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Software consulting and development

Specialized Software and Cloud Solutions Built for Your Business

We develop SaaS platforms, custom software, computational models, decision-support tools, and reliable cloud systems for businesses and public-sector organizations.

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Engineering software for complex operations, decisions, and growth.

Core Capabilities

Software engineering for systems that need to work in the real world

Modsurf combines four disciplines that are usually bought separately: product development, computational modelling, cloud infrastructure, and the modernization of systems already in service. That combination matters because real operational software needs all of them — a model without a platform stays in a spreadsheet, and a platform without reliable infrastructure fails its users.

We work with businesses, enterprises, and public-sector organizations, from a first product build to systems that carry decades of operational history.

Our services

01

SaaS Product Development

We design and build SaaS products end to end: the multi-tenant architecture, the account and billing layer, the administrative tooling, and the cloud infrastructure that keeps it all running. Our teams have shipped subscription platforms for founders launching a first product and for established companies turning internal tools into commercial software.

  • Subscription platform architecture
  • Multi-tenant data isolation
  • Account and organization management
  • Customer portals and self-service
  • Billing and payment integration
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Tenant ATenant BTenant CShared application layerBillingIsolated data
02

Custom Software Development

Off-the-shelf tools stop fitting when your processes are the reason you win work. We build web applications, internal systems, workflow automation, and reporting platforms that match your operation precisely — and we integrate them with the systems you already depend on rather than asking you to replace them.

  • Web application development
  • Internal operational systems
  • Workflow and process automation
  • Reporting and analytics platforms
  • API design and development
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IntakeReviewApproveReportExisting ERP / CRMAudit trail
03

Computational Modelling

Some decisions are too consequential for judgment alone: which assets to maintain first, how to allocate a constrained budget, how a system performs under scenarios you cannot afford to test in reality. We build forecasting, simulation, optimization, and risk models — and we deliver them as maintained software your teams can actually use, not as one-off analyses.

  • Forecasting models
  • Simulation of operational scenarios
  • Mathematical optimization
  • Risk assessment and scoring
  • Maintenance prioritization
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forecast · confidence bandrisk grid
04

Cloud and DevOps

Reliable software needs infrastructure designed for it. We architect, build, and operate cloud environments on AWS, Azure, and Google Cloud — with the deployment automation, observability, and incident readiness that turn releases from events into routine. We also plan and execute migrations for teams moving out of data centers or between providers.

  • Cloud architecture on AWS, Azure, and Google Cloud
  • CI/CD pipeline design and build
  • Containers and Kubernetes
  • Infrastructure as code
  • Observability, monitoring, and alerting
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Load balancersvc-1svc-2svc-3Datamonitored
05

Software Modernisation

Legacy systems earn their keep — that is why they are still running. The risk is what surrounds them: the shrinking pool of people who can change them, the integrations held together by exports, the infrastructure nearing end of life. We assess what you have, then modernize it incrementally: improving architecture, opening APIs, migrating to cloud, and replacing components in an order that never puts the operation at risk.

  • Legacy-system assessment
  • Modernisation roadmaps
  • Incremental replacement strategies
  • Architecture improvement
  • API development around existing systems
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Legacy coreshrinking scopenew svcnew svcnextroutinglayer

Decision-support systems

Software for Complex Operational Decisions

We build specialized systems for organizations that need to compare risks, allocate limited resources, test operating scenarios, and improve operational decisions.

  • Maintenance-prioritization tools
  • Asset-risk assessment systems
  • Energy-system performance models
  • Resource-allocation software
  • Forecasting and simulation tools
  • Scheduling and process-optimization systems

Delivered as maintained software — with data pipelines, documented assumptions, and interfaces planners use directly — so the model keeps informing decisions long after the first budget cycle.

Decision console — conceptual interface preview

Scenario

  • Base plan
  • Constrained budget
  • Accelerated renewals

Risk matrix

likelihood →consequence ↑

Ranked work orders

RefWork orderScore
A-1042Feeder pump overhaul92
B-0311Substation switchgear88
C-2207Conveyor drive renewal71
A-0980Valve actuator batch64

Allocation

Critical assets46%
Preventive works31%
Inspections15%
Contingency8%

Forecast

modelled current plan

Industries

Technical software shaped around your operating environment

The same engineering disciplines, applied to very different operations. Choose yours.

Technology and SaaS

Engineering capacity for teams whose product is the software

Software companies come to us for the work that decides whether a product scales: platform architecture, multi-tenant design, delivery automation, and the unglamorous reliability engineering that keeps customers online. We work as an extension of in-house teams or take full ownership of defined systems.

Typical work

  • Multi-tenant platform architecture
  • Product feature development
  • Delivery pipeline and environment automation
  • Reliability and performance engineering
Explore Technology and SaaS

Cloud & DevOps

Cloud Systems That Support Reliable Software

Architecture, automation, and monitoring on AWS, Azure, and Google Cloud — so releases are routine and problems are found before customers find them.

Commitreview + checks01Buildcontainer image02Testunit · integration03Deploystaged rollout04MonitorSLOs · alerts05

Platforms

  • AWS
  • Azure
  • Google Cloud

Delivery

  • Cloud architecture
  • DevOps automation
  • CI/CD pipelines
  • Infrastructure as code

Runtime

  • Kubernetes and containers
  • Monitoring and alerting

Adoption

  • Cloud migration
  • Managed cloud support
Explore Cloud and DevOps

How we deliver

From technical uncertainty to dependable software

A deliberately unexciting process: each phase ends with something written down or something working.

  1. Phase 01

    Discovery and technical assessment

    We learn the operation, audit the systems and data involved, and agree what a good outcome measurably looks like.

  2. Phase 02

    Solution architecture

    A written architecture proposal: the system design, the integrations, the risks, and a phased plan with costs.

  3. Phase 03

    Product design and development

    Short build cycles with working software at each step, reviewed against the operation it serves — not against a slide deck.

  4. Phase 04

    Testing and deployment

    Automated test suites, rehearsed releases, and staged rollouts, so going live is a routine rather than an event.

  5. Phase 05

    Monitoring and ongoing support

    Dashboards, alerting, and a support arrangement with clear response commitments — or a planned handover to your team.

Engineering principles

Four rules we hold ourselves to

Understand the operating problem

Software that ignores how the work actually happens gets worked around. We start with the operation — its constraints, exceptions, and the people in it — before proposing a system.

Design for long-term maintainability

Most of a system's life is spent being changed. We choose boring, well-supported technology, write code the next engineer can read, and document decisions while they are fresh.

Build with security and reliability in mind

Access control, auditability, and failure handling are design inputs, not review findings. Systems ship with monitoring and a plan for the day something breaks.

Measure outcomes, not feature volume

A release is finished when the decision improves, the process shortens, or the risk drops. We agree those measures up front and report against them.

Products

Software products built around real operational needs

All products

AssetLens

In Development

Decision Support

A maintenance-prioritization workspace that ranks work orders by modelled risk and operational impact, so constrained budgets go to the assets that matter most.

For: Maintenance and reliability engineers · Asset managers · Operations planners

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FieldDocket

In Development

Operations

Structured field data capture for inspection and works teams — offline-capable forms that feed clean data straight into the systems that need it.

For: Field inspection teams · Works supervisors · Data and planning teams

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Product previews are conceptual until marked Available. No pricing is published for products in development.

Insights

Ideas for building and operating better software

All insights

Need Custom Software or Cloud Support?

Tell us what you are trying to build, improve, or modernize.

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