platforms and published 80+ mobile apps. Examples include PetScreening in PropTech, Kapital Bank and Dot Drive in fintech, mPATH Health in healthcare, and Rodeo, a Shopify app with 1,000+ installs.