HopsigTechnologies
Services▾
01Custom softwareProducts built end to end02Team augmentationEngineers inside your team03Data engineering & analyticsPipelines and reporting people stop arguing with04AI & machine learningFeatures that have to be right, not impressive05Cloud & DevOpsDeploys that are boring06Legacy modernisationRebuilds the in-house team can run07MobileiOS and Android without two teams08QA & test automationSuites that make deploys boring
All eight, and the three ways we work →
Industries▾
01Fintech & payments150+ · merchants, four months after launch02Retail & e-commerce5× · repeat transactions, enterprise loyalty03Healthcare & life sciences60% · less analysis time on preclinical data04Logistics, travel & marketplacesReal-time · load status and assignments over WebSockets05IoT, signage & the built environment200+ · buildings on one telemetry platform06SaaS, platforms & AI products10 · engineers on the agentic delivery path
All six →
AI transformationAgentic flow
01Work32 case notes, client names withheld02ApproachHow we staff, run and measure an account03NotesThings we would say on the call anyway04Working with usContracts, IP, data, security, invoicing05For agenciesWhite-label delivery under your brand06JoinSenior-led, and what that means07Why not just hire?The honest table
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HopsigTechnologies
We scope, build and run software and AI products end to end, or put engineers inside the team you already have.
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Services
Custom softwareTeam augmentationData engineering & analyticsAI & machine learningCloud & DevOpsLegacy modernisationMobileQA & test automation
Industries
Fintech & paymentsRetail & e-commerceHealthcare & life sciencesLogistics, travel & marketplacesIoT, signage & the built environmentSaaS, platforms & AI products
Company
ApproachWorkNotesAI transformationAgentic flowFor agenciesJoinWorking with us
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Hopsig Technologies LLC · Sheridan, Wyoming, USA · Delivery Centre: Lahore, Pakistan© 2026 · hopsig.com · info@hopsig.com ·

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 consultSee 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

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 →
03
Online therapy platform, concept to public launch
Healthcare · telemedicine
Publicly launched — [ADD SESSIONS / PRACTITIONERS].
Built
04
Preventive alerting in nursing homes
Healthcare · IoT
Deployed across multiple homes — [ADD HOMES / ALERT PRECISION].
Data & AI
05
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.

Services that fit.

All eight →
01Custom softwareThe member, patient or clinician journey, from discovery to launch.→04AI & machine learningImaging analysis and alerting with the evaluation to defend it.→03Data engineering & analyticsHarmonised research data and the dashboards over it.→08QA & test automationTest coverage a regulator can read.→

The other industries.

All six →
01Fintech & payments→02Retail & e-commerce→03Healthcare & life scienceshere04Logistics, travel & marketplaces→05IoT, signage & the built environment→06SaaS, platforms & AI products→
Healthcare · the call

Tell us who has to sign it off. We will design for them.

Bring the problem, not a brief. If it is outside what we do well, we will say which of our contacts to call instead.

Book a consultSee our work
Or email info@hopsig.com — reply within one working day.
YOUR CLOUD ACCOUNT · YOUR REGION01Upload02Model03Clinician review04Sign-offSTUDY 03811 EDITSIGNEDAUDIT TRAIL · APPEND-ONLY09:14:02uploaderstudy uploaded3f9a…c2109:14:09model v2.3findings drafted, confidence 0.918b02…7de09:31:44clinicianfindings amended (1 edit)c47e…a1009:33:10supervisorsigned offe9d1…5bb09:40:12engineeraccess granted, 60 min, ticket 4822a6c…f03DELIVERY TEAMLahoreCLOSED · LOGGEDBAA / DPA [TO CONFIRM]DATA STAYS IN YOURCLOUD ACCOUNTAUDIT LOG APPEND-ONLYACCESS TIME-BOXEDAND LOGGEDNO STANDING ACCESS TOPATIENT DATA
Every step leaves an audit row a reviewer can trace. Patient data stays in your cloud; engineer access is requested, time-boxed and logged.