Polygon Mango

AI Infrastructure

Designed for scale, performance, and scrutiny.

We design and build cloud and AI systems that perform in production, data platforms that scale under pressure, and infrastructure engineered for reliability. From ambitious scale-ups to enterprise transformations.

Practice Areas

Cloud infrastructure, AI platforms, and data systems. Architecture and delivery across the full stack.

Technologies
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
PyTorch
LangChain
OpenAI
Anthropic
Redis
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
PyTorch
LangChain
OpenAI
Anthropic
Redis

Platform Engineering

Building the foundations engineering teams rely on to operate and scale software. We design cloud architectures, internal platforms, Kubernetes environments, and infrastructure automation that improve reliability, consistency, and operational maturity.

AI Systems

Moving AI from prototype to production. We build the infrastructure, inference services, evaluation workflows, and operational foundations required to run reliable AI systems at scale with the performance and controls production environments demand.

Data Platforms

Creating dependable data foundations for analytics, machine learning, and AI. We build data pipelines, streaming systems, governance practices, and architectures designed to handle evolving workloads with reliability and scale.

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 delivery practices, then provide a prioritized roadmap of risks, opportunities, and recommended improvements.

Engineering & Transformation

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

Get ongoing senior technical guidance without the overhead of a full-time hire. We provide architecture direction, engineering strategy, and targeted support 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 AI 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.