Real AI products. Measurable ROI.
From enterprise logistics systems to marketing automation platforms. Ideas transformed into revenue in 90 days, all shipped to production.
Pixelmojo Brand System
The identity system for the Pixelmojo product family. Radar sweeps. Vector points. Hive multiplies. One geometric grammar makes every product unmistakably itself and unmistakably ours.
- 64-unit grid
- Space Grotesk
- Geist
- Design tokens
Lakbay AI
AI-powered travel concierge for the Philippines with RAG-driven itinerary generation, real-time flight search, and 3 user portals serving travelers, agents, and admins.
- Next.js 16
- TypeScript
- OpenAI
- Supabase pgvector
Vector by Pixelmojo
AI sales qualification agent that analyzes prospects across 12 dimensions in real-time. Eliminates 60% of unqualified leads while capturing every high-intent prospect 24/7.
- Next.js 15
- TypeScript
- Supabase
- OpenAI
Mojo AI
Portfolio concept for a Figma creative workflow that explores controlled ad variations from one master template. The interactive case study uses synthetic data and does not claim a measured production output benchmark.
- TypeScript
- Figma Plugin API
- OpenAI GPT-5
- shadcn/ui
SEO Intelligence Platform
Built with Google Search Console MCP to monitor rankings, identify search-to-citation gaps, and generate evidence-linked content briefs from verified performance data.
- TypeScript
- MCP Protocol
- Google Search Console API
- Claude AI
Real Estate Earnings Tracker
Predictive analytics platform that transforms property investment data into actionable profit forecasts with real-time market analysis and portfolio optimization.
- React
- TypeScript
- Python
- Machine learning
Logistics Track & Trace System
Enterprise logistics platform that unified carrier and warehouse events into a real-time shipment record with exception tracking across every handoff.
- React
- TypeScript
- Node.js
- PostgreSQL
Bring us the constraint.
Tell us what needs to change. We reply within one business day with whether we are a fit and the right next step.
Brief the studioWhat repeats across seven releases.
Read the manifests together and the studio's habits show. TypeScript in six of seven. OpenAI models in three, Claude in one. Supabase, Next.js and React twice each. The rest is picked per problem: Python and machine learning for forecasting, MCP for search data, the Figma Plugin API for design tooling.
How we buildBring us the constraint.
Tell us what needs to change. We reply within one business day with whether we are a fit and the right next step.