INNOVATE
Case Studies

Five engagements, five problems, five sets of numbers.

Anonymized but technically detailed write-ups of recent engagements across FinTech, Healthcare SaaS, Logistics, B2B SaaS, and DTC E-Commerce. Each one explains the situation, the approach, the stack, the results, and what changed for the business.

Portfolio

Selected work, with the numbers we will defend.

5 case studies
01FinTech

Modernizing a legacy payment gateway under PCI-DSS pressure

Strangler-fig migration from a PHP monolith to a Node.js microservices platform on Kubernetes. p95 latency dropped from 1.8s to 320ms, PCI-DSS audit passed, transaction headroom 4×.

60%

load time reduction

p95 1.8s → 320ms

Next.js 15React 19Node.js 20PostgreSQL 16Redis 7+7
02Healthcare SaaS

Multi-region Kubernetes migration for a clinical SaaS platform

Single-region VM in Frankfurt → three-region active-active EKS deployment. API response time dropped from 800ms to 40ms globally. HIPAA + GDPR audit closed without findings.

20×

faster API responses globally

800ms → 40ms median

AWS EKSRDS PostgreSQL 16ElastiCache RedisCloudFrontRoute53+7
03Logistics

Document AI for a freight forwarder — 800/day, multilingual

A 12-person ops team manually classifying 800+ shipping documents a day became a 4-engineer + LLM pipeline doing it in minutes, with a 0.3% error rate. Customs holds dropped 80%.

70%

less manual processing time

Across BoLs, customs forms, multilingual invoices

GPT-4oAnthropic Claude 3.5 SonnetAWS TextractPython (FastAPI)PostgreSQL with pgvector+7
04B2B SaaS

3× organic traffic for a B2B SaaS in 8 months — without paid spend

Stagnant 18-month organic plateau, broken Core Web Vitals, JS-heavy SPA blocking crawlers. Migration to Next.js with comprehensive schema, performance overhaul, and indexation cleanup.

organic traffic growth

8 months, zero paid spend

Next.js 15React 19TypeScriptVercel (Edge)Cloudflare+7
05E-Commerce

Consolidating $5M+ in paid media spend, in-house, with real attribution

DTC brand spending $5M+ across four agencies, ROAS deteriorating, attribution opaque. We brought paid media in-house, built first-party analytics, and automated inventory-aware ad serving.

4.2×

average ROAS sustained over 18 months

vs 2.1× baseline across four prior agencies

Next.js (commerce frontend)Server-side GTMSnowplowSnowflakedbt+7
FAQ

Common questions about these case studies

Why are the case studies anonymized?+
Most engagements are governed by NDAs that prevent us from naming the client publicly. We expand on every claim — concrete numbers, technologies, timelines, team composition — but we strip identifying details. If you need named references for a procurement process, we can usually arrange them under a mutual NDA after a discovery call.
Are these numbers real?+
Yes. Every figure on these pages comes from production telemetry, customer-supplied dashboards, or audit reports. We will not put a number on a case study we cannot defend in a procurement interview. Where a number is approximate or rounded, we say so.
Can you produce a case study about a project we did together?+
Often, yes. Most named case studies require explicit written approval from the client and usually a review pass from their legal or marketing team. We are happy to draft something for your review if you have an engagement worth highlighting — most clients say yes once they see how the write-up reads.
How representative are these of a typical engagement?+
These five were chosen because each illustrates a different mode of engagement we run regularly — modernization, migration, automation, organic growth, paid growth. The shape of the work and the kind of accountability you can expect is consistent across them, even if the specific stack and outcomes vary.
Have a similar problem?

The next case study could be yours.

Most engagements start with a 30-minute discovery call. No pitch deck, no NDAs on day one — just an honest conversation about your situation.

Schedule a Call