

The ITRex AI design team uses autonomous agents to speed up the research phase, helping you identify high-impact opportunities and create a roadmap before committing to development:


As part of AI design services, ITRex creates interactive, high-fidelity prototypes in days, not weeks, to test hypotheses and secure investor approval before writing a single line of code:


Our AI product design services validate that your interface handles enterprise complexity while adapting to open-ended, dynamic AI conversations on the fly:


As your AI ecosystem grows, so do operational expenses and liability risks. Our AI design team delivers the structure to scale your product while avoiding technical debt and compliance gaps:
As AI becomes a permanent fixture in most software products, new usability issues emerge that traditional design cannot address. Partnering with our AI design company will help you:
Our AI design experts use generative tools to explore dozens of visual directions and layout variations in hours, not weeks. The result? Immediate visual feedback without pixel-pushing and lengthy approval cycles.
Concept validation is an essential part of our AI system design services. Using predictive user modeling and synthetic validation, we identify usability issues and logic inconsistencies early on, putting your product on track for success.
Our senior AI product design consultants step in where automation falls short. They fine-tune the AI’s output, so your solution speaks with your brand’s voice and handles delicate user tasks with empathy and clarity.
We rely on a robust AI-driven system design stack that includes Figma AI, Figma Make, Cursor, and specialized plugins. This approach guarantees seamless integration with your engineering pipelines, preventing “design drift” during development.
Think of traditional design as a static map, which only shows the road. AI-first design, on the other hand, functions like a GPS, recalculating your route in real time based on traffic data. An AI-first interface must handle nondeterministic outputs, which means the AI may produce different results for different users. Our AI product design services focus on creating UIs for “adaptability” and “context,” rather than static pages.
You need AI design services when:
In this case, AI-powered tools (and an expert team that knows how to use them!) can help you create and validate concepts and prototypes and inform further rework and development. Another scenario is developing or enhancing AI-based products—a chatbot, agentic system, or self-service analytics solution.
No. We use AI to augment them. We deploy generative tools to automate low-value tasks—like organizing layers or generating initial variations—so our senior AI product designers focus on high-value strategy and creative problem-solving.
Many AI models are black-box by nature, meaning they don’t explain how they make specific decisions. Our AI system design services guarantee this explainability by providing clear visual cues for AI outputs, granting users control over personalization, and using human-friendly language to explain why the AI made a recommendation.
ITRex, a software engineering firm at its core, never suggests impractical concepts. To ensure that every interaction we prototype is technically feasible within your budget, tech stack, and timeline, our AI software designers collaborate with developers (yours or ours).
Thanks to our AI-augmented design workflows, we can typically move from “kickoff” to “clickable prototype” in days, not weeks. This allows you to pitch your product to investors or validate it with stakeholders much faster compared to traditional prototyping.
Both. We help startups build “MVP 1.0” to get funding, and we help global enterprises build scalable design systems to manage complex portfolios of products.
The ITRex team designs for “Privacy by Default.” We create interfaces that clearly communicate what data is being used and ask for consent at the right moments, ensuring you stay compliant with GDPR, CCPA, and other regulations while also building user trust.