Health data integration API for wearables and AI applications
Terra API operates a health-data integration layer targeting developers and AI agents, built on AWS + GCP with Python, Swift, and Kotlin SDKs. The tech stack reflects dual demands: mobile-first device connectivity (Flutter, React Native, Swift, Kotlin) and backend data engineering (Python, Go, Graph API adoption). Pain-point clustering—normalizing heterogeneous health streams, ingesting at scale, extracting predictive signals—reveals the core friction: wearable ecosystems are fragmented, and real-time biometric normalization remains computationally expensive.
Terra API provides wearable data interoperability for developers building health and fitness applications. The product surface spans three layers: lightweight SDKs for mobile device data access (iOS/Android), real-time streaming pipelines for continuous biometric ingest, and higher-order analytics (predictive modeling, dynamic playbooks, research briefs) that extract actionable insights from multi-source health data. Founded in 2021 and based in London with ~40 employees, the company is engineering-heavy (5 engineers, 1 data scientist, 1 researcher) and actively scaling infrastructure to support millions of users. Hiring has decelerated in the past month, with most open roles at mid-level.
Python, Go, Swift, Kotlin, React, Next.js, and TypeScript on the application layer; AWS and GCP for infrastructure. Recently adopting Graph API. Also uses OpenTelemetry for observability.
London, United Kingdom. The company was founded in 2021 and employs 11–50 people, with active hiring in the UK and United States.
Real-time wearable data streaming, SDK packages for multi-platform device access, front-end widgets, predictive health modeling, services monitoring with anomaly detection, and research-backed playbooks for actionable health insights.
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