René's URL Explorer Experiment

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{"@context":"https:\/\/schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Why choose custom AI over off-the-shelf solutions?","acceptedAnswer":{"@type":"Answer","text":"An off-the-shelf platform wins year one almost every time. By year three, the math often flips, because per-user licenses grow with headcount while a custom build you own does not. Run both numbers over 36 months. If the license line crosses the build line, custom wins on ROI alone, before you count accuracy on your data or control of your IP. If it never crosses, buy the license. We will say so too."}},{"@type":"Question","name":"Can you deliver scalable custom AI solutions as we grow?","acceptedAnswer":{"@type":"Answer","text":"Yes, and it is a design decision rather than a promise. We size the architecture for tomorrow's volume, ship retraining pipelines so the model keeps up with your data, and set up MLOps monitoring that flags drift before your users do. Growth should mean retraining a model, not rebuilding a system."}},{"@type":"Question","name":"How much data do we need to start?","acceptedAnswer":{"@type":"Answer","text":"Less than most articles claim. A few thousand well-labeled examples can support a working model in many cases, and synthetic data can stretch thin sets further. What kills projects is not small data. It is dirty data with no owner."}},{"@type":"Question","name":"Who owns the model weights and source code?","acceptedAnswer":{"@type":"Answer","text":"You do. Full stop. Code, weights, training pipelines, and documentation transfer under the contract. If we ever stop working together, everything keeps running without us."}},{"@type":"Question","name":"How long does a custom AI solution take?","acceptedAnswer":{"@type":"Answer","text":"A feasibility pilot lands in 4 to 8 weeks. A departmental system takes 3 to 6 months. Platforms run longer, mostly because of integrations and compliance, not the models themselves."}},{"@type":"Question","name":"How do you handle the EU AI Act and GDPR?","acceptedAnswer":{"@type":"Answer","text":"During discovery, we classify your system against the EU AI Act risk categories and document what each obligation means for the build. GDPR handling covers data minimization, documented PII flows, and EU data residency where required. Skipping this step does not save money. It defers a fine."}}]}