We turn raw data into systems that run themselves.
Ailytics designs and builds data pipelines, analytics infrastructure, dashboards and software that let teams stop babysitting spreadsheets and start shipping decisions.
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.
Analytics & BI
Dashboards people actually open. Clear metric definitions, fast queries, and reporting infrastructure that survives a headcount change.
AI & ML Systems
Models that ship, get monitored, and get retrained — not notebooks that live on one engineer's laptop.
Custom Software
Internal tools and customer-facing products, built on infrastructure your team can actually maintain after we leave.
Four stages, in order, every time
The sequence matters — we don't build before we've architected, and we don't architect before we understand what's actually broken.
Audit & scope
We map your current data flow, find the bottlenecks, and scope what's worth building first.
Design the system
Architecture decisions get documented and reviewed with your team before a line of code ships.
Ship in weeks
Working software in two-week increments, deployed to a real environment, not a demo branch.
Monitor & hand off
Alerting, documentation, and a runbook your team can operate without calling us at 2am.
Systems in production, not case studies in a PDF
Real-time fraud signal pipeline
Replaced a batch job that ran once nightly with a streaming pipeline that flags risk in under a second.
Unified metrics layer
Merged six regional spreadsheets and three source systems into one warehouse with a single source of truth.
Ops console for care teams
Custom internal app replacing a stack of shared spreadsheets and Slack threads for daily case routing.
Boring technology, on purpose
We pick tools that will still have documentation and hires available in five years.
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.
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.