Data engineering · analytics · production systems One accountable technical team
For teams that have outgrown fragile data workflows

From messy data to production-ready systems.

Ailytics is the accountable engineering team for growing companies that need reliable pipelines, trusted metrics, and software their own team can maintain.

40+
systems shipped
6.2B
records processed / mo
4 wks
avg. time to first prod release
pipeline_status.sh
// nightly ingestion — orders_db → warehouse
source: "postgres.orders"
rows_synced: 1,204,981
latency_p95: 340ms
errors: 0
✓ transform: dbt models (18) passed
✓ tests: 42/42 passed
✓ deployed to production
● live run #1189 · 00:00:07

Four disciplines, one accountable team

No handoffs between agencies for the pipeline, the dashboard, and the app that sits on top. One team owns the whole stack.

Data Engineering

Pipelines and warehouses that don't fall over the day your data doubles. Built for the volume you'll have next year, not just today.

ETL/ELTdbtAirflowWarehousing

Analytics & BI

Dashboards people actually open. Clear metric definitions, fast queries, and reporting infrastructure that survives a headcount change.

LookerMetrics layerReporting

AI & ML Systems

Models that ship, get monitored, and get retrained — not notebooks that live on one engineer's laptop.

MLOpsLLM integrationForecasting

Custom Software

Internal tools and customer-facing products, built on infrastructure your team can actually maintain after we leave.

Web appsAPIsInternal tools

When your company has outgrown its data stack

We work best with data-heavy teams that have real operational complexity, a capable internal team, and a backlog they cannot clear alone.

Reliable data, not more dashboards

Repair brittle pipelines, disconnected source systems, and metrics that disagree before they become a larger operational problem.

Senior capacity when it matters

Bring in an engineering partner for a migration, modernization, or production push without assembling a new team from scratch.

Systems your team owns

Get documented architecture, operational runbooks, and a handoff designed so your engineers can extend the system confidently.

Clear ownership from audit to handoff

We start with the constraint, agree on the architecture, deliver in working increments, and leave your team with a system they can operate.

01 / discover

Audit & scope

We map your current data flow, find the bottlenecks, and scope what's worth building first.

02 / architect

Design the system

Architecture decisions get documented and reviewed with your team before a line of code ships.

03 / build

Ship in weeks

Working software in two-week increments, deployed to a real environment, not a demo branch.

04 / operate

Monitor & hand off

Alerting, documentation, and a runbook your team can operate without calling us at 2am.

Engineering outcomes that matter after launch

Examples of the kinds of operational improvements we design for: lower latency, less manual reporting, and systems people actually use.

Fintech · Data platform

Real-time fraud signal pipeline

Replaced a batch job that ran once nightly with a streaming pipeline that flags risk in under a second.

340ms
p95 latency
-71%
false positives
Logistics · Analytics

Unified metrics layer

Merged six regional spreadsheets and three source systems into one warehouse with a single source of truth.

12
teams onboarded
-18h/wk
manual reporting
Healthtech · Internal tooling

Ops console for care teams

Custom internal app replacing a stack of shared spreadsheets and Slack threads for daily case routing.

4 wks
to first release
98%
weekly active use

Boring technology, on purpose

We pick tools that will still have documentation and hires available in five years.

PythonPostgreSQLSnowflakedbt AirflowKubernetesAWSGCP ReactTypeScriptTerraformKafka

Common questions before kicking off

How long does a typical project take?

Most engagements reach a first production release in about four weeks, then continue in two-week increments. Full scope and timeline depend on the state of your existing systems.

Do you work with early-stage startups or only larger companies?

Both. We scope projects to the size of the problem, not a fixed package, so early-stage teams and established companies work with us on different but comparably structured engagements.

Will our team be able to maintain the system after you leave?

Yes. Every engagement includes documentation, a runbook, and a handoff period where your engineers operate the system with us still available for support.

What industries do you work in?

We've shipped systems in fintech, logistics, and healthtech, and generally work well with any team that has real operational data and outgrown manual processes.

What happens after the first release?

We agree the next priorities in two-week increments and provide monitoring, documentation, and a practical handoff path for your team.

Tell us what's broken

Most engagements start with a 30-minute audit call — no deck, just a look at your current setup and where it's costing you time.

Response time
Within 1 business day
First conversation
A focused 30-minute audit of the problem and the next practical step.

We will use these details only to respond to your enquiry.

Book a call