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Apus Platform
ARCHITECTURE & TECHNOLOGY

Infrastructure you can scale on with confidence.

Cloud-native, microservices, API-first, event-driven — scales with load, integrates via an open API and processes in real time, ready for global scale.

99.99%
uptime target (SaaS)
Open API
REST & webhooks across every module
24×7
P1 support · Premier
ARCHITECTURE PRINCIPLES

Designed to scale and integrate.

Cloud Native · Microservices

Each function is an independent service, deployed across clouds, auto-scaling under load and upgraded in rolling fashion, module by module.

Multi-cloudAuto-scalingRolling upgrades

API-first · Event-driven

Every capability has an API; services communicate via an event bus, enabling real-time data processing and reactions.

Open APIEvent bus (Kafka)Real-time
ARCHITECTURE DIAGRAM

Five layers, one platform.

Experience

Apps & workspace

Apus Apps (Web)Apus Office (Superapp)Desktop

API & Events

Open integration

REST APIWebhookEvent bus · Kafka

Business services

Microservices

FinanceManufacturing (MES)CRMHR…

Data

Single data layer

PostgreSQLMongoDBRedisQdrant (vector)

Infrastructure

Operations

DockerKubernetesMulti-cloud (AWS · GCP)
FRONT OFFICE ↔ PLATFORM CORE

Specialised software at the front. The platform underneath.

A POS, a PMS, a HIS or a core banking system are all specialised front-office applications. Apus Platform does not replace them — it holds the shared layer behind: master data, stock, purchasing, finance, people and reporting.

The front office is an Apus product

In the industries where Apus ships its own front-office application.

  • Retail POS
  • PMS — Apus Platform

The front office belongs to a third party

The specialised system stays in place; Apus integrates around it.

  • HIS/EMR in healthcare providers
  • Core banking, insurance core
  • Public-service portals and government sector systems

Platform Core — the shared layer

One tenant, one set of master data, one line of figures.

  • Purchasing, stock and lot-level inventory
  • Finance, costing and consolidation
  • People, assets and maintenance
  • Permissions, approvals and audit trail
  • Reporting on reconciled data

Whether the front office is an Apus product or a third-party system changes nothing about how the layer underneath runs. Data scope, write permissions and reconciliation points are defined per implementation.

TECHNOLOGY

A modern stack, proven at scale.

Backend
JavaSpring BootPython
Data
PostgreSQLMongoDBRedisQdrant
Streaming & Messaging
Apache KafkaEvent-drivenWebhook
Infrastructure & Orchestration
DockerKubernetesAWSGoogle Cloud
AI ARCHITECTURE

Hybrid AI: internal models + external LLMs, routed by data sensitivity.

Agents read business data via RAG on a vector store and pick the right model based on data sensitivity.

Internal AI · Local LLM

Models run in your infrastructure for sensitive data; Apus fine-tunes to your business.

Local LLMFine-tuneOn-prem GPU

External AI · External LLM

Powerful LLMs for complex tasks, used only on non-sensitive data.

External LLMPay-as-you-goApus Token

Agents · RAG

AI agents retrieve enterprise knowledge via RAG on a vector store and automate processes.

PythonLangChainRAGQdrant
GLOBAL-READY

Cross-border operations on one platform.

Multi-company · multi-branch · multi-country · multi-currency · multi-language · multi-ledger · parallel standards (IFRS & local GAAP).

Multi-companyMulti-branchMulti-countryMulti-currencyMulti-languageMulti-ledgerIFRS & GAAP
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