Selected Work

Systems we built.
Problems they actually solved.

No vanity metrics. No inflated numbers. Every case below shows what we built, how it works, and the real outcomes it delivered. Client names available under NDA on request.

AI Agent · B2B Services

Automated Lead Qualification Agent

The problem

Inbound leads sat in a shared inbox for hours. By the time someone replied, 60% had already gone cold. Sales spent more time sorting tire-kickers than talking to buyers.

What we built

An autonomous lead-qualification agent that responds in seconds, scores each lead against a custom ICP, books qualified calls directly into the sales calendar, and pushes everything to the CRM.

8 hrs Saved per week on triage
Faster response to leads
0 Manual qualification steps
AI Product Engineering · SaaS

AI-Native SaaS Platform

The problem

A founder had validated an idea for a research tool but needed a working product — with auth, billing, LLM pipelines, and a vector search layer — shipped to production, not a demo.

What we built

A complete SaaS platform: Next.js frontend, Supabase backend, Stripe billing, and an LLM pipeline with streaming responses plus a Pinecone vector layer for semantic search across user documents.

5 weeks MVP to production
99.9% Uptime since launch
0 Rewrites needed post-launch
Web Engineering · 3D Interactive

3D Product Launch Platform

The problem

A hardware brand needed a launch site that would stand out in a crowded category. Standard WordPress templates felt forgettable, and none of the existing tools could handle real-time 3D.

What we built

A scroll-driven 3D interactive site built with Spline and GSAP. Products rotate as you scroll, explode views show the internals, and the marketing team can update copy and images through a custom Sanity CMS.

2.4× Conversion lift vs old site
96 Lighthouse performance score
1.2s Average load time
Cross-Platform Mobile · RAG

AI-Powered Mobile Application

The problem

A fintech startup's support inbox was drowning. Users kept asking the same account questions that could be answered instantly if the app just talked to their own data — securely.

What we built

A Flutter mobile app with an embedded RAG assistant that answers account questions with citations from the user's own transaction history — all processed through a secured gateway, never touching the client device.

−42% Support ticket volume
4.8★ Average store rating
3 sec Average answer time
100% Code and IP ownership transferred
Weekly Working demos, not status reports
Fixed Price blueprint before we build
NDA Signed before kickoff — always
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