Costs typically range from €30,000 to €140,000+, depending on scope:

• Project Type

  Typical Cost Range

• BI Dashboard + ETL

  $30k–$60k

• Predictive Analytics Engine

  $50k–$80k

• AI Integration (e.g. GPT, LLM)

  $35k–$70k

• Custom ML Model + App Layer

  $70k–$140k+

• Full Data Platform (ETL + AI)

  $90k–$180k+

*Pricing depends on data readiness, model complexity, infrastructure needs, and integration depth.

• Pre-built tools/APIs (OpenAI, Vertex AI):
Faster and cheaper — expect $25k–$60k for integration projects with APIs and dashboards.

• Custom AI models:
Require data prep, training, tuning, and validation — typically $60k–$120k+.

We often help clients start with pre-trained models to validate the use case, then scale into custom once ROI is proven.

• Industry

  Common Needs

  Cost Impact

• Healthcare

  Compliance (HIPAA), patient data modeling

  ↑ Due to regulations

• Finance

  Fraud detection, reconciliation, auditability

  ↑ Security + reporting

• Retail

  Product recommendations, customer insights

  Moderate to high

• Manufacturing

  Predictive maintenance, process optimization

  Moderate

Highly regulated or data-heavy industries usually require more planning and testing, increasing cost.

Most clients see ROI within 6–12 months, through:

• Cost reduction (automation, fewer errors, faster reports)
• Time savings (internal teams, decision cycles)
• Revenue increase (personalization, retention, insights)

We help calculate ROI based on internal KPIs — not just model accuracy.

It varies widely:

• Internal data cleanup: €5k–€30k
• Labeling (manual): €0.05–€1.00 per record, depending on task
• Enrichment (via 3rd party tools or scraping): project-based

We help automate as much as possible — and avoid unnecessary labeling when pre-trained models can do the job.

• Industry

  Cost Impact

• In-House (US/UK)

  $100k-$250k+

• Offshore (Serbia)

  $50k-$120k

Serbia offers senior-level talent at ~50% lower cost than Western markets — and higher delivery quality than most high-volume outsourcing regions (like India).

• Region

  Hourly Rate

  Key Strengths

• Serbia

  $40-$85/hr

  ✅ Strong backend, analytics, integration logic

• India

  $20-$60/hr

  ⚠️ Great for volume, weaker in business-context thinking

• Poland

  $60-$110/hr

  ✅ High quality, but more expensive than Serbia

• Philippines

  $20-$50/hr

  ⚠️ Best for UI/support — not core data/ML work

Serbian teams deliver balanced technical + strategic execution — ideal for data projects that impact operations and P&L.

We offer:

• Fixed-scope projects with transparent estimates
• Sprint-based billing (agile delivery, weekly demos)
• Ongoing retainers for model tuning, dashboards, optimization
• Optional time & material if scope is fluid

No vague timelines, no hourly creep — just clear ROI-focused delivery.

With a Serbia-based offshore DevOps team, you get:

• Role

  Avg. Salary (Serbia)

  US Equivalent

• Data Engineer

  $30k-$50k

  $100k-$160k

• AI/ML Engineer

  $40k-$65k

  $130k-$200k

• BI Developer / Analyst

  $25k-$45k

  $90k-$140k

This wage difference is the core reason why project pricing in Serbia is 40–60% more affordable than in the US or Western Europe — without compromising engineering quality.

It allows you to build smart, scalable data platforms and AI tools while maintaining budget flexibility.

Yes — Serbia actively encourages its tech export sector. While the incentives are typically aimed at local companies, foreign clients benefit indirectly through reduced partner costs.

Highlights include:

• R&D tax relief for Serbian companies (can lower your vendor's cost base)
• 0% tax on qualified IP-related income (used in many AI/data platforms)
• Startup-friendly labor tax breaks (lower overhead for small or mid-sized teams)
• EU-backed innovation grants and infrastructure programs
• A growing tech ecosystem supported by government-backed training and export acceleration programs

The result? Serbia is one of the most cost-efficient countries in Europe for high-quality technical delivery.

Serbia ranks 14th out of 112 countries in the English Proficiency Index, ensuring strong communication and collaboration for international projects. (*Source: EF English Proficiency Index, 2024)

Most Serbian engineers:

• Speak and write English fluently
• Are comfortable in real-time client meetings
• Work with tools like Slack, Notion, and Jira in English
• Prepare documentation and dashboards for US, UK, and DACH-based clients

This makes collaboration smooth, especially for long-term analytics and AI projects that require nuanced communication.