Mozekmozek
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Data & AI infrastructure that holds up in production.

We're a small team of senior engineers working on cloud platforms, data engineering, machine learning and AI. The people you meet on the first call are the people who write the code.

~/mozek $ git log --reverse --clients

  1. 2020brighthousedata acquisition + management for a new hedging platform
  2. 2024dealermadeplatform-wide outage, mitigated inside 2 weeks
  3. 2026brighthouseback again: new event-driven data platform
  4. 2026depopml pipelines: data-gen 4–5× faster, training 2× faster
  5. alwaystraining1,000+ students taught

~/mozek $

// the stack we build on
PythonPython
ScalaScala
RustRust
GoGo
AWSAWS
AzureAzure
GCPGCP
DockerDocker
KubernetesKubernetes
TerraformTerraform
PulumiPulumi
PostgreSQLPostgreSQL
RedisRedis
KafkaKafka
PythonPython
ScalaScala
RustRust
GoGo
AWSAWS
AzureAzure
GCPGCP
DockerDocker
KubernetesKubernetes
TerraformTerraform
PulumiPulumi
PostgreSQLPostgreSQL
RedisRedis
KafkaKafka
SparkSpark
TrinoTrino
AirflowAirflow
dbtdbt
PandasPandas
PyTorchPyTorch
TensorFlowTensorFlow
OpenAIOpenAI
AnthropicAnthropic
LangChainLangChain
PrometheusPrometheus
GrafanaGrafana
OpenTelemetryOpenTelemetry
SparkSpark
TrinoTrino
AirflowAirflow
dbtdbt
PandasPandas
PyTorchPyTorch
TensorFlowTensorFlow
OpenAIOpenAI
AnthropicAnthropic
LangChainLangChain
PrometheusPrometheus
GrafanaGrafana
OpenTelemetryOpenTelemetry

We start with your business outcomes, not the tech stack.

Whatever the size of your systems, we begin by understanding the result you need. Then we bring the engineering to get there: architecturally sound, pragmatic, and built to keep running after we leave.

Outcome-driven
Every engagement starts from the business result you need.
Production-grade
Architecturally sound systems built to run, not just to demo.
Senior & hands-on
You work directly with the engineers doing the work.

Four ways we plug in.

What each one includes

Clients bring us back.

Brighthouse Financial
“We first worked with them on an innovative hedging platform, where they helped us design and implement key data acquisition and management services. The engagement was so successful that we brought them back to help us analyze our data architecture and build a new event-driven data management platform. They work effectively with both our technology teams and our business partners, and they consistently deliver top-level implementations. I would absolutely work with them again.”
Craig Stewart
Leader, DevOps & Managed Services, Brighthouse Financial, Inc.
Depop
“Mozek Technologies has worked with Depop’s Ranking team since June 2026, supporting our machine learning data pipelines and model-serving infrastructure. Our data-generation jobs now run four to five times faster on average, while model-training jobs run up to twice as fast. These improvements have resolved several persistent pain points and materially improved the team’s day-to-day efficiency. Working with Mozek Technologies has been an excellent contractor experience, and we would be very happy to work with them again.”
Guilhem Vuillier
Senior ML Manager, Depop, an eBay company
Read the full case studies

Got a hard data problem? Let's talk it through.

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