Polygon Mango

Platform Engineering

Built for scale, performance, and scrutiny.

The production foundations engineering teams depend on.
We make cloud and data systems legible, from first principles through production.

Practice Areas

Cloud architecture, platform engineering, and data systems. Architecture and delivery across the full stack.

Technologies
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
Redis
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
Redis

Cloud Architecture

Designing systems that remain coherent as they evolve. We define service boundaries, integration patterns, cloud architectures, and technical strategies that manage complexity, improve resilience, and guide long-term engineering decisions.

Platform Engineering

Building the operational foundations that systems depend on. We design and implement Kubernetes platforms, cloud infrastructure, observability, security controls, and runtime capabilities that enable reliable, secure operation at scale.

Data Platforms

Building the foundations for data-intensive systems. We design data architectures, pipelines, streaming platforms, and governance capabilities that establish trusted, traceable, well-defined data substrates for operational systems, analytics, and AI workloads.

About Polygon Mango

Enterprise rigor. Startup velocity.

Who We Are

Polygon Mango's founder has a PhD in theoretical physics, and nearly a decade of experience designing and operating multi-cloud infrastructure, production AI platforms, and high-throughput data systems at scale. First-principles thinking applied to production systems, from early revenue to regulated enterprise.

Our Experience

Scaled a banking compliance product into a SaaS platform serving a tier-1 financial institution. Created national-scale cloud infrastructure for a healthcare platform. Designed and built high-throughput, GDPR-compliant data pipelines for LLM training. Developed multi-cloud authentication and authorization systems handling global high-throughput traffic with strict latency requirements. Built AI inference platforms serving 1,000+ concurrent users. Trained fraud detection models for a tier-1 bank. Optimized machine learning system infrastructure for a leader in industrial AI, reducing operating costs by 84%.

Our Approach

Direct engagement. Architecture-first. Built for reliability and audit.

How We Work

We start by understanding your technical challenges, identify the highest-impact improvements, and help you execute with confidence.

Architecture & Strategy

Understand where your systems stand today. We assess architecture, infrastructure, security, and operational practices, then provide a prioritized roadmap of risks, opportunities, and recommended improvements.

Engineering & Implementation

Execute the improvements that matter most. We deliver platform builds, migrations, reliability improvements, and engineering initiatives with clear milestones and ownership from start to finish.

Technical Advisory

Access senior technical guidance without the overhead of a full-time hire. We provide architecture direction, engineering strategy, and targeted expertise as your technology needs evolve.

Get In Touch

A direct technical conversation.

Infrastructure has no room for vibes

Architecture review before a major migration. Platform engineering for critical workloads. High-throughput data pipelines designed for scale. Compliance-driven infrastructure overhauls. This is a direct technical engagement.

Our collective track record includes delivering mission-critical architecture and systems for banking, medtech, insurance, and industrial AI, spanning global enterprises and startups at every stage.