Zyposoft
The plumbing, done properly

Everything you build latersits on top of this.

We build the layer underneath, where your systems run, where the data lives, and how the two talk to each other. Get this right and everything above it gets easier.

Where it runs · Where data lives · How systems talk · One login · Knowing it works
One request, all the way through — illustrativeIllustrative
Someone clicks
A request goes out
Something is announced
Data is read or written
We check who it is
It arrives
All of it is logged
One request, checked all the way
Before
Point-to-point links
Duplicated data
What we build
Every request takes the same checked path, instead of a shortcut somebody built one afternoon.
Who is asking
AuthenticatedScopedAudited
Did it arrive
DeliveryRetrying
AuditRecording
Movingtothecloudisthesmallestpartofthis.Dataisonlyusefulifyouknowwhoownsitandwhatitmeans.Integrationonlyholdsifafailedmessagecanbefoundandsentagain.Andnoneofitlastsunlesssecuritywastherefromthefirstsketch.
Why it gets messy

Nobody plans this mess. It arrives one sensible decision at a time.

1

Everything wired to everything

Each new system means another connection, another translation, and one more thing that can break.

Zyposoft responseConnections built once, reused
Explicit contractsEvent backboneReusable servicesFewer dependencies
2

The same data in six places

The same customer or patient exists in half a dozen systems, and none of them quite agree.

Zyposoft responseOne agreed version
Data contractsLineageDomain ownershipAuthorised access
3

A different login everywhere

Every application has its own idea of who you are and what you are allowed to do.

Zyposoft responseOne login, one set of rules
Federated identityService identityRoles and contextPolicy enforced
4

You cannot see what is happening

A message failed somewhere, data is out of date somewhere, and nobody can tell you where.

Zyposoft responseOne place to look
Logs and metricsTracingIntegration healthData freshness
5

Nobody dares change anything

Touching one system breaks something three systems away, so changes stop happening.

Zyposoft responseClear lines between systems
Clear boundariesVersioned contractsIsolated changeModular architecture
6

Recovery means phoning one person

When something fails, someone digs through logs by hand and fixes it from memory.

Zyposoft responseIt retries, and you can re-send
Retry policyControlled replayReconciliationRecovery workflow
What sits underneath

Five layers, and every one of them has to hold.

01
What people actually touch

The apps, screens and dashboards your teams open every day, and the systems that call them.

What people open
Web applications
Mobile products
Operational dashboards
Clinical & enterprise systems
02
How systems talk

Requests that need an answer now, and announcements that others can pick up in their own time.

Ways systems talk
APIs
Events
Webhooks
Files and batch
03
Where the data lives

Data with an owner, a history of where it came from, and rules about who may read it.

Kinds of data
Operational data
Analytical data
Search and reporting
Data products
04
Who is allowed to do what

Proving who someone is, deciding what they may reach today, and protecting the data either way.

Checks before access
Identity providers
Roles and context
Data policy
Encryption and secrets
05
Keeping it running

Releasing changes, watching it work, and getting it back quickly when something goes wrong.

Keeping it up
Cloud and private
Containers and CI/CD
Logs, metrics, alerts
Backup and recovery
Keeping it safe and visible

You need to know it is safe, see that it is working, and get it back when it is not.

Who can reach what, what happens when something breaks, and whether you can prove afterwards what went on.

How a request travels
An app asks for something
We check who it is
Are they allowed
Is the request valid
The work happens
The far end confirms
All of it is logged
If it failed, we recover
When everything worksDelivered
We know who is askingYour rules allow itThe request looks rightThe system answersIt is logged
When the far end is downRecovered
Something is announcedNobody is listeningIt tries againIt is held safelyThe system comes backIt is sent againThis time it confirms
When it should not go throughBlocked
The request is wrongNothing is touchedNothing sensitive leaksThe reason is recordedSomeone picks it up
The controls behind it
One login, and systems prove who they are too
What you may reach depends on role and situation
Encrypted, with keys kept out of the code
Only the fields actually needed get sent
Requests are checked against an agreed shape
Sending twice does not count twice
Failures retry, and what still fails is set aside
You can re-send it once the far end is back
Both sides get checked against each other
Logs and timings you can actually search
Backups, and a tested way back
A full history of what happened
What it connects to
Zypocare OneZypo Clinical AIIntegration PlatformEnterprise applicationsData platformsCloud environmentsLegacy systemsIdentity providersMonitoring & audit
Cloud and integration architecture must preserve ownership, access boundaries and operational accountability across every system interaction.
Compliance readiness depends on the implemented controls, operating processes and organisation-specific requirements.
What we actually do

Five things we build, depending on what is in your way.

1

Somewhere for it to run

Environments that grow when you need them to — public cloud, private cloud, or your own racks.

Where it should run depends on your security rules, not on fashion.
Application runtimeContainerised deploymentEnvironment isolationCI/CDConfig and secretsPlatform monitoringResilience and recovery
2

Getting the data straight

Data that keeps its meaning, knows where it came from, and has someone answerable for it.

Sharing data does not mean giving up who owns it, or who may see it.
Operational data modelsData integrationData contractsSearch and reportingData qualityLineage and ownershipAnalytical foundations
3

Making systems talk

Connections with an agreed shape, delivery you can rely on, and a view of what is passing through.

Secure APIsEvent publishingContract validationIdempotencyAcknowledgementsRetry and replayReconciliation
4

The old systems nobody replaces

Files dropped on a server at midnight, odd vendor formats, systems older than the team running them.

What we can connect depends on what the old system will let us in through.
AdaptersData transformationFiles and batchProtocol translationControlled migrationFailure handlingMonitoring
5

Knowing it is all working

One place that tells you what is healthy, what is slow, and what has quietly stopped.

LogsMetricsTracingAlertsIntegration healthData freshnessFailure queuesRecovery workflows
Where people use itProduct platform modernisationHealthcare interoperabilityEnterprise application integrationData-platform developmentCloud migration and re-architectureEvent-driven workflowsReliability and recovery
What the right architecture looks like depends on your workload, how sensitive the data is, what has to connect to what, and what you already run. The screens above are illustrations, not a live product.
How to start

Change it in stages you can actually measure.

Start where the risk is worst, prove that part works, then build the shared pieces everything else can reuse.

01
Find out what you actually have
The appsWhere they runWhere data sitsEvery connectionThe loginsWho owns whatWhat happens when it breaks
02
Agree what it should look like
Where the lines areWhere it runsWho owns the dataHow systems talkLoginsSecurityHow you will see it working
03
Build the pieces everything reuses
One loginOne front door for requestsThe announcement layerMonitoringThe logKeys and settings
04
Fix the worst bits first
The riskiest connectionsThe data that must not go wrongThe fragile workflowsThe manual fixesWhat blocks other work
05
Test it hard, then move
Test the connectionsCheck it is fast enoughTest the securityBreak it deliberatelyCheck both sides matchSwitch over carefullyKnow how to go back
06
Run it, and keep it current
MonitoringSupportRoom to growRecoveryVersionsAdding the next systemKeep improving
How long this takes, and in what order, depends on what you are running today and what matters most to you. To be plain about it: we are not promising a fixed timeline, a specific saving, guaranteed speed improvements, that the cloud suits every workload, that anything gets replaced overnight, zero downtime before we have looked, or that we can connect to every vendor.
Zyposoft Technologies is a product engineering company based in Bangalore, building software for healthcare and enterprise operations. Our products are Zypocare One, the connected hospital platform; Zypo Clinical AI, which adds intelligence a clinician can overrule; and the Integration Platform that keeps them working with the systems already in place.
Products
Zypocare OneZypo Clinical AIIntegration Platform
Solutions
Healthcare TransformationEnterprise Product EngineeringAI and AutomationCloud, Data and Integration
Company
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Get in touch
Bangalore, IN
#7, Nisarga Layout
Chikkalsandra
Bangalore 560061
India
info@zyposoft.com
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