Verified Enterprise Deployments

Engineering Case Studies & Performance Benchmarks.

Real-world operational breakthroughs engineered by QuantZent. We evaluate the exact bottleneck, architect the replacement runtime or infrastructure, and hold ourselves accountable to measurable business metrics.

Cloud FinOps & Infrastructure

Mid-Market Logistics SaaS ($12M ARR)

Eliminating 38% AWS Spend via Automated Kubernetes Right-Sizing

Operational Bottleneck

Uncontrolled growth of EKS microservices across multiple AWS availability zones resulted in severe over-provisioning, unreserved on-demand EC2 usage, and an orphaned multi-TB EBS volume footprint inflating monthly cloud invoices past $42,000.

Engineered Solution & Architecture

Implemented Karpenter auto-scaling on AWS EKS with graviton-backed spot/on-demand orchestration. Engineered automated FinOps tagging policies with OpenTofu/Terraform, and converted underutilized RDS instances to Aurora Serverless v2.

Empirical Performance Comparison

Previous State (Bottleneck)
Monthly AWS Run-Rate:$42,500
Cluster Compute Utilization:23%
Unreserved On-Demand Footprint:78%
Engineered Outcome (QuantZent)
Monthly AWS Run-Rate:$26,300 (-38%)
Cluster Compute Utilization:68%
Savings Plans & Spot Coverage:82%

Stack & Tooling

AWS EKS
Karpenter
Terraform / OpenTofu
Aurora Serverless
AWS Cost Explorer
Mission-Critical JVM Modernization

FinTech Payment Gateway (Kolkata & Mumbai)

4.2x P99 Latency Acceleration via Kotlin & Virtual Threads

Operational Bottleneck

Legacy Java 8 monolithic backend experienced frequent 1,200ms stop-the-world garbage collection pauses during peak transaction windows. Blocking JDBC connection pools caused thread starvation and high transaction timeout rates.

Engineered Solution & Architecture

Migrated legacy payment routing services to Kotlin and Spring Boot 3 on JDK 21. Replaced thread-per-request blocking architectures with Java Virtual Threads (Project Loom) and tuned ZGC generational collectors with async-profiler memory analysis.

Empirical Performance Comparison

Previous State (Bottleneck)
P99 Transaction Latency:1,420 ms
Max Peak Throughput:850 TPS
Stop-The-World GC Pauses:680 ms avg
Engineered Outcome (QuantZent)
P99 Transaction Latency:335 ms (4.2x)
Max Peak Throughput:3,200 TPS
Stop-The-World GC Pauses:< 2 ms (ZGC)

Stack & Tooling

Kotlin
Spring Boot 3
JDK 21 (Loom)
ZGC
PostgreSQL
async-profiler
Agentic AI Workflow Automation

National Industrial Manufacturing Group

Reducing Invoice Processing Time from 4 Days to 11 Minutes

Operational Bottleneck

Finance teams processed over 3,500 supplier invoices monthly through manual data entry. Errors in GST tax invoice rates and mismatching against warehouse delivery challans led to delayed supplier payments and missed ITC claims.

Engineered Solution & Architecture

Engineered an autonomous multi-agent pipeline using deterministic LangGraph orchestration. Agents perform document layout extraction, automated 3-way matching against purchase orders and goods receipt notes, and direct programmatic entry into SAP ERP.

Empirical Performance Comparison

Previous State (Bottleneck)
Invoice Processing Time:4.2 Days
Human Review Time / Invoice:18 Minutes
Monthly GST Reconciliation Errors:4.8%
Engineered Outcome (QuantZent)
Invoice Processing Time:11 Minutes
Human Review Time / Invoice:1.2 Min (Exception only)
Monthly GST Reconciliation Errors:< 0.1%

Stack & Tooling

Agentic AI
LangGraph
Python
FastAPI
SAP ERP Connector
PostgreSQL
Hardware Lifecycle & Network SLA

Healthcare Diagnostic Network (18 Facilities)

Zero Downtime via 4-Hour MTTR Dell & Cisco Enterprise AMC

Operational Bottleneck

A multi-city diagnostic network suffered from aging switch stacks and unmonitored Dell PowerEdge storage servers. A core switch failure previously resulted in an 18-hour outage across 6 regional labs with lost revenue and clinical report delays.

Engineered Solution & Architecture

Structured a comprehensive 24/7 Hardware Annual Maintenance Contract (AMC). Deployed cold-spare Cisco Nexus core switches, instituted automated SNMP health telemetry, and guaranteed on-site hardware dispatch with under 4-hour MTTR.

Empirical Performance Comparison

Previous State (Bottleneck)
Mean Time to Repair (MTTR):18.5 Hours
Hardware-Induced Outages / Year:5 incidents
Telemetry Monitoring Coverage:30%
Engineered Outcome (QuantZent)
Mean Time to Repair (MTTR):2.8 Hours (< 4 hr SLA)
Hardware-Induced Outages / Year:0 incidents
Telemetry Monitoring Coverage:100%

Stack & Tooling

Cisco Nexus
Dell PowerEdge
SNMP Telemetry
Cold Spares Fleet
On-Site Field Engineers

Ready to Solve Your Infrastructure Bottlenecks?

We invite your team to review our past production deliverables and schedule an initial architecture diagnostic.