AI Development Services

A proof of concept usually takes 4–6 weeks. A full production system — including data engineering, model development, integration, and deployment — is typically 3–6 months. The single biggest variable is data readiness. If your training data is clean and well-labelled, timelines compress significantly. We'll give you an honest estimate after the discovery phase.

Engagements typically start around $15,000 for a proof of concept and range upward depending on complexity, data volume, and integration requirements. For full production systems, costs typically range from $50,000 to $300,000+. We price transparently — no surprise scope creep. Most clients find the ROI calculation becomes straightforward once we've defined the problem precisely in discovery.

Not necessarily. For problems using pre-trained foundation models, you can get meaningful results with a few hundred labelled examples. For bespoke systems like custom computer vision, you'll need thousands. We'll tell you exactly what's required before you commit to anything.

Yes, and we prefer it. We regularly fill specific capability gaps — MLOps, production deployment, frontend integration — or take on projects outside the internal team's current bandwidth. We don't require wholesale ownership of your AI work.

You own everything — the models, the training data, the code, and all intellectual property. We sign NDAs and data processing agreements before any data is shared. For sensitive industries such as healthcare, finance, and legal, we operate within your existing security framework.

Our engineers have genuine ML depth — statistics, model evaluation, dataset curation, and the ongoing work of keeping models performing in production. We're not rebranding a web development team as "AI." If you want to verify this, ask us a hard technical question in the first call. We'll answer it.