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 ·

Legacy application modernisationRebuilds the in-house
team can run.

Strangler-pattern migrations off the system nobody wants to touch, one bounded piece at a time, with the old and new running side by side until the numbers match.

Book a consultSee our work
One seam at a time
No big-bang cutover.
Parity measured
Old vs new, same inputs.
Knowledge captured
Docs where your team looks.
Engagement
Built · fixed scope per increment

What you get.

Strangler-pattern migration: one bounded piece at a time, never a big-bang cutover
Old and new running side by side until the numbers match
Parity measured: same inputs, same outputs, in your environment, before anything is switched off
Knowledge captured where your team looks, not in our heads
Engagement: Built · fixed scope per increment · Ask about your migration →
Good for
— A system nobody wants to touch
— A framework three major versions behind
— A migration that has been ‘next quarter’ for two years
We will say no when
— Rewrite it all is the plan, and the only plan
— Nobody can say what the system does today, and nobody wants to find out
Stack · only what we have shipped to production
Monolith → microservices.NET Framework → .NETIIS / EC2 stabilisationRDS migrationsCron → queuesgRPCGraphQLWordPress → custom

From the record.

All case notes →
01 · Digital signage · enterprise
Built · embedded

Signage platform across four continents

Problem — A UK signage business operating across Australia, the US, China and APAC needed a platform its display-manufacturer partners could plug into.
What we did — .NET 6 microservices and Angular on AWS (EKS, ECR, RDS, CloudWatch) with Docker-based CI/CD. Scheduled sync integrations with SharePoint, Power BI and partner sources. Production infrastructure stabilised under sustained memory pressure ahead of a database end-of-support migration.
Measured — Shipped and running across four regions; partner integrations for three major display manufacturers — [ADD UPTIME / DEVICES].
.NET 6AngularAWS EKSRDSDockerCI/CDPower BISharePoint
Client withheld · details on the callAsk about this →
02 · Retail · integrations
Built

Retailer replenishment SDK

Problem — Retailers integrating a replenishment service each failed in their own way.
What we did — .NET Core microservices on Azure Service Fabric with EF Code First, plus an admin module that resolved SDK-level failures across retailer integrations.
Measured — SDK in production across retailer integrations — [ADD RETAILERS].
.NET CoreAzure Service FabricMicroservicesEF Core
Client withheld · details on the callAsk about this →
03 · Enterprise · .NET
Embedded

Process-documentation platform backend

Problem — A browser-extension product that writes process documentation from recorded sessions, with a milestone that could not slip.
What we did — Owned Lambda and hosted worker services (SQS, SNS) across environments and led the refactor that shipped the critical milestone on deadline.
Measured — Critical milestone shipped on the date.
.NETAWS LambdaSQS / SNSWorker services
Client withheld · details on the callAsk about this →
Legacy modernisation · the call

Name the system nobody touches. We will say where to cut first.

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.
REQUESTSFACADERouterMONOLITH · 48 MODULESMONOLITH · 8 OF 48 MODULES LEFTSERVICEAuthSERVICEBillingSERVICEReportsSERVICENotificationsPARITY · OLD VS NEWAUTH—100.0%BILLING—100.0%REPORTS—100.0%NOTIFICATIONS—100.0%12,400 REPLAYED REQUESTS PER SEAM
Each piece moves only when old and new give the same answers. You can stop after any seam and still have a working system.

How it runs.

The same loop as every engagement
Week 0

Map the seams

What the system does, who depends on it, and where it can be cut without anyone noticing.
Week 1

First seam, parity test

The smallest valuable piece chosen; a test that replays real inputs through old and new.
Week 6

First seam cut over

New code taking real traffic for one bounded piece; the old path still there, one flag away.
Then

One seam per increment

The same loop, piece by piece, each one measured, each one reversible.
Fortnightly

The review

What moved, what matched, what the old system still owns. Then the next seam.
DELIVERED ON OUR AGENTIC PIPELINESix agents. A person at every gate.See the pipeline →PLANSTORIESBUILDREVIEWDOCSESCALATE

Questions we get about this.

Longer than a rewrite is promised to take and shorter than a rewrite actually takes. The first seam is live in six weeks; after that you can see the rate and decide the pace.

Then the parity test is the first thing we write: real inputs recorded, replayed through both paths, differences listed. It is the only safe way to learn what the system does.

Yes, and the system is better than when we started: the pieces already moved keep running, and the map of the rest is yours.

The other seven.

All eight end in something running
01Custom software→02Team augmentation→03Data engineering & analytics→04AI & machine learning→05Cloud & DevOps→06Legacy modernisationhere07Mobile→08QA & test automation→