Salt Square

Digital health

Powering a virtual care platform for a US digital health company

For years, Salt Square has been a core engineering partner to a US virtual care navigation company. At peak one of Salt Square's largest engagements, the work spans native apps, DevOps, QA and AI product engineering on the platform that connects patients to care.

The challenge

The client provides care navigation, triage and patient engagement for health plans and providers. Sustaining that platform, from native apps and clinical operations tooling to an evolving AI product line, required an engineering partner that could cover multiple disciplines, flex with product priorities, and provide time-zone coverage that extended the client's own working day.

What we did

  • Provided a long-running, multi-disciplinary team across native app engineering, DevOps and QA, integrated into the client's product and engineering organization
  • Supported clinical operations with dedicated IT resources, where European time-zone coverage gave the client early-day support their US teams could not
  • Contributed to the patient-facing app through to general-availability readiness
  • Engineered the next product phase: an extensible AI agent architecture handling provider scheduling, gaps-in-care and proactive patient outreach
  • Ran QA strategy and tooling direction, including automated end-to-end testing, and product analytics instrumentation
  • Structured fixed-budget delivery options for defined workstreams, giving the client cost predictability with defined deliverables

Results

  • A patient-facing app carried to GA readiness and a platform supported through years of production operation
  • Engineering coverage across four disciplines from a single partner, with follow-the-sun support benefits
  • A relationship durable enough to flex with the client's strategy: scaling up in growth phases and transitioning cleanly when the client restructured its engineering organization
  • Salt Square's AI enablement practices (design-evolution workflows, AI-assisted delivery) demonstrated to the client's CTO as part of the ongoing partnership

Tech

Swift, Kotlin, cloud infrastructure and DevOps, automated end-to-end testing, product analytics and observability tooling, AI agent architecture

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