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AI product design and design engineering

Daavvid Inc. is how David Alli-Johnson contracts. An independent AI Product Designer and Design Engineer. Not an agency, no bench: you work with me directly.

10+ years, 60+ products shipped across fintech, SaaS and AI. I design the system and build the front end: UX architecture, interface design, design systems and tokens in Figma, then production HTML, CSS and JavaScript, plus LLM integration and AI feature design.

  • Min project size
    Undisclosed
  • Hourly rate
    Undisclosed
  • Employees
    Freelancer
  • Year founded
    Founded 2024

Select Focus Area
Application Platforms
Other app platform
100%
AI Consulting Focus
CMS Focus
Adobe Experience Manager CMS
75%
Frameworks and CMS
Programming & Scripting
HTML5
35%
Python
15%
User Experience Focus
Industries
Financial services
25%
Information technology
25%
Medical
15%
Real estate
15%
Business services
10%
eCommerce
10%
Clients

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Our Story

I'm David Alli-Johnson. Ten years designing and shipping software, 60+ products across fintech, SaaS and AI. Daavvid Inc. is how I contract: no agency, no bench, you work with me directly. I take a product from UX architecture and design systems in Figma through to production front-end code and AI feature design, so the thing that ships is the thing that was designed. I work with founders, startup teams and a few enterprise companies, from Lagos, on UK and European hours.

What Sets Us Apart

You work with me, not an account manager

Daavvid Inc. is one person. The designer you brief is the designer who does the work and writes the front-end code. No handoff between a sales lead, a strategist and a junior, so nothing is lost in the relay.

Design and front-end build in one pass

Most teams hand a Figma file to a developer and lose fidelity in translation. I take it through to production HTML, CSS and JavaScript myself, so spacing, states and motion ship the way they were designed.

AI features built by the person who designs them

LLM integration and AI product decisions made with working knowledge of what the models actually do well. Fewer features that demo nicely and then fail in real use.

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