Healthtech · Clinical Software · 1000+ · North America #b027_23

Context

We run front-desk check-in, intake and patient outreach software used by many provider organizations, plus related payment and data services.

Industry

Healthtech · Clinical Software

Size

1000+ employees

Region

North America

Tools budget

$20K+ per month

Needs

AI coding assistants. Our engineers now write code with AI assistants, and we need guardrails confirming that generated code meets security and privacy rules.

Today: senior engineers expected to use AI coding tools and check their output for security · Urgency: now

APM & distributed tracing. Our distributed backend mixes several languages and message queues, and tracing a slow patient check-in across them is painful.

Today: service owners running monitoring and reliability work across distributed backends on a public cloud · Urgency: now

Data pipelines & integration. Very large volumes of intake and engagement data must flow reliably into our analytics and patient-matching algorithms.

Today: a data engineering group ingesting very large volumes for analytics and product features · Urgency: this year

Who decides

vp engineering · procurement

Expects from suppliers

Tracing across message-queue based services; Policy controls for AI-generated code; Handles very high data volumes reliably

Not a fit

Single-language observability tools; Small vendors lacking enterprise security attestations

Stack

multi-cloud, CI/CD pipeline in place, LLM APIs in production, data warehouse: cloud

Buying triggers

AI adoption push, scaling transaction volume