Data Engineering · Analytics · AI

Data & AI that ships to production.

We build the data platforms, dashboards, and AI systems your business runs on — tested, documented, and owned by your team. Whatever your industry, first value lands in weeks, not quarters.

8+
industries served, from sports to healthcare
200+
tested data models running in production
40+
ETL & ML jobs executing every week
6 wks
typical time from kickoff to first live system
Trusted by teams worldwide
Client logo Client logo Client logo Client logo Client logo Labsmit
Services

Four ways we help

Every engagement is scoped to your situation. Most combine elements of several — that's fine, that's what the discovery call is for.

01

Analytics & Decision Dashboards

Real-time dashboards built around the metrics that actually run your business — revenue, operations, retention, quality — with alerts that catch problems while they're still small.

  • One set of numbers across every team
  • Manual reporting eliminated
  • Proactive alerts, not post-mortems
Learn more →
02

Data Platforms & Engineering

Cloud warehouses and pipelines on BigQuery, Snowflake, Redshift, or Fabric — with tested dbt models, orchestration, and documentation your team can actually maintain.

  • All your sources connected and tested
  • Pipelines that run without babysitting
  • Your analysts self-serve
Learn more →
03

AI & Machine Learning

Forecasting, anomaly detection, and LLM-powered automation deployed to production in weeks — with documented accuracy, monitored drift, and your team trained to run them.

  • Models live in production, not notebooks
  • Measurable accuracy and ROI
  • LLM agents and automation done right
Learn more →
04

Fractional Head of Data

Senior data leadership without the 6-month search and $300K+ commitment. Strategy, roadmap, team mentorship — and hands-on execution, not just advice.

  • Senior leadership from week one
  • Clear roadmap and priorities
  • Team development and hiring support
Learn more →
Stack

Tools we work with

We build in your cloud, with tools your team can own — no proprietary lock-in.

Clouds
AWSGoogle CloudAzure
Warehouses & Lakes
SnowflakeBigQueryRedshiftMicrosoft FabricAthena + S3
Data Engineering
dbtApache SparkAWS GlueStep FunctionsDagsterAirflowdltAirbyteTerraform
AI & ML
PythonXGBoost / LightGBMscikit-learnClaude & LLM APIsAI agents & MCP
Analytics & BI
Looker StudioPower BIDash / PlotlyStreamlit
Sound familiar?

The problems we keep solving

Different industries, same patterns. They're structural — and they're fixable.

The visibility gap

Data lives in your ERP, CRM, spreadsheets, and legacy systems. When leadership asks for a number, it takes three people and two days — and by the time anyone sees a report, it's outdated.

The capacity trap

Engineers spend 70% of their time on data plumbing. Analysts are stuck in report-factory mode. Everyone's underwater, so the infrastructure never improves.

Reactive decisions

Churn spikes, quality escapes, missed SLAs — discovered when customers complain. By then, the damage is on the P&L and the meeting is about blame, not prevention.

Failed initiatives

Tools that became shelfware. AI pilots that never deployed. Projects that stalled when someone left. You've tried to fix this before — and you're still deciding on spreadsheets you can't fully trust.

Evidence

Measured outcomes, across industries

Sports Analytics
40+
ETL jobs running weekly
20+
leagues processed

Player analytics platform scoring every match event across 20+ football leagues with custom ML models (expected goals, threat, pass value). Weekly AWS pipeline — Step Functions, Glue, ECS — feeding live scouting dashboards used for real transfer decisions.

Health & Wellness
150K+
customer profiles unified across two platforms
6
subscription segments tracked by cohort

Subscription health brand operating across two commerce platforms with disjoint customer bases. Unified 150K+ profiles, built cohort-based renewal and churn analysis across billing cycles and prescription renewals, with privacy-tiered handling of sensitive health data.

AI Agents & Assistants
24/7
self-serve answers for ops teams
0
SQL needed to ask a question

Conversational data assistant for a workforce staffing agency: AI agents answer operational questions in natural language directly from live systems — with least-privilege data access, and AI-generated dashboards and pipeline scaffolding on the roadmap.

Workforce Staffing
200+
tested dbt models in production
30h
weekly manual reporting eliminated

Staffing agency placing workers across hundreds of client sites. Full BigQuery + dbt warehouse, client-facing KPI marts, automated HR and time-tracking integrations, and executive dashboards for operational decisions.

Repair & Reverse Logistics
23%
reduction in aging write-offs
3d → 0
reporting lag eliminated

Global repair partner processing 2M+ units annually. A visibility gap was letting inventory age undetected until it hit the P&L. Live control tower deployed in 6 weeks.

E-commerce
$150K
redundant tooling eliminated
4 mo
to full-time hire clarity

Mid-market company with a data team but no leadership. Fractional engagement set strategy, rationalized the stack, and defined the hiring profile for a permanent Head of Data.

What clients say

In their words

"
Full knowledge of the AWS ecosystem. DataPulse took on an extremely complex codebase — Glue, Lambda, and Step Functions pipelines, S3 storage, and a front-end analytics site — and fully owned it. They worked hard to understand what we're trying to accomplish with our analytics and algorithms, are personally connected to the result, and keep making good suggestions that improve the robustness and efficiency of our platform.
Founder Sports analytics platform
"
A one-of-a-kind partner. Their skill as data engineers shines through their communication, problem-solving, and ability to execute very complex tasks. They helped us improve and document a very complicated ETL process that has saved us a lot of headaches in the long run. I look forward to working with them again.
Data Lead Railway infrastructure operator
Approach

Diagnose. Build. Hand off.

A structured process that puts working systems in production in weeks — and leaves your team owning them.

01

Diagnose

We map your current state — systems, data sources, pain points, organizational constraints. No generic assessments: we identify what's broken, what's working, and what matters most.

Deliverable: a clear picture of current state and a prioritized roadmap for what to build.
02

Build

We build production-ready systems fast. Dashboards, data platforms, AI models — tested, documented, and designed to scale. First value delivered in weeks.

Deliverable: working systems in production with documented architecture and runbooks.
03

Hand off

We transfer knowledge systematically — documentation, training sessions, pair programming. When we step back, your team owns what we built and can extend it.

Deliverable: your team trained to maintain, operate, and extend everything — no dependency on us.

Ready to move forward?

A 30-minute discovery call. No pitch deck. We'll discuss what's broken, what you've tried, and whether we're the right fit. If we're not, we'll tell you.

Book a discovery call