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Accelerate From Requirements to Validated Prototypes

Move from business requirements to working prototypes faster with our AI prototyping service that combines domain intelligence, AI agents, and design expertise. Qatalyst Design‑as‑a‑Service (DaaS) helps teams validate experiences earlier and move into development with greater confidence.

DaaS in Practice: Scaling White‑Label Design

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Featured Case Study

70% Faster Microsite Launches for Realty  

AI-powered design acceleration turned fragmented requirements into differentiated, brand-ready experiences at scale.

  • 70–80% reduction in early-stage design template creation time
  • 4–6 hours to produce first-level design drafts per asset
  • Delivered 6 templates in four days across three distinct market tiers

Why DaaS?

Traditional product design takes weeks to translate requirements into documents, wireframes, reviews, and revisions before stakeholders experience what is actually being built. DaaS changes this—using domain and design agents alongside human expertise to rapidly turn requirements into experiences teams can see, test, and refine.

Always audit-ready

Validate Earlier

Test journeys, workflows, and experience concepts before committing significant time and resources to development.
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Design at Speed

Move from structured requirements to high-quality first drafts and prototypes faster with AI-assisted design generation.
Higher Team Productivity

Align Teams Faster

Give business, design, and engineering teams a shared, tangible experience to evaluate and refine from the outset.
Cost Reduction

Reduce Rework

Clarify requirements and surface experience gaps early, before they translate into costly downstream changes.

DaaS in Action

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See how design agents and human expertise turn fragmented inputs into structured requirements and usable prototypes.

Human Expertise. AI‑Powered Execution.

Our approach combines specialized AI agents with domain and design expertise. AI accelerates requirements analysis, prototyping, and design generation, while experts provide the context, creative judgment, governance, and validation needed for production-ready experiences.

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Domain Intelligence

Business requirements, documentation, domain rules, user stories, and acceptance criteria provide the context AI agents need to understand what is being built and why.
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AI‑Assisted Design Prototyping

Specialized agents turn structured requirements into design-ready prompts, generate UI concepts, and accelerate the path from intent to prototype.
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Human‑in‑the‑Loop Design

Domain and design experts refine outputs around user journeys, brand identity, usability, accessibility, design systems, and business priorities.
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Governed, Validated Output

AI guardrails, design systems, and expert review help maintain consistency and quality, producing validated prototypes and design outputs that teams can confidently advance into engineering.