SaaS product development that keeps your roadmap moving

Grow your SaaS platform with engineers who work alongside your product team. We build multi-tenant architecture, automate release testing and improve cloud performance so you can add customers and features with confidence.

Trusted by teams running critical software

SiemensYunex TrafficAutobahn
Finastra
InfraSignal
Abidat
PTV Group
Körber
Westfalia
FrontFundr
GFA Group
Seneca ESG
Cygon
Dasan
Aimsun
eGo Digital
Maoneng
OnOffice
Reinstil
100%
Core legacy coverage
30-40%
Data accessibility improvement
20-30%
Maintainability improvement
The problem

What slows your SaaS roadmap down?

More customers bring new requirements, heavier workloads and tougher security reviews. Your team needs a platform and release process that can keep up.

Our capabilities

Engineering that supports your next product release.

Strengthen the architecture, testing and cloud operations behind your SaaS platform. Our engineers work alongside your team to turn agreed priorities into tested releases.

  • Multi-tenant architecture

    Keep customer data separate, with tenant configuration and data residency planned early.

  • Product engineering squads

    Senior engineers work alongside your team, owning delivery against agreed product requirements.

  • AI test automation in CI

    Check changes against agreed specifications with automated tests in your delivery pipeline.

  • Cloud cost & scalability

    Track resource usage and tune infrastructure as customer demand grows.

  • Integrations & public APIs

    Connect partner systems through documented APIs your customers can build on.

  • Vibe code rescue & cleanup

    Bring AI-generated code under clear specifications, automated tests and human review.

The Agentic SDLC

AI Agents Build.
Senior Engineers Hold The Gates.

Our very own AI-native delivery system makes your output more predictable and controllable. The value is in these five layers we engineer below.

Layer 1

AI Models & Agents

The raw capability layer where you acquire an AI model. At this layer, your AI is likely to make mistakes like hallucinations and unfiltered results.

30-50%
Faster time to market
40-60%
Less rework and rip-out
2-3x
Delivery throughput
per engineer
90%+
Requirements
covered by tests
Case study · Medical devices

A cloud platform that preserved every core legacy workflow.

A medical device company needed to replace an aging Windows Forms application without disrupting critical data management and reporting. Legacy formats made its data difficult to access and share.

We built a cloud-native platform with a browser-based interface and REST APIs, preserving all core legacy functionality. Both systems ran in parallel during the phased migration to maintain operational continuity and regulatory compliance.

Results

Core legacy coverage
100%
Data accessibility improvement
30-40%
Maintainability improvement
20-30%
Sector
Healthcare
Engagement
Project-based, about one year
Testimonials

What clients say.

Certified, accredited and independently reviewed

Clutch Top App Modernization Service company, Vietnam 2026Clutch Top Cloud Consulting Company, Vietnam 2026Clutch Top Machine Learning Company, Vietnam 2026
FAQ

Frequently asked questions.

Have a question about your product? Discuss it with an engineer.

How much does it cost to develop a SaaS product?

The cost depends on your product’s scope, integrations, security requirements and expected scale. We assess those requirements before proposing a delivery plan. Eastgate offers project-based delivery for defined scopes and embedded engineering teams for products with an evolving roadmap.

How long does it take to build a SaaS MVP?

Eastgate’s product engineering offering lists an indicative MVP timeline of 8–12 weeks. Your schedule depends on the core workflows, integrations and technical requirements. We use discovery to agree on a focused first release, then develop the product through reviewable milestones.

How do you build a multi-tenant SaaS platform that can scale?

We design tenant isolation, configuration and data residency into the architecture from the start. Our engineering teams combine cloud infrastructure, automated testing and performance optimization to help your platform serve more customers while keeping operating costs and release quality under control.

How do you keep SaaS customer data secure?

We build security into the architecture and delivery process, including tenant isolation, access controls and automated security checks. Eastgate is ISO 27001 certified. We agree on your product’s security and compliance requirements early so they guide engineering and testing throughout development.

Can you improve an existing SaaS product without rebuilding it?

Yes. We assess your architecture, codebase and delivery process to identify what needs attention and what can be preserved. Our teams can strengthen automated testing, modernize platform components and improve cloud performance through phased changes that support continued product development.

Can you add AI features to our SaaS product?

Yes. Eastgate develops LLM integrations, retrieval-augmented generation (RAG), machine learning features and intelligent workflow automation. We build these capabilities for production use, with monitoring, cost controls and fallback paths, and validate them against your product requirements.

Who owns the source code and intellectual property?

You own the code from the first commit. Source code, delivery pipelines and infrastructure are maintained in your accounts or transferred at handover. Intellectual property assignment is covered in the engagement agreement.

Do you provide maintenance and support after launch?

Yes. Eastgate’s services cover ongoing engineering, release management, service monitoring, security patches and dependency updates. We agree on support responsibilities and priorities with your team so maintenance and new feature development fit your product roadmap.

Contact

Let's move your roadmap forward

Tell us what you're building, what's slowing delivery and where you want to go next. We'll discuss the engineering approach with your team.