What we do/Legacy Software Modernization Company/SaaS Product Modernization

SaaS Product Modernization

Your SaaS Product Works. The Architecture Holding It Back Does Not.

Most SaaS products reach a point where the architecture that got them to market becomes the constraint limiting where they can go next. Features take longer to ship. AI capabilities sit on the roadmap because the data layer cannot support them. Technical debt has accumulated to where every change carries risk.Most SaaS products reach a point where the architecture that got them to market becomes the constraint limiting where they can go next. Features take longer to ship. AI capabilities sit on the roadmap because the data layer cannot support them. Technical debt has accumulated to where every change carries risk.

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SaaS Modernization Services for Established Products at an Inflection Point

Partnered with us :

Legacy SaaS Architecture Modernization
Systematic assessment and modernization of SaaS architectures that have accumulated structural constraints over time. Cubet identifies the specific decisions limiting performance, scalability, and new capability, and designs the modernization path in the right sequence. Delivered incrementally using strangler fig and parallel run patterns that maintain product stability throughout.
Technical Debt Resolution
Structured identification, prioritisation, and resolution of technical debt measurably slowing engineering velocity or creating operational risk. Cubet distinguishes between debt actively constraining delivery and debt that can be deferred, directing engineering investment where it creates the most immediate business value.
AI Feature Enablement
Architecture assessment and implementation for SaaS products that need to add AI capabilities but whose current architecture cannot support them. Cubet identifies the data infrastructure, API design, and system architecture changes required to support AI at production scale, delivering visible AI features while deeper enablement work continues in parallel.
Microservices Migration
Decomposition of monolithic SaaS architectures into microservices where scale, team structure, and deployment requirements justify the complexity. Covers service boundary definition, data ownership design, inter-service communication patterns, and deployment architecture. Approached with a clear assessment of whether decomposition is the right solution before the migration begins.
Database Modernization
Assessment and modernization of database architectures constraining SaaS product performance, scalability, or AI readiness. Covers schema redesign, query optimisation, sharding strategy, migration to modern platforms, and introduction of purpose-specific data stores including vector databases and time-series systems. Migration planned to maintain data integrity and product availability throughout.
UX & Frontend Modernization
Modernization of SaaS product interfaces that have aged relative to current buyer expectations. Covers component library migration, design system implementation, frontend architecture modernization, and UX redesign grounded in how current users actually work. Delivered incrementally visible improvement ships at each stage rather than waiting for a full rebuild.
API Modernization
Redesign and modernization of SaaS API layers that have accumulated inconsistency, versioning debt, or architectural constraints. Covers REST API redesign, GraphQL introduction where appropriate, authentication modernization, API gateway implementation, and documentation standards. Sequenced to maintain backward compatibility with existing integrations throughout.
Cloud Infrastructure Modernization
Assessment and modernization of cloud infrastructure that has grown organically rather than architecturally. Covers infrastructure-as-code, container orchestration, auto-scaling, multi-environment standardisation, and cost optimisation across AWS, Azure, and GCP. Aligned to product load patterns and engineering team operational capability.

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Modernizing the Architecture Holding Your SaaS Product Back

Modern Cloud Platform for Lease Auditing

Transformed legacy system using Laravel, Vue.js, AWS—scalable, efficient, audit-ready solution.

Laravel Migration Ensures Scalable School Management Platform

Seamlessly migrated legacy PHP system to Laravel—minimal downtime, boosted performance, future‑ready architecture.

Built with the Right Stack, Engineered for Impact

From performance to scalability, the right tech stack makes all the difference. We build with proven frameworks to deliver secure, fast, and future-ready solutions.

FRONTEND

Frontend designed for usability, performance, and scalability, enabling seamless user interactions and smooth AI-powered experiences across devices and platforms.

ReactJS
Angular
Vue.js
Next.js
Nuxt 3

BACKEND

Backend built for scalability, security, and AI integration, ensuring reliable performance, efficient processing, and seamless connectivity across enterprise systems.

.NET 8
Node.js
Python
Pinecone
LangChain
LlamaIndex
OpenAI API
Anthropic API
HF Transformers

Increase in Engineering Delivery Velocity

Faster Feature Release Cycles

Reduction in Architecture-Related Downtime

Modernization Without Starting Over

We modernize legacy SaaS architectures incrementally, restoring engineering velocity and unlocking growth without disruption or full replacement.

Modernization Without Starting Over

We modernize legacy SaaS architectures incrementally, restoring engineering velocity and unlocking growth without disruption or full replacement.

Let’s Connect

WHY CHOOSE US?

Incremental Modernization Approach
AI Enablement Expertise
Zero Disruption Delivery
Legacy Architecture Specialists
Velocity-Driven Outcomes
End-to-End Execution

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Results & strategies from projects that drove success

Every challenge taught us something. Every solution made a difference. Explore case studies and white papers that capture the results we've achieved together with our clients.

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How We Taught an Enterprise Compliance Platform to Guide Its Own Users

This case study explores how AI was embedded across both orchestration logic and the user experience layer to align system intelligence with user guidance. It shows how enterprise platforms can reduce complexity, improve adoption, and support users without compromising control or scale.

Artificial Intelligence

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How We Built a Platform That Knows Who You Are Before You Say a Word

This case study explores how role-aware personalization was implemented as a native AI capability within enterprise systems. It shows how software can adapt to users in real time, surface relevant actions, and remain powerful without becoming complex.

Artificial Intelligence

Link

Intelligent Automation as a Native Enterprise Capability: Moving Enterprise Operations Beyond Scripts and Manual Effort

This case study explores how intelligent automation was implemented as a native enterprise capability rather than a collection of scripts or RPA flows. It shows how AI-driven orchestration can reduce operational effort, improve reliability, and keep human judgment where it matters most.

Artificial Intelligence

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Making Voice AI a Native Enterprise Capability: Architecting Conversational AI for Real Operations, Not Experiments

This case study explores how Voice AI was architected as a core enterprise capability rather than a surface-level tool. It shows how conversational intelligence can move beyond pilots to become a dependable part of daily operations in healthcare and elderly care environments.

Artificial Intelligence

Link

The Experience we create with Technology is Everything!

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Case Studies

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FAQs

We conduct a structured assessment that maps each architectural constraint to its downstream effect — whether that is delivery slowdown, AI adoption blockage, reliability risk, or competitive disadvantage. The output distinguishes between debt actively limiting your next stage of growth and debt that can be deferred without consequence, directing engineering investment where it creates the most immediate and measurable business value rather than pursuing modernization for its own sake.

We identify which AI features can be delivered within your current architectural constraints and ship those first, while deeper data infrastructure, API design, and system architecture changes are delivered in parallel. The result is visible AI capability that satisfies immediate product and commercial requirements without waiting for all foundational work to complete — and a modernization sequence that ensures subsequent AI features build on architecture designed to support them at production scale.

Microservices migration is not always the right answer, and we assess that explicitly before designing a migration path. Where decomposition is justified by scale, team structure, and deployment requirements, we define service boundaries around business capability rather than technical convenience, design data ownership and inter-service communication patterns before migration begins, and execute the decomposition incrementally using strangler fig patterns. Each extracted service is independently deployable before the next is extracted — ensuring the monolith continues operating throughout and the migration can be paused or adjusted as priorities evolve.

We audit your current API surface — mapping all active consumer dependencies, versioning inconsistencies, and authentication patterns — and design the target API architecture with a migration path that maintains backward compatibility throughout. Deprecated endpoints are supported in parallel with modernized versions during a managed transition period, with clear deprecation timelines communicated to affected integrations. The modernization progresses without forcing existing customers into immediate breaking changes.

We design the target database architecture — covering schema redesign, platform migration, and introduction of purpose-specific data stores where the workload requires them — and then build a migration path that executes in staged phases with data validation at each step. Live migrations run with dual-write patterns and reconciliation processes that verify data integrity before cutover. Rollback capability is maintained at every phase, and migrations are executed during controlled windows aligned to your product's actual usage patterns to minimize availability impact.

Get in touch

Drop us your requirements, and we’ll come back with a clear plan on how we can support you.

“Choosing Cubet was the turning point in our project.”

Tech lead, Jendamark

"Working with Cubet felt like adding an extension to our core team."

CTO, SNO

"They understood our goals better than we did."

CEO, Trust Cyprus

“Choosing Cubet was the turning point in our project.”

Tech lead, Jendamark

"Working with Cubet felt like adding an extension to our core team."

CTO, SNO

"They understood our goals better than we did."

CEO, Trust Cyprus

Hear from our clients about their experience!

Testimonials & Success Stories

Committed Tech Partner

Our experience with Cubet has been awesome, and we are very thankful for their passion, flexibility, and commitment. We highly recommend them.

Frances Barkley, Head of DevOps & Strategic Marketing

Testimonials & Success Stories

A Decade of Dependability

Over 10 years with Cubet, we’ve seen consistent dedication, adaptability, and a can-do attitude. Their creativity and problem-solving approach have significantly boosted our agility and operational efficiency, making them an invaluable extension of our team.

John Stuart, CEO-Fuell

Testimonials & Success Stories

Skilled and Solution-Oriented

Cubet consistently delivers high-quality work and exceeds expectations. Building a remote vision control system for robotics is complex, but their team brought the right skills, patience, and drive—making the implementation process smooth and successful.

Tommy Jonsson, CTO, ByteMotion

Testimonials & Success Stories

Agile, Insightful, Cost-Conscious

Cubet is our trusted partner, providing fast agile development and ongoing support for our BMJ platforms. They understand our needs and improve them with best practices. As a non-profit, we value the cost efficiency without sacrificing quality

Ruth Staunton , Head-Corporate Marketing, BMJ

Testimonials & Success Stories

Consistent, Timely, Innovative

We’ve partnered with Cubet for years on a Medical EMR project. Their project management is consistently excellent, always meeting deadlines. Their developers actively look for innovative ways to improve our designs, adding real value to the collaboration.

Dr Hassan Shafeeq, CEO, BloomEMR

Testimonials & Success Stories

Well-Orchestrated Collaboration

Cubet played a key role in building our mobile apps in 2020. What stood out was their tight coordination every phase, from planning to delivery, felt smooth, collaborative, and well-managed across months of focused teamwork.

Lyric Jain, CEO, Logically

Testimonials & Success Stories

Trusted Growth Partner

My partnership with Cubet began six years ago and has steadily flourished. Collaborating with them on both personal product development and client projects has been a smooth experience, marked by professionalism, consistency, and shared success.

Anik Devaughan, CEO, Ozone

Testimonials & Success Stories

Reliable Technology Partnership

Cubet has been a reliable technology partner for Odin Education. Their proactive approach, technical expertise, and commitment to delivering quality solutions have played a key role in supporting our mission to transform education through technology