From raw data to working software
Most consultancies stop at the report. We take data problems all the way through to production: engineered pipelines, trusted analytics and applications your people use every day. Much of our work is with asset-intensive operations such as fleets, equipment and infrastructure, where data quality directly affects real-world decisions. The same methods apply to any asset-intensive operation: mining, rail, utilities, logistics.
Data Engineering & Integration
We collect data from disparate operational systems and integrate it into governed, analysis-ready repositories. That means resilient batch and streaming pipelines, warehouse design grounded in Kimball dimensional modelling, and the unglamorous work that makes everything else possible: data quality, lineage and reconciliation. The result is a single, trusted foundation instead of a patchwork of exports and spreadsheets.
Analytics & Visualisation
Dashboards only earn their keep when people actually use them to decide things. We design and build interactive reporting that reflects how your organisation really works: the right metrics, at the right grain, for the right audience. We build on leading BI platforms, with particular depth in Apache Superset. We also uplift internal teams so self-service analytics outlives the engagement.
Advanced & Predictive Analytics
We apply statistical methods where they genuinely pay off: forecasting demand, detecting anomalies, finding root causes and predicting failures before they happen. A particular strength is predictive and condition-based maintenance analytics for large equipment fleets, using usage and health data to schedule maintenance on evidence instead of fixed intervals.
Cloud-Native Application Development
When a dashboard isn't enough, we build the application: custom, containerised web software that puts data and workflow together for operational users. Our teams design for scale, security and maintainability from the first sprint, using proven open-source foundations instead of exotic dependencies, so what we hand over is something your organisation can own and evolve.
Platform Engineering & DevSecOps
Good software needs a good home. We build and operate Kubernetes-based platforms with CI/CD and GitOps at the core, so releases are repeatable, environments are consistent, and security is engineered in: patching, vulnerability management and auditability as routine practice, not an afterthought. We're comfortable working within strict security and compliance regimes.
Agile Delivery & Advisory
We deliver with small, senior, cross-skilled teams and an honest cadence: working software early, feedback continuously, and steady, visible progress. Beyond delivery, we advise on data strategy, architecture and team capability, including helping organisations recover projects that have drifted off course.
The practices behind the capabilities
Whatever we're building, the same disciplines apply. They're a big part of why our work keeps running after we hand it over.
- Design first Solution architecture and data design are worked through before code is written, and revisited as we learn.
- Tested by default Automated testing is built into the delivery pipeline, not bolted on at the end.
- Documented as we go Documentation is a deliverable: designs, runbooks and handover material your team can actually use.
- Automated delivery CI/CD on every project, so releases are small, frequent and repeatable.
Why we lead with open source
In secure and regulated environments, open source has practical advantages: every line that runs can be audited, there are no per-seat licences quietly compounding, and nothing we build for you is held hostage by a vendor. You own the result outright.
We're specialists, not ideologues. Plenty of our work runs on commercial platforms as well.
Technologies we specialise in
Highlights include operating and extending Apache Superset as an enterprise dashboarding service, and building production React/Django applications on Kubernetes.
Commercial platforms, same discipline
Open source is our centre of gravity, not a rule. Large organisations run serious commercial infrastructure, and we build and operate on it to the same engineering standard.
Platforms we work with
That includes operating and upgrading Red Hat OpenShift and IBM Storage Fusion in production, running GitLab and JFrog Artifactory delivery tooling, and building and sustaining bidirectional SAP data interfaces.
Lyticly is a Red Hat and IBM partner, and is listed in the IBM Cloud catalogue.
Not sure where to start?
Start with the decision you wish you could make today but can't. We'll work backwards from there.