Enterprise Platform Engineering

The Platform Engineering
Company for AI

We design, architect, and engineer the foundational platforms that enterprise AI is built on — from data infrastructure to production inference at scale.

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Trusted by engineering teams at

JustFab Fabletics Yitty
AI Platform Engineering
Cloud Infrastructure
MLOps & Data
Platform Engineering

Platform Engineering for the AI Era

At Brookworx, we engineer the foundational platforms modern enterprises build AI on. We enable engineering teams to move faster through platform-led architecture, combining data infrastructure, cloud engineering, and production AI systems that scale from day one.

Let's Talk ↗

AI Platform Engineering

Intelligent infrastructure for production AI

Design and build end-to-end AI platforms — from model training infrastructure to real-time inference at scale. We architect the systems that make enterprise AI operationally viable, observable, and secure.

  • LLM serving infrastructure — vLLM, Triton, BentoML
  • RAG pipeline architecture and vector store design
  • Agent orchestration frameworks and tool integration
  • Real-time and batch inference at enterprise scale
Start with an architecture review ↗

AI Platform Stack / Production

Applications & Agents
LangChainCrewAI
Inference Gateway
vLLMTriton
Orchestration
RayPrefect
Vector Store
PineconeWeaviate
Model Registry
MLflowHF Hub
Deployment: Kubernetes / GPU-optimized cluster

Data Platform Design

The data foundation enterprise AI demands

Architect modern data platforms that serve as the foundation for AI — lakehouse implementations, real-time streaming pipelines, and unified governance frameworks that ensure AI systems are built on trustworthy data.

  • Lakehouse architecture — Databricks, Snowflake, Apache Iceberg
  • Real-time streaming — Kafka, Flink, Spark Streaming
  • Data quality and lineage frameworks — Great Expectations, dbt
  • Unified data governance and access control
Discuss your data architecture ↗

Data Lakehouse Pipeline

01
Ingestion Layer
Kafka, Fivetran, custom connectors — batch and streaming
Apache Kafka · Fivetran · Debezium
02
Bronze → Silver → Gold
Medallion architecture with quality gates, lineage tracking, and SLA monitoring
dbt · Delta Lake · Great Expectations
03
Feature & Serving Store
Consistent feature computation for training and inference
Feast · Redis · Databricks Feature Store
04
AI-Ready Output
Training-ready datasets, embeddings, and vector indexes for production AI
Pinecone · Weaviate · S3 / GCS

Cloud Infrastructure & MLOps

Production-grade cloud and ML operations

Resilient, cost-optimized cloud architectures and MLOps platforms that close the gap between experimentation and value delivery — with governance, observability, and continuous delivery from day one.

  • Multi-cloud and hybrid architecture — AWS, GCP, Azure
  • Kubernetes platform design and GPU cluster optimization
  • MLOps pipelines — model registry, CI/CD, monitoring
  • FinOps integration — cost attribution and rightsizing
Explore our cloud capabilities ↗
ML Operations Flow
Data Ingestion Kafka · S3 · Snowflake
↓
Feature Engineering Feature Store · Spark
↓
Model Training GPU Cluster · Experiment Tracking
↓
CI/CD & Registry ArgoCD · MLflow · Validation
↓
Production Inference vLLM · Triton · Auto-scaling
↓
Monitoring & Drift Prometheus · Grafana · Alerts

Full-stack platform capabilities

From cloud foundation to AI applications — we cover every layer of the modern enterprise AI stack.

01

LLM Infrastructure

Model serving, quantization, and inference optimization at enterprise scale.

02

Vector Search

Vector database design, embedding pipelines, and hybrid search architectures.

03

Data Lakehouse

Medallion architecture, Delta Lake, Iceberg, and unified governance.

04

Streaming Pipelines

Real-time data processing with Kafka, Flink, and Spark Streaming.

05

Kubernetes & GPU

Container orchestration, GPU cluster design, and autoscaling strategies.

06

Feature Engineering

Feature store design for consistent training and serving environments.

07

MLOps & CI/CD

Model pipelines, experiment tracking, registry, and deployment automation.

08

Platform Security

Zero-trust architecture, IAM, audit logging, and compliance frameworks.

Why Brookworx

Specialists, not generalists

We operate exclusively at the platform layer. No project management, no application development — just deep platform engineering expertise.

01 / FOCUS

Platform-Only

We do one thing: design and build the foundational platforms that AI runs on. That singular focus produces unmatched depth across the full AI and data stack.

02 / APPROACH

Architecture Before Code

Every engagement begins with a rigorous architecture review. The right platform design comes before a single line of infrastructure code is written.

03 / STANDARDS

Enterprise-Grade from Day One

Security, compliance, cost governance, and operational readiness are non-negotiable foundations in every platform we build — not afterthoughts.

04 / DELIVERY

Knowledge Transfer

We build platforms your team can fully operate. Every engagement includes architecture documentation, runbooks, and hands-on enablement at handoff.

Enterprise Value

Built for the board, not just the team

Every engagement is tied to measurable business outcomes — faster time-to-market, reduced infrastructure spend, and platforms that scale without headcount.

Talk to an architect ↗
3×
Faster platform delivery vs. in-house build
40%
Average reduction in infrastructure cost
12wk
To production-ready AI platform
99.9
Platform uptime SLA across engagements
Get Started

Ready to build your enterprise AI platform?

Begin with a complimentary architecture review. We'll assess your current infrastructure and outline a clear platform roadmap aligned to your business goals.

Let's talk ↗

Or just say hello

Want to chat about your next project? Whether you're planning a new platform or rethinking existing infrastructure — we'd love to hear about it.

hello@brookworx.com