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Frequently asked questions

Everything about how we scope, price, and deliver AI and software projects. Can't find it here — just ask us directly.

Most projects are scoped as a fixed quote after a discovery call, based on which sub-categories and tools are involved. Ongoing work — model retraining, feature additions, support — can move to a monthly retainer instead.

A focused chatbot or MVP web app usually takes 3–6 weeks. Full AI/data science builds or multi-tenant SaaS platforms typically run 8–16 weeks, delivered in weekly increments rather than one final release.

Yes — most engagements plug into an existing product, database, or data warehouse rather than starting from a blank repository. We audit what's there during discovery before proposing changes.

We work across both open-source models via Hugging Face and hosted models from OpenAI and Claude, choosing per use case — cost, latency, and data sensitivity all factor into that decision rather than defaulting to one provider.

Yes. Each of our six services is scoped independently — you can bring in the AI & Data Science team alone and integrate the output into a system your own engineers already maintain.

Every engagement starts with an NDA, and access to your systems and data is scoped per project. We can work inside your cloud environment instead of moving data into ours, if that's a requirement.

Yes — monitoring, retraining, and on-call support are available after launch, either as part of the original scope or as a separate retainer.

We work with early-stage startups building their first AI feature through to established companies modernizing legacy systems or scaling an existing SaaS product.

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