How we shipped a production-ready health data pipeline
— complete with audit logs, scheduling, and data models
— in under 4 weeks
Salus Health provides a comprehensive virtual care platform for cardiovascular patients, integrating at-home testing, wearable data, and coaching to help patients manage and recover from heart conditions.
Before working with Cohesion Labs, Salus Health’s internal team faced:
Thousands of daily data points from wearables, at-home testing kits, coaching logs, and more were being moved manually between systems.
Different platforms each had unique REST or GraphQL APIs, requiring ongoing developer time to maintain.
Their central AI model relied on timely, structured data to generate personalized care recommendations, but delays reduced its effectiveness.
We were spending hours every week just getting the data into the right place.
Salus Health partnered with Cohesion Labs to design and implement a unified data integration system connecting internal and external data sources to seamlessly feed into Salus’s centralized AI, enabling informed, personalized rehabilitation plans for clients.
4 Weeks
from kickoff to production
100%
automation of previously manual data flows
Thousands
of daily data points processed with no additional headcount
Zero
reported data sync failures since launch
The speed from kickoff to production was incredible… we went from manual processes to having a fully automated pipeline in less than a month.
Reduced lag time from hours to seconds for patient data reaching Salus’s AI system.
Eliminated manual data entry, allowing team members to focus on patient outcomes.
New integrations can be added in hours, not days, supporting rapid feature growth.
Cohesion Labs was professional, fast, and on top of every detail. They understood our goals immediately and delivered exactly what we needed