Healthcare & life sciences software developmentSoftware a regulator
will sign off.

Insurance platforms, telemedicine, surgical imaging, preclinical research data and care-home IoT: built to be supervised, audited and still used.

Book a consult See our work

60%

less analysis time on preclinical data

HIPAA-grade

handling of patient data and imaging

Supervised

insurance platform launched under regulation

Validated

IoT alerting proven in real care settings before scaling

Every step leaves an audit row a reviewer can trace. Patient data stays in your cloud; engineer access is requested, time-boxed and logged.

What we have shipped here.

5 case notes · client names withheld

01 · Healthcare · regulated

Built

Health-insurance platform under supervision

Problem — A regulated insurer needed a digital platform that a supervisor would sign off and a member could actually use.

What we did — Mapped the underwriting and claims workflow before designing against it; balanced regulatory constraints against a usable member journey, from discovery to launch.

Measured — Launched under regulatory supervision — [ADD MEMBERS / CLAIMS].

Regulated deliveryUnderwritingClaimsCompliance

Client withheld · details on the callAsk about this →

02 · Healthcare

Built

Surgical imaging platform with automated analysis

Problem — Surgeons and clinicians needed one workflow for patient imaging, with analysis that did not wait for a human to open every file.

What we did — Two backends where each fits: Node.js/Express for workflow, Python/FastAPI for the models. Computer-vision analysis of medical images (OpenCV, TensorFlow). Role-based access and HIPAA-grade handling of patient data. PostgreSQL, imaging files on AWS S3, a real-time React front end.

Measured — Workflow time and review backlog, before and after — [ADD THE NUMBER].

Node.jsExpressFastAPIOpenCVTensorFlowPostgreSQLAWS S3React

Client withheld · details on the callAsk about this →

Online therapy platform, concept to public launch

Healthcare · telemedicine

Publicly launched — [ADD SESSIONS / PRACTITIONERS].

Built

Preventive alerting in nursing homes

Healthcare · IoT

Deployed across multiple homes — [ADD HOMES / ALERT PRECISION].

Data & AI

Preclinical research portal for global labs

Life sciences · data

Data analysis time down 60%. 100% of data visible across global teams. Predictive accuracy up.

Data & AI

All 32 case notes →

What this industry asks for

The three questions we get before the first call ends.

01Regulatory sign-offMap the underwriting, claims or clinical workflow before designing against it. Keep a document a supervisor can read beside the product a member can use.

02Patient dataRole-based access, HIPAA-grade handling, imaging on object storage with audit trails. Nothing leaves the account it lives in.

03Trust in the alertValidate in real care settings before scaling. A model's output has to earn a clinician's trust, so precision is measured before rollout.