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Technology Companies & SaaS

Extra engineering capacity that ships inside your existing stack.

Product roadmaps grow faster than most engineering teams can build. We work as an extension of your team — or a dedicated build team — inside your existing repos, cloud and release process.

Business challenges we see

Product ideas outpace engineering capacity to design, build and ship them.

Integrating with partner APIs and third-party services takes longer than the core feature work.

AI features are expected, but building them production-grade — not just a demo — is a different skill set.

Test and release processes slow down as the product and team grow.

What Globalion can deliver

Each group follows the same shape: the business need, what we'd build, and the outcome you're working toward. Expand a group for the full breakdown.

Product discovery & UXFewer wrong builds, a faster path from idea to shippable spec.
Business need

New features need to be scoped and designed before they're built, not guessed at.

What we deliver

Product-discovery workshops and UX design for new features or products.

Outcome

Fewer wrong builds, a faster path from idea to shippable spec.

Discovery workshopsUX designClickable prototypesDigital Transformation ConsultingWeb Application Development
SaaS engineering, web & mobile developmentRoadmap items ship instead of sitting in the backlog.
Business need

The roadmap needs engineering capacity — extra hands, specialist skills, or a dedicated build team.

What we deliver

SaaS product engineering across web and mobile, as an extension of your team or a dedicated build.

Outcome

Roadmap items ship instead of sitting in the backlog.

APIs, integrations & AI feature developmentAI and integration features that hold up under real usage, not just a proof of concept.
Business need

Partner integrations and AI features need production-grade engineering, not a demo.

What we deliver

API/integration development and AI feature engineering — from RAG to agentic workflows — built to run in production.

Outcome

AI and integration features that hold up under real usage, not just a proof of concept.

API/integration buildAI feature engineeringProduction monitoringArtificial Intelligence & Generative AIEnterprise Software Development
Data platforms, cloud & DevOpsInfrastructure that scales with the product instead of becoming the bottleneck.
Business need

As usage grows, data infrastructure and deployment pipelines need to scale without breaking.

What we deliver

Data-platform engineering and cloud/DevOps work — infrastructure, CI/CD, observability.

Outcome

Infrastructure that scales with the product instead of becoming the bottleneck.

Data platform buildCI/CD pipelineInfrastructure & observabilityData Engineering & IntelligenceCloud Engineering & DevOps
Test & release automationFaster, safer releases with fewer regressions.
Business need

Manual QA and releases don't scale as the codebase and team grow.

What we deliver

Automated testing and release pipelines.

Outcome

Faster, safer releases with fewer regressions.

Automated test suiteCI/CD release pipelineRelease process designCloud Engineering & DevOpsEnterprise Software Development
Engineering staffing & application supportRight-sized capacity without a slow hiring cycle, and a product that stays supported post-launch.
Business need

Teams need to flex capacity up or down, and shipped products need ongoing support.

What we deliver

Staff augmentation or dedicated engineering teams, plus managed application support.

Outcome

Right-sized capacity without a slow hiring cycle, and a product that stays supported post-launch.

Staff augmentationDedicated team optionApplication support SLAIT Staffing & Managed Services

How a solution could work

A representative process, not a description of a system already running for you — every path includes a point where a person reviews or approves before anything is final.

Illustrative workflow
1
Feature request logged
A product or roadmap item is defined.
2
Discovery & design
The item is scoped, designed, and estimated.
3
Built & code-reviewed
Engineering builds it with peer review.
4
Tested & released
Automated tests run and the release ships in stages.
5
Monitored in production
Observability and support handoff keep it running.

Integration approach

We work inside your existing stack and CI/CD — connecting to your repos, cloud provider, and third-party APIs and services. We name specific tools and connectors only once we've confirmed compatibility with your actual environment.

Delivery and support

Every engagement runs through the same shape — discovery, design, implementation and integration, validation, rollout, and ongoing support — scoped to your requirement and delivered under one of our engagement models.

01
Discovery
02
Design
03
Implementation & integration
04
Validation
05
Rollout
06
Ongoing support

Frequently asked questions

Do you work as an extension of our team or as a separate vendor?

Either — dedicated development teams, staff augmentation, or fixed-scope delivery are all engagement models we support; see Engagement Models for the full comparison.

Can you work inside our existing codebase and CI/CD?

Yes — we integrate into your existing repos, tooling and release process rather than asking you to adopt ours.

Do you build AI features that actually ship, not just a demo?

Yes — AI feature work is built to run in production with monitoring, not left as a proof of concept.

What if we need to scale the team up or down quickly?

That's what staff augmentation and dedicated-team engagements are designed for — capacity flexes with your roadmap.

30-minute discovery call

Discuss your Technology Companies & SaaS requirement.

Tell us what you're trying to solve — we'll tell you honestly whether it's a strong fit before anything else.

Discuss your requirements