Industries / Manufacturing

Data infrastructure
for manufacturing
operations teams.

We build operational data pipelines, product catalog systems, and cloud infrastructure for industrial component manufacturers, process facilities, and production operations.

Systems your operations team can own and maintain. Built to hand over, not to create vendor dependency.

The problem

Your product data lives in spreadsheets.
Your website shows discontinued parts.

Product catalogs maintained in spreadsheets shared by email. Sales teams directing customers to pages showing discontinued products and incorrect specifications. The content management system requires a developer for any change, and that developer left the company two years ago.

Operational data sits in ERP systems, historians, and SCADA platforms that were never designed to share data. Cross-system reporting means someone pulling numbers from three places and reconciling them manually.

Equipment replacement cycles in manufacturing are long. You are supporting multiple generations of tooling, multiple data formats, and multiple systems that need to work together despite never being designed to.

What we build for manufacturing
01

Product Catalog and Website Systems

Websites with CMS-managed product catalogs that operations teams can update without developer involvement. Live ERP integration for accurate availability. Structured data for search indexing. Sites built to hand over.

Next.js / Sanity CMSERP integrationAlgolia faceted searchSchema.org Product markup
02

Operational Data Pipelines

ELT pipelines connecting ERP systems, historians, and SCADA platforms into a unified reporting layer. Cross-system visibility for production, quality, and supply chain teams without manual reconciliation.

ERP and historian integrationdbt transformationOperational analyticsCross-system reporting
03

Cloud Infrastructure and Platform Engineering

AWS, GCP, or Azure environments built for manufacturing workloads. Terraform-managed, documented, and handed over to your IT team with runbooks for common operational scenarios.

Terraform IaCMulti-cloud supportCost optimisationTeam handover
04

AI and Predictive Systems

Production-deployed models for predictive maintenance, quality monitoring, and yield optimisation. Operator-facing interfaces designed for the people who will actually act on the output.

Predictive maintenanceQuality monitoringOperator dashboardsModel drift detection
Frequently asked questions

How do you build a product catalog website that operations teams can maintain?

We build product catalog websites using Next.js with a headless CMS (typically Sanity) that operations teams can update without developer involvement. Product specifications are stored as structured, typed fields rather than free text, enabling faceted search and filtering. Live ERP integration displays accurate availability status. Schema.org Product markup ensures search engine indexing. The result is a site your team owns and maintains from day one.

Can you integrate our ERP system with the website?

Yes. We build server-side integrations with ERP systems to display live product availability on every product page. This eliminates the stale availability problem where customers see "In Stock" for discontinued products. The integration fetches availability per request, adding approximately 80ms to page load but ensuring accuracy. We have integrated with both well-documented and undocumented ERP APIs.

How do you handle migrating thousands of products from spreadsheets?

We build custom bulk import scripts that clean, normalise, and migrate product data from spreadsheets into the CMS. This includes deduplication, specification standardisation (converting inconsistent entries like "M12", "12mm", and "12 mm" to a single canonical format), and category taxonomy mapping. Data cleaning typically takes a full week for catalogs that have been maintained by multiple people over several years.

What operational data systems do you build for manufacturers?

We build ELT pipelines connecting ERP systems, historians, and SCADA platforms into unified reporting layers. This gives production, quality, and supply chain teams cross-system visibility without manual reconciliation. For predictive use cases, we deploy ML models with operator-facing interfaces designed for the people who will act on the output, not data scientists.

Your operations data
deserves better than spreadsheets.

Talk to us about your manufacturing data and systems challenges.