Data Jockey

We wrangle your data and automate your operations.

The Cost of Manual Work

Industry research tells a clear story

0%

of the average workday is spent on repetitive, manual tasks

Source: Clockify Workplace Research
$0.9M

lost per year at the average organization due to poor data quality

Source: Gartner Data Quality Study
0%

error rate in manual data entry under real-world workloads

Source: PeopleXCD / Industry Benchmark

How We Work

Three phases, one team, no disruption

01

We map your operation first.

Before we write a line of code, we sit with your team to understand how the work actually moves and where the bottlenecks are.

02

We build inside your systems.

We automate workflows using the tools your team already knows, so there are no new platforms to learn and adoption happens on day one.

03

We stay on to run it.

The same team that builds the automation stays to operate, maintain, and improve it over time.

What We Automate

We focus on the repetitive, high-volume work that slows your operations down

Reconciliation

Partner files arrive in dozens of formats and rarely match your records. We build systems that ingest, normalize, and reconcile them automatically so your team only touches the true exceptions.

Documents

Your team reads hundreds of pages to extract a handful of data points. We train machines to read those documents with the same accuracy as your best analyst, at a fraction of the time.

Billing & Compliance

Generating bills and filing with regulators takes too many hands and too many hours. We automate the calculation, formatting, and submission so your team can focus on the work that requires real judgment.

How We Earn Your Trust

Our commitments to every client we work with

Full ownership

Every line of code, every automation, and every integration we build belongs to you from day one.

Your environment only

Your data never leaves your servers because we work entirely inside your existing infrastructure.

No disruption

We build on the tools your team already uses. No new platforms to learn, no data migrations, no downtime.

Data Jockey

Let's Talk

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