Multi-tenant SaaS products, engineered to scale.

We architect and build multi-tenant SaaS platforms: domain-driven modules, strict tenant isolation and cloud-native delivery.

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Multi-tenant by default
Isolation by design
Cloud-native delivery
DDD API-first Microservices Event-driven
Our work

We Build SaaS for global enterprises

Real screens from SaaS products built by our team: HR, hospitality, geotechnical reporting all.

ntouch website: AI-powered hospitality platform

Multi-property hospitality SaaS with AI pricing, live OTA sync and ZATCA invoicing, running 40+ hotels across Saudi Arabia.

Read ntouch case study
Luna HR platform: module navigation over the HR dashboard

UK HR platform covering leave, expenses, training and performance, with per-company tenancy and role-based approvals.

Read Luna HR case study
RSLog geotechnical data entry: test hole details and coordinates

Geotechnical logging and reporting for Rocscience: field data capture, lab tests and generated borehole logs in one workspace.

Read RSLog case study
Composite screenshot: hospitality PMS, RSLog geotechnical reporting and a reservation calendar
Architecture

The software architecture patterns we build on

Multi-tenant foundation

One codebase serving every customer, with tenant context enforced at the data layer rather than trusted from the client.

Shared schemaPer-tenant config
AcmeGlobexInitech
Tenant-scoped application
One database, row-level security

Modular monolith to services

Clear module boundaries inside one deployable, already split along the seams you would extract later when a module needs its own release cycle.

Clean seamsIndependent deploys
OrdersBillingIdentity
One deployable
Billing extracted as a service

Domain-driven design

Bounded contexts, aggregates and a shared language with your business team, so the model in code matches the model in the room.

Bounded contextsCommon language
Sales context
Fulfilment context
Shared language

API-first and event-driven

The contract comes before the implementation, and domain events move slow work off the request path so integrations never block a user action.

OpenAPIMessage bus
Versioned REST / GraphQL
Async workers

Cloud-native at scale

Containers, managed services and infrastructure as code with autoscaling, blue-green releases and sharding once one database stops being the right answer.

IaCCI/CDTenant shards
Read replicas and tenant shards
Tenancy models

Single-tenant, multi-tenant, or a mix of both

Pooled multi-tenant

Shared infrastructure and schema, isolated by tenant identity on every query.

  • Lowest cost per tenant
  • Row-level security and tenant guards
  • One migration for every customer
  • Best fit for self-serve growth
IsolationLogical
Cost per tenantLowest
Ops overheadLow
Self-serve and high-volume SaaS

Bridge model

Shared application, separate schema or database per tenant.

  • Data separated at the storage layer
  • Per-tenant backup and restore
  • Noisy-neighbour risk contained
  • Common landing spot for B2B SaaS
IsolationStorage
Cost per tenantModerate
Ops overheadModerate
B2B SaaS with mid-market buyers

Siloed single-tenant

Dedicated stack per tenant, deployed from the same pipeline.

  • Strongest isolation guarantee
  • Regional data residency
  • Per-tenant release windows
  • Enterprise and regulated buyers
IsolationPhysical
Cost per tenantHighest
Ops overheadHigh
Enterprise and regulated industries
Industries & stack

Where our platforms run, and what they run on

6+Industries served, from hospitality to geotechnical engineering
15+SaaS platforms live globally across Europe, the Gulf and Asia
5+Backend technologies in production: .NET, Python, Node.js and more
3Major clouds deployed on: AWS, Azure and Google Cloud

Industries we serve

Each one brought its own compliance, integration and reporting demands, and those shaped how we build.

HospitalityMulti-property PMS, channel management and AI pricing.
HR & workforceLeave, expenses, training and performance in one platform.
Healthcare & pharmacyMulti-vendor ordering, prescriptions and delivery tracking.
Geotechnical engineeringField data capture, lab tests and generated borehole logs.
Manufacturing & ERPQuotation to cash, multi-level production and multi-region finance.
Financial servicesDebt-review sales, lead routing and consultant performance.
eCommerce & retailCatalogue, pre-orders and checkout built for weak networks.
EducationCourse delivery, assessments and progress reporting.

The stack behind them

Chosen per platform, not per fashion: the runtime, database, payment rail and cloud that fit the workload.

.NET
Python
Node.js
React
Next.js
Flutter
PostgreSQL
Redis
Docker
Kubernetes
Stripe
AWS
Azure
Google Cloud
GitHub Actions
Terraform
How we deliver

From first workshop to a platform that keeps shipping

01

Discover & define

Workshops, competitor analysis and KPI mapping to build a solid, strategy-driven foundation.

02

Design & plan

Wireframes, system architecture and multi-tenant planning with compliance and security built in.

03

Build & test

Rapid MVP development with automated tests and user testing for performance, usability and scale.

04

Refine & scale

Optimise with feedback, analytics and performance tuning for high-volume cloud-native deployment.

05

Support & evolve

Ongoing monitoring, updates and new features to keep your SaaS competitive after launch.

06

Market & monetise

Subscription and usage-based billing, plan limits and analytics to drive adoption and revenue.

What you get

What ships withevery platform

The foundations are already built and hardened, so your first release is weeks of product work rather than months of plumbing.

Faster time to marketReusable tenancy, billing and identity foundations from day one.
Billing that fits the modelSubscriptions, seats, metered usage and trials wired into plan limits.
Identity and access controlSSO, SCIM provisioning, role-based permissions and audit trails.
Compliance readinessEncryption, data residency options and the evidence trail reviews ask for.
Observability built inStructured logs, traces, per-tenant metrics and alerting.
AI where it earns its placeRetrieval and assistants as isolated services, never leaking across tenants.
Got questions?

We've got answers.

Most products should start as a modular monolith with domain boundaries drawn properly. It ships faster, costs less to run, and gives you the seams to extract services later. We move a module to its own service when its scaling profile, release cadence or team ownership genuinely differs from the rest.

Tenant context is resolved once at the edge and enforced at the data layer, not trusted from the client. Depending on your buyers we use pooled tables with row-level security, a schema or database per tenant, or a fully siloed stack. Enterprise tenants can sit on a stricter model than self-serve plans on the same codebase.

Later than most teams expect. Read replicas, indexing and caching solve the first order of magnitude. We shard by tenant or region when write volume or data size outgrows one primary, and we keep routing in a single layer so application code stays unaware of it.

Yes. We start with an architecture and code review, document what exists, and agree a sequence that keeps the product live while the structural work happens. Rewrites are a last resort, not an opening move.

Mostly .NET and ABP.IO for the backend, React or Next.js on the front end, Flutter for mobile clients, with PostgreSQL or SQL Server, Redis and a message broker. Deployment runs on Azure, AWS or GCP, whichever you already use.

A focused multi-tenant MVP with a handful of core modules typically takes around twelve weeks. The variable is scope and integrations, which we fix in the discovery phase before development starts.

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