Solutions by industry
Every industry has its own rules, legacy systems and busy seasons. Here is the work we do in each, and what a typical engagement looks like.
Financial services
Problems we solve
- Paper-heavy lending and onboarding processes
- Overnight batch jobs that delay reconciliation
- Audit trails that are hard to produce on request
A digital lending platform: online applications, automated credit decisions through your existing bureau and core banking integrations, e-signatures and an officer dashboard. Built as services on Kubernetes with an event log for every decision.
Healthcare
Problems we solve
- Claims systems too old to change safely
- Patient data spread across systems that don't talk
- Portals that fail accessibility reviews
Moving a .NET Framework claims monolith to .NET 8 services on Azure, one claim type at a time, with HL7 FHIR interfaces and full audit logging. The legacy system stays live until each slice is proven.
Logistics
Problems we solve
- Tracking data that arrives hours late
- Routing decisions made in spreadsheets
- Partner integrations held together by email
A streaming platform that ingests GPS and scan events from vehicles and warehouses, predicts arrival times and feeds live operations dashboards, with EDI connections to carriers.
Retail
Problems we solve
- Storefronts that slow down at peak traffic
- Separate stock data for stores and online
- Apps that customers download once and forget
A headless commerce back end and a React Native shopping app with loyalty, store pickup and recommendations, load-tested against the busiest trading day before launch.
Insurance
Problems we solve
- Underwriters retyping data from submission documents
- Policy systems tied to mainframe batch cycles
- Slow quote turnaround for brokers
A document AI pipeline that reads submissions, extracts key fields and routes cases to underwriters, with confidence scores and a human review step for anything uncertain.
Working on something similar?
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