Terra API Automates Health Data Access as It Expands Engineering and Sales Teams

Terra API builds a unified integration layer that connects fitness, wellness, sleep, and clinical software to biometric data from wearables, sensors, and blood labs. Based in London, the 25-person startup handles raw device data feeds so developers can integrate user metrics without building custom integrations for dozens of device ecosystems.

Its technical infrastructure relies on AWS with a Python backend, while user-facing interfaces use React, React Native, and Flutter. In a developer overview published by TERRA API, the company demonstrated authenticating users and receiving webhooks with 50 lines of Python code, enabling connections to device providers like Garmin in under three minutes.

Founding Background and Mission

Co-founders Kyriakos Eleftheriou, who serves as CEO, and Raouf Yousfi met while studying at Imperial College London. Eleftheriou, a former member of the Greek Special Forces, relied on heart rate monitors and shoe pods during military training and realized how difficult it was to export performance data across different software tools, as he discussed on the Fitt Insider podcast. Yousfi grew up in Algeria competing as a national swimmer and experienced similar challenges getting biometric data to optimize training and nutrition.

In an interview on Founderbounty, Yousfi explained that the team built an initial minimum viable product featuring Garmin and Fitbit integrations within one week. After pitching Y Combinator, Terra API joined the W21 batch and raised $2.8 million in seed funding. The company has drawn investment from General Catalyst, Samsung NEXT, Next Ventures, MVP Ventures, and Pioneer Fund.

While early customers consisted primarily of fitness platforms, the company's API now powers digital health services, telemedicine providers, sleep trackers, social apps, and clinical trials at academic institutions like Stanford University and Imperial College. On Fitt Insider, Eleftheriou stated that the company's broader goal is to increase the overall utility of healthcare data by giving developers the infrastructure to apply machine learning models to continuous biomarker streams.

Hiring Across AI, Technical Integration, and Sales

Terra API is expanding its technical and commercial organizations in London and remotely. The engineering team is recruiting an entry-level AI Engineer ($50,000–$120,000/year) in London to work on intelligence layer products such as OdinAI and Graph API. The role involves performing data analysis and fine-tuning model performance through machine learning and natural language processing.

For customer technical architecture, the startup is hiring a remote Forward Deployed Engineer ($100,000–$180,000/year) across London, Cyprus, or the US. This engineer serves as a technical bridge to customers, designing data pipelines for AI health labs, insurance actuarial models, and clinical research platforms.

To support product development, Terra API is looking for a mid-level Designer in London to design user experiences for its health operating system and API while building interactive prototypes using code and large language models.

On the business side, the company is hiring a senior Commercial Lead (£70,000–£120,000/year) and a mid-level Sales Strategist (£50,000–£90,000/year) in London. Both roles focus on establishing customer pipelines, closing prospective accounts, and building AI agents to automate internal sales workflows.

Open Roles at Terra API

See all open roles at Terra API