Engineering services

The work behind the platform is available on its own.

Since 2016 we have built data platforms, streaming systems and machine learning pipelines for enterprises in the United States and beyond — often as the team that arrives when the existing one has hit a wall.

What we do

Six things we are genuinely good at.

Each one links to a case study where we did it, with the numbers we recorded at the time.

  • Data platforms

    Lakes, warehouses and the pipelines between them

    Consolidating fragmented estates into one platform people trust. We have merged parallel Teradata, Netezza and Hadoop environments, and migrated hundreds of tables to cloud warehouses with validation proving target matched source.

    Data lake consolidation →

  • Streaming & real time

    Systems that answer while the answer still matters

    Event pipelines at production scale — including one ingesting 17,000 events per second and 3 TB a day — with the late-arriving-data handling that keeps the numbers correct when brokers fail.

    17K events/sec pipeline →

  • Machine learning

    Models that run on all the data, not a sample

    Feature engineering and ML pipelines built for scale. We took one propensity system from sampled data and 18-hour training runs to the complete dataset across 30 million customers, training 19,000 models in three hours.

    18h → 3h, 19,000 models →

  • Analytics

    Dashboards people actually trust

    The hard part is rarely the chart. We define metrics with the business first — over forty KPIs on one engagement — so two dashboards cannot disagree in front of an executive.

    40+ KPIs defined and built →

  • Cloud & platform

    Infrastructure as code, environments you can rebuild

    Serverless AWS and GCP architectures defined entirely in Terraform. Reproducible environments, cost proportional to use, and no snowflake servers nobody dares touch.

  • Product & platform

    Multi-tenant SaaS, built to be extended

    We build multi-tenant platforms with tenant isolation, row-scoped permissions, plan entitlements and a module system — the architecture our own product runs on, with 164 declared features across 52 shared capabilities.

    See the platform →

  • Robotics & IoT

    Where hardware meets the data platform

    Prototyping, PCB and mechanical design, sensor and device integration, and the ingestion platforms that turn device telemetry into something a business can act on.

Sectors

Where we have shipped.

  • Retail & e-commerce
  • Logistics & supply chain
  • Mobility
  • Healthcare
  • Manufacturing & IoT

Have a problem that looks like one of these?

Tell us what you are trying to do and we will tell you honestly whether we can help.

sales@exadatum.com