SciTransfer
Organization

PACE AEROSPACE ENGINEERING AND INFORMATION TECHNOLOGY GMBH

Berlin aerospace software firm building ML-driven flight operations tools and digital manufacturing quality platforms for European consortia.

Engineering firmtransportDENo active H2020 projects
H2020 projects
5
As coordinator
0
Total EC funding
€970K
Unique partners
83
What they do

Their core work

PACE is a Berlin-based aerospace software company that develops tools for aircraft design, flight operations, and manufacturing optimization. Their H2020 work spans two domains: aviation data systems (flight planning, dispatcher decision support, operational data analytics) and digital manufacturing (zero-defect production, quality control platforms). They bring software engineering and data infrastructure expertise to large consortia, serving as the IT backbone that turns raw operational and manufacturing data into actionable decision-support tools.

Core expertise

What they specialise in

Flight operations software and decision supportprimary
3 projects

Pilot3, Dispatcher3, and ICARUS all focus on aviation data processing, flight planning algorithms, and pilot/dispatcher advisory systems.

Digital manufacturing and zero-defect quality controlsecondary
2 projects

QU4LITY and FASTEN address zero-defect manufacturing, digital platforms for quality control, and flexible autonomous manufacturing systems.

Machine learning for operational dataemerging
2 projects

Dispatcher3 explicitly applies machine learning to historical flight data, and ICARUS focuses on aviation-driven data value chains.

Data infrastructure and platform developmentsecondary
3 projects

Dispatcher3, ICARUS, and QU4LITY all involve building data pipelines and digital platforms that aggregate and process large operational datasets.

Evolution & trajectory

How they've shifted over time

Early focus
Flexible manufacturing and aviation data
Recent focus
ML-driven flight ops and zero-defect manufacturing

PACE entered H2020 in 2017 with flexible manufacturing (FASTEN) and aviation data (ICARUS), establishing a dual-track focus. From 2019 onward, both tracks deepened: the manufacturing side added explicit zero-defect and quality control work (QU4LITY), while the aviation side moved from general data analytics toward specific machine-learning-driven flight planning and dispatcher tools (Pilot3, Dispatcher3). The trend shows a company moving from broad platform development toward applied AI in both its domains.

PACE is converging on machine learning applied to operational data — expect future work in AI-assisted decision-making for both aerospace and industrial settings.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European18 countries collaborated

PACE operates exclusively as a participant, never coordinating, which positions them as a reliable technical contributor rather than a project driver. With 83 unique partners across 18 countries from just 5 projects, they work in large consortia (averaging 16+ partners per project). This suggests they are sought after for their specialized software capabilities and integrate well into complex multi-partner setups without needing to lead.

Despite only 5 projects, PACE has built a remarkably wide network of 83 partners across 18 countries, indicating participation in large pan-European consortia with strong geographic diversity. Their network spans both aerospace and manufacturing research communities.

Why partner with them

What sets them apart

PACE occupies a rare niche: a software company that operates credibly in both aerospace operations and digital manufacturing. Most H2020 participants specialize in one domain, but PACE's data platform and ML expertise transfers across both, making them a versatile technology partner. For consortium builders, they offer production-grade software engineering — not just research prototypes — which is valuable for Innovation Actions that need deployable results.

Notable projects

Highlights from their portfolio

  • QU4LITY
    Largest funded project (EUR 299,688) and the clearest demonstration of their digital manufacturing capabilities in zero-defect production.
  • Dispatcher3
    Most technically specific project — applies machine learning to historical flight data for dispatcher decision support, showcasing their applied AI competence.
  • FASTEN
    Highest single funding (EUR 305,000) and their entry point into H2020, focused on autonomous manufacturing for custom products.
Cross-sector capabilities
Digital / ICT platformsManufacturing and Industry 4.0Artificial intelligence and machine learningAviation and aerospace
Analysis note: With only 5 projects and limited keyword data (early-period keywords are empty), the evolution analysis relies partly on project titles and dates rather than rich keyword shifts. PACE's commercial product portfolio (pacelab.com) likely reveals additional capabilities not captured in this H2020 data. Classified as non-SME despite moderate funding levels, suggesting a mid-sized company.