— Case Studies / N°02

How we actually ship.

Three deep dives across fintech, healthcare AI, and platform scale. Same collective, same operating principles, three very different problem shapes.

CASE N°01 · FINTECH · REALTIME
8ms
p99 latency
4.2M
events/sec
6×
throughput
0
cutover downtime

Building a sub-millisecond trading engine on Rust + FPGA

Replaced a legacy Java matching engine with a Rust-based core and FPGA offload. Zero downtime cutover, 6× throughput, 40× tail latency improvement.

Client
Confidential HFT · Chicago
Duration
18 weeks
Team
6 engineers
Outcome
8ms p99 · 4.2M events/sec
Request full dossier (NDA)
CASE N°02 · HEALTHCARE · AI
94%
triage accuracy
38%
ER wait ↓
42
hospitals live
SOC 2
+ HIPAA

A HIPAA-compliant triage assistant across 42 hospitals

Autonomous triage assistant reading structured and unstructured EMR data. FHIR-native, on-prem inference, formally audited against clinical baselines.

Client
European Hospital Group
Duration
26 weeks
Team
8 engineers + 2 clinicians
Outcome
94% triage accuracy · 38% ER wait reduction
Request full dossier (NDA)
CASE N°03 · SAAS · SQUAD
10×
velocity
62%
infra spend ↓
41
features shipped
3
timezones

Embedding a 12-engineer squad for 10× shipping velocity

Full squad embed across SFO, LDN, SGP. Rebuilt the deploy pipeline, migrated to a service mesh, and shipped 41 major features while the client's core team focused on strategy.

Client
Series C Global SaaS
Duration
Ongoing · 14 months
Team
12 engineers, 3 timezones
Outcome
10× feature velocity · 62% infra spend ↓
Request full dossier (NDA)