AI-native
Surfaces.
Everyone says AI. We focus on the UX side. How an LLM, an agent or a generative interface should actually feel inside a product. We design the surface, build the front-end, and integrate the model layer cleanly so the experience is calm and trustable.
What we deliver
- Conversational and agent UI
- RAG-powered search and assistants
- Generative interface patterns (streaming, tool calls, traces)
- LLM-aware design systems
- Front-end integration with model providers (Anthropic, OpenAI, custom)
Stack we reach for
How we engage
- Prototype + design sprint (3–5 weeks)
- Feature inside an existing product (6–12 weeks)
- Full AI-native product build
FAQ
- Do you train models or just integrate them?
- We integrate. Our value sits on the UX, surface and engineering side of AI, making LLMs, agents and generative interfaces feel calm, fast and trustable. We partner with model providers (Anthropic, OpenAI, Mistral) and ML teams on the model side.
- What's the difference between a chat UI and an agent UI?
- A chat UI is a conversation. An agent UI is a conversation plus a workspace. Agents do work over time, with tools, traces and human-in-the-loop interventions. The design language is closer to an IDE than a chat app.
- How do you measure AI UX quality?
- Three things: time to first useful answer, recovery from model errors, and how often the human takes over without friction. Speed, robustness, hand-off. Everything else is downstream of those.
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