AI that creates, not just answers

In most cases, yes when you use licensed models, follow provider terms, and implement the guardrails we build (watermarking, disclosure, review flows). We document what you can sell, publish, and white-label for your specific outputs and jurisdictions before launch.

It depends on modality, volume, and model choice. Early-stage tools often run $50–$500/month; high-volume image or video pipelines scale higher. We estimate ranges in your proposal and optimize with caching, smaller models, and batching so spend stays predictable.

That's a core deliverable not an afterthought. We use brand style guides, few-shot examples, fine-tuning when needed, and human-in-the-loop review so outputs sound and look like you, not generic AI slop.

We address each in the build: licensing clarity for training data and outputs, safety filters and human review for bad generations, and eval suites to catch bias and drift. GenAI is creative we design systems that fail safely when the model is wrong.

Most projects start with hosted APIs (OpenAI, Anthropic, Replicate, etc.) for speed and cost. We add fine-tuning, LoRA, or self-hosted models when brand consistency or scale demands it. We'll recommend the leanest path that hits your quality bar.