Case studies

Outcomes, not just output.

Real products. Real metrics. The full story behind a few of our recent engagements.

Lumen Health — Figma to App Store in 11 weeks
Health

Lumen Health — Figma to App Store in 11 weeks

Challenge

Lumen needed a HIPAA-grade telehealth iOS + Android app — and a launch tied to a Series B announcement.

Solution

Two parallel native squads (Swift, Kotlin) shared a TypeScript spec for the API, with weekly TestFlight + Play Beta drops. Encrypted video on WebRTC + Twilio fallback.

Architecture

Swift / SwiftUIKotlin / Jetpack ComposeNode.js + Postgres (HIPAA)WebRTC + Twilio videoAWS GovCloud

4.9★

App Store

320k

patients

11 weeks

to launch

HIPAA

compliant

Finovate — rebuilding a trading platform in 90 days
Fintech

Finovate — rebuilding a trading platform in 90 days

Challenge

A legacy Java monolith struggled past 100k concurrent traders. Latency spikes were costing trades, and shipping a new feature took quarters.

Solution

We rebuilt the platform on a real-time React + Node stack with event sourcing, Redis streams, and a Cloudflare Workers edge tier. A traffic-shadowing migration enabled a zero-downtime cutover.

Architecture

React + TanStack QueryNode.js + NestJS microservicesPostgres + Redis StreamsCloudflare Workers edgeDatadog observability

faster load

1.2M

active traders

90 days

to launch

99.99%

uptime

Maven & Co — headless commerce relaunch
E-commerce

Maven & Co — headless commerce relaunch

Challenge

A 2M-visit/month Shopify store had slow PDPs and an inflexible checkout — both bottlenecking conversion.

Solution

Headless storefront with edge SSR, image AI optimization, and a custom one-page checkout. Continuous A/B-testing pipeline integrated with PostHog.

Architecture

Next.js + React Server ComponentsShopify Storefront APIStripe + custom checkoutCloudflare Images + WorkersPostHog feature flags

+28%

conversion

0.6s

TTFB

2.1M

monthly visits

12 wks

delivery

Stackline — analytics platform with AI insights
SaaS

Stackline — analytics platform with AI insights

Challenge

Customers had warehouses of data but no obvious next action. Stackline needed an AI layer that worked with any schema.

Solution

An LLM-powered insights engine on top of a multi-tenant warehouse, with self-serve onboarding and usage-based billing wired into Stripe.

Architecture

Next.js + tRPCPostgres + DuckDB analyticsOpenAI + open models via vLLMStripe metered billingVercel + Fly.io

trial → paid

12k

workspaces

40ms

p50 query

5 mo

to MVP

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