Custom software engineering & staff augmentation company

## Globaldev (steelkiwi.com): Custom Software Engineering and Staff Augmentation

Globaldev is an offshore software engineering and staff augmentation company operating under the domain steelkiwi.com. Based on the research available, the company has 15 years of operating history and positions itself as a full-cycle software development partner for startups, product companies, and enterprises globally. The core pitch is straightforward: close your technology and capacity gaps by tapping into their global talent pool, whether that means building a product from scratch or embedding engineers into an existing team.

I want to be clear about what kind of company this is before going further. Globaldev is not a traditional BPO in the call center or back-office sense. It is primarily a software engineering firm with staff augmentation capability. The reason it appears in outsourcing discussions is the staff augmentation model, which is a legitimate and common form of offshore outsourcing, particularly for technology teams that need to scale without the overhead of local hiring. If you are looking for customer support outsourcing or finance process outsourcing, this is not the right profile. If you need dedicated offshore engineers, AI development capacity, or a team to build and maintain software products, read on.

### What They Actually Do

Globaldev organizes its offer into three broad practice areas.

**Global Teams** covers staff augmentation, specifically filling capacity gaps with engineers from their talent pool. This is dedicated resource outsourcing, not project-based consulting. You get engineers embedded in your workflow, managed at least partly by you, sourced and employed by Globaldev.

**Global Engineering** covers full-cycle custom software development. This includes web development (from marketing sites to enterprise data systems), mobile development (native and hybrid), eCommerce platform development and modernization, cloud migration work, and intranet system development. The framing here is design-to-deployment ownership, meaning they take a brief and deliver a working system, rather than just supplying hours.

**Global AI Lab** is the third practice, covering AI and data services. Specifically: generative AI development, broader AI development services (consulting, planning, building predictive and conversational AI, agentic AI), data analytics, and data annotation. The data annotation piece is worth calling out separately because it is a distinct operational service, not just development work. Annotating training datasets for machine learning, including image labeling and data categorization, is the kind of repeatable, quality-sensitive task that sits at the intersection of BPO operations and AI infrastructure. That could be relevant for buyers with ML pipelines who need annotation throughput at scale.

### Who They Fit

The research cites three buyer profiles explicitly: startups prototyping and validating ideas or launching MVPs, product companies scaling operations or adding functionality, and enterprises overhauling legacy systems, automating manual work, or entering new markets.

Named clients are referenced in their testimonials section, including executives from what appear to be technology and data-oriented businesses (Elad Degany as VP of Data and Analytics, Eivind Norebø from ECIT's technology division, Karim Alam as founder of SAKANI), though I would treat these as directional signals rather than verified case studies without independent confirmation.

The eCommerce specialty and the AI/data focus suggest the strongest fit is for product-oriented technology buyers, not process-heavy back-office buyers.

### Delivery Model and Practical Details

The company describes itself as an offshore partner, meaning the primary value proposition includes geographic arbitrage alongside technical expertise. Staff augmentation pricing in this category typically falls in the $25 to $65 per hour range depending on seniority and specialization, though I cannot confirm Globaldev's specific rates from the available research. Confirm their all-in pricing model on your first call and ask how mid-project rate changes are handled.

The research does not specify delivery cities, timezone coverage, or team size in measurable terms. Fifteen years of operations is the only concrete scale signal available. I would ask directly about headcount, location of engineering teams, and how they manage timezone overlap with your team before signing anything.

The research does not mention specific certifications (ISO 27001, SOC 2, etc.) nor are any compliance standards named. For buyers in regulated industries, such as healthcare, fintech, or insurance, this is an important gap to address in due diligence. Ask specifically about their data handling practices, any third-party audits they have completed, and how they manage client IP protection in staff augmentation arrangements.

### Editor's Take

Globaldev looks like a credible mid-market offshore engineering partner for technology buyers who need either dedicated engineers or a product development team without building one in-house. The 15-year track record and the breadth of services (from web to AI to data annotation) suggest they have stayed relevant through multiple technology cycles, which is a meaningful signal.

The things I would verify on a first call: who actually manages the engineers day to day in a staff augmentation setup (you, them, or shared), what their hiring and retention practices look like (high churn on an augmented team is a real operating risk), how they handle knowledge transfer if an engagement ends, and what the ramp time looks like for a new dedicated team member.

For AI and data annotation work specifically, I would press for specifics on quality control. Annotation quality directly affects model performance, and the difference between a vendor with a structured QA process and one without is often invisible until your model underperforms. Ask for error rate benchmarks and how disputes on labeling accuracy are resolved.

This is not the vendor to call if you need call center support, finance process outsourcing, or any non-technical BPO service. It is worth a conversation if your gap is software engineering capacity, a specific AI build, or annotation throughput for a ML project.