Compare the Costs: DataExos vs. In-House Hiring

Smart Tech Decisions Start with Smart Budgeting
Professional woman at a multi-monitor workstation reviewing financial data and invoices, illustrating cost comparison.Abstract pattern of fading dots creating a sense of depth or transition.
In an era where technological advancements are pivotal to business success, the choice between building an in-house team or partnering with a consultancy like DataExos can have a significant impact on your financial and operational strategy. Here's why partnering with DataExos not only optimizes your costs but also aligns with a balanced approach to technology and human well-being.
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Unmatched Financial Efficiency

(without compromising expertise or outcomes)
> No Recruiting or Onboarding Delays: Get immediate access to seasoned experts—no months-long hiring cycles or overhead.

> Flexible Engagements: Scale up or down based on project needs. Pay only for the roles and time required, not for idle headcount.

> Cross-Functional Value: Instead of hiring multiple specialists full-time, gain a lean, high-performing team that works across data, cloud, and AI domains.

> Built-In Delivery Management: Our teams are self-directed and results-driven, reducing the need for costly project management or micromanagement on your end.

> Lower Total Cost of Ownership: No benefits, office space, licenses, or equipment expenses—just clean, transparent pricing that reflects real progress.

With DXS, your investment goes further—transforming complex initiatives into cost-efficient, high-impact results.
Illustration of a piggy bank icon on an abstract blue shape representing DataExos' cost-effective support. Infographic showing cost breakdown for an in-house team with icons representing different roles (Data Scientist, Cloud Architect, Data Engineer, Data Analyst).
In-House Team (4 Roles)
DataExos Consulting/Outsourcing
Data Scientist
$150,000
Included in engagement
Cloud Architect
$160,000
Included in engagement
Data Engineer
$145,000
Included in engagement
Data Analyst
$110,000
Included in engagement
Machine Learning (ML) Engineer
$160,000
Included in engagement
Benefits & Overhead (~30% of base salaries)
$171,000
$0 – No benefits, equipment, or admin costs
Ramp-Up Time
2–3 months (recruiting, onboarding)
1–2 weeks to kick off
Management Overhead
High (HR, performance reviews, IT setup)
Minimal – DataExos manages delivery
Scalability
Fixed headcount unless rehiring
Flexible – scale up/down based on demand
Commitment
Full-time salaried roles
Flexible contracts – project or retainer based
Risk Exposure
Higher – hiring risk, turnover, productivity loss
Minimal – outcome-based delivery
Total Year 1 Cost
$736,000+
$200,000–$350,000 (depending on scope & duration)
Category

What's Included in a DataExos Engagement

> Cross-functional team aligned to your goals

> Outcome-based delivery: roadmaps, dashboards, models, and reports

> Strategic guidance + hands-on implementation

> Access to additional roles (e.g., compliance, automation, visualization) as needed
Beyond Salaries: The Holistic Savings Approach
Partnering with DataExos extends your savings beyond salaries to encompass:

> Office Space Reduction: Minimize or eliminate the need for additional office space, a substantial cost in today’s market.

> Technology and Infrastructure: Benefit from potential savings on technology and infrastructure costs, such as software licenses and employer-provided devices, while engaging with our services.

> Training and Development: Access a team of experts without the ongoing costs of training and professional development.

Balancing Cost Optimization with Human-Centric Technology

While we recognize and value the importance of cost optimization in today’s competitive business environment, DataExos is equally committed to promoting technological advancements that harmonize with human well-being. Our solutions are designed not just to save costs but to enhance and enrich the workforce, ensuring technology serves as an empowerment tool rather than a replacement.

To learn more about our balanced approach to AI advancement and human well-being, we invite you to explore our social initiative, Not AI. AI for Humans. (NAI. AIFH.)", which embodies our commitment to ethical and sustainable technology practices.

Choose DataExos, where financial efficiency meets ethical innovation.

Ready to Move From Possibility to Progress?
Let’s explore how DataExos can support your goals with intelligent, outcome-focused solutions tailored to your organization. Whether you're just starting or scaling innovation, we’re here to help you move forward—with clarity and confidence.
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