Where we've done it before
Six sectors, and a published case study behind every one. If yours isn't here, the engineering usually still is. The constraints change more than the work does.
Healthcare & life sciences
Clinical and research teams with large volumes of data and a low tolerance for downtime. Detection models, research compute, and search across medical content.
3 case studies
Software & SaaS
Product teams whose infrastructure has outgrown its original design. Modernization, Kubernetes, CI/CD, and getting the cloud bill back under control.
3 case studies
Retail & consumer
Businesses moving physical goods, where the data pipeline and the storefront both have to stay up. Automated pipelines, performance, and scale.
3 case studies
Property & real estate
Document-heavy operations where the paperwork is the bottleneck. Extraction from contracts and forms, plus the analytics underneath.
2 case studies
Media & marketing
Agencies and platforms processing media and audience data at volume. Recognition models, discovery tooling, and serverless processing.
3 case studies
Finance & operations
Back-office work where accuracy matters and the reporting is assembled by hand. Forecasting, case management, and secure infrastructure.
3 case studies
Government & public sector
Modernization, data and AI, and security engineering for public-sector organizations, with the procurement details a contracting team asks for: UEI, CAGE, NAICS, and a named point of contact.
Capabilities & company informationNot seeing your sector?
Tell us what your team spends its week on. The industry matters less than the workflow.
No obligation, no sales pitch.