Engineering Insights

Strategic recommendations for engineering excellence and cost optimization across the Lyvia portfolio

Universal Engineering Cost Drivers

Frequency of key cost drivers mentioned across all 37 portfolio companies

54%
salaries
20 cos.
51%
cloud
19 cos.
51%
infrastructure
19 cos.
30%
training
11 cos.
22%
licensing
8 cos.
8%
r&d
3 cos.
5%
compliance
2 cos.

Strategic Recommendations

Establish a Cloud & DevOps Center of Excellence

High ImpactMedium Effort

Multiple portfolio companies independently manage Azure and AWS infrastructure. A centralized CoE can negotiate group-wide contracts, enforce FinOps best practices, and provide expert support — reducing cloud spend by an estimated 15–25% through reserved instances and savings plans.

CloudgruppenITSSFidelity ConsultingProcon Digital

Standardize Core Technology Stacks

High ImpactHigh Effort

The portfolio uses a fragmented mix of web and backend technologies. Standardizing on React/TypeScript for frontend and .NET or Python for backend services will reduce licensing costs, simplify cross-company talent mobility, and lower onboarding friction for new acquisitions.

All Software Engineering companies

Create a Group-Wide Talent Marketplace

Medium ImpactLow Effort

Specialized expertise (e.g., SAP ABAP, Workday HCM, AI/ML) is siloed within individual companies. An internal talent marketplace would enable cross-company project assignments, improve resource utilization, and reduce the need for external contractors.

ReponaArc ConsultingTransformantTraventus

Centralize Software License Procurement

Medium ImpactLow Effort

Many companies independently purchase licenses for common tools (Atlassian, Adobe, development IDEs, monitoring tools). Aggregating demand under group-wide enterprise agreements can yield 20–40% savings on software licensing costs.

All portfolio companies

Consolidate Business Intelligence Tooling

Medium ImpactMedium Effort

Multiple companies use different BI and analytics platforms. Standardizing on a single platform (Qlik or Power BI) leverages existing deep expertise within Mercanza and reduces per-seat licensing costs across the group.

MercanzaTransformantArc Consulting

Launch a Group-Wide AI Upskilling Program

High ImpactMedium Effort

With AI transforming all four sectors, a structured upskilling program — leveraging internal expertise from IT-HUSET (MindITH) and Trakk.ai — can accelerate AI adoption across the portfolio without relying on expensive external training providers.

IT-HUSETTrakk.aiAll portfolio companies

High Engineering Density

Companies with >70% engineering staff — high-value technical assets

Procon Digital

Norway

9/1275%
Repona

Sweden

25/3083%
ITSS

Poland

94/12575%
IT-HUSET

Sweden

81/10875%
Controlnet

Sweden

8/1173%

Low Engineering Density

Companies with <20% engineering staff — potential for technical investment

Dokeos

Belgium

7/4715%
Seventy Agency

Sweden

10/6216%
Tillsammans

Sweden

2/1315%
Folket

Sweden

7/898%
Humblestorm

Sweden

3/2612%
Studio Bon

Sweden

4/3312%