Services
Everything it takes to ship an AI-native product.
Four capabilities, one team. We can own the whole path from idea to reliable release, or plug into the part you need most.
Prototype to production
We take AI prototypes built in tools like Lovable, v0, Bolt, Replit, or Cursor and rebuild them into production-grade products: real architecture, evaluations, guardrails, security, and observability. You keep the speed of the prototype and gain a system that scales and stays reliable.
- prototype to production
- Lovable to production
- v0 to production
- rebuild AI app
AI product strategy
We translate open-ended goals — "we should use AI somewhere" — into a specific AI-native product direction: the job to be done, where intelligence belongs in the workflow, the data and feedback loops required, and a sequenced plan to build it. You leave with a thesis you can fund and ship against.
- AI product strategy
- AI product consulting
- AI-native strategy
- AI roadmap
Applied AI engineering
We build the AI systems behind the product: retrieval-augmented generation, tool-using agents, structured extraction, and multi-model pipelines. Every system ships with an evaluation harness, guardrails, and observability so its behavior is measurable and safe, not a black box you hope works.
- applied AI engineering
- RAG in production
- AI agents
- LLM evaluation
AI product design
We design the experience of products where outputs are probabilistic and the model is the interface. That means designing for uncertainty, trust, correction, and feedback — so people understand what the AI is doing, stay in control, and get value on the first try.
- AI product design
- AI UX
- AI-native design
- designing for AI
Work with Dmware
Have a prototype, or an idea that needs to become real?
Book a 30-minute intro call. We’ll tell you honestly whether we’re the right team, and what it would take to ship.