SciTransfer
Organization

MANZALAB

French SME building VR/AR collaborative environments for intelligence analysis, forensic investigation, and law enforcement data visualization.

Technology SMEsecurityFRSMENo active H2020 projects
H2020 projects
2
As coordinator
0
Total EC funding
€90K
Unique partners
38
What they do

Their core work

MANZALAB is a Paris-based SME specializing in immersive virtual and augmented reality technologies applied to professional high-stakes environments, with a particular focus on security, intelligence analysis, and law enforcement. They design and build collaborative VR/AR platforms that allow analysts and investigators to visualize, navigate, and interrogate complex data — including video footage, forensic evidence, and metadata — in three-dimensional interactive environments. In H2020 projects they have contributed both video analytics capabilities for criminal investigations (VICTORIA) and immersive collaborative investigation environments (INFINITY). Their work sits at the intersection of cognitive ergonomics, data visualization, and immersive simulation: they care not just about rendering technology but about how analysts think and collaborate under real operational pressure.

Core expertise

What they specialise in

VR/AR immersive environments for intelligence analysisprimary
1 project

INFINITY (2020-2023, 'IMMERSE. INTERACT. INVESTIGATE') places MANZALAB centrally in building VR/AR collaborative platforms for intelligence and investigation workflows.

Video analytics and forensic metadata processingsecondary
1 project

VICTORIA (2017-2020) focused on video analysis for criminal and terrorist investigations, where MANZALAB contributed video analytics and metadata capabilities as a funded participant.

Collaborative multi-user investigation workspacesemerging
1 project

INFINITY keywords include 'collaborative environment' and 'cognition', suggesting MANZALAB is developing shared virtual workspaces designed around analyst team workflows.

Cognitive visualization and human-data interactionemerging
1 project

The pairing of 'cognition' and 'visualization' keywords in INFINITY indicates work on how investigators perceive and process complex information, not just how it is displayed.

Evolution & trajectory

How they've shifted over time

Early focus
Video analytics and forensic data
Recent focus
Immersive VR/AR investigation environments

In their earlier H2020 engagement (VICTORIA, 2017-2020), MANZALAB's profile was grounded in video analytics, forensic data, and law enforcement data pipelines — the backend infrastructure of digital investigation. By their second project (INFINITY, 2020-2023), the vocabulary had shifted entirely: virtual reality, augmented reality, collaborative environments, and cognition replaced the data-processing language. The trajectory is a deliberate move from raw data analysis toward immersive front-end interfaces that make complex investigative data human-navigable. This is a coherent and strategically logical evolution — they appear to be building the analyst experience layer on top of the analytical infrastructure they first worked with.

MANZALAB is moving toward becoming a specialist provider of immersive collaborative platforms for law enforcement and intelligence communities, positioning VR/AR as the interface layer for complex security data — a niche with growing EU institutional interest.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European14 countries collaborated

MANZALAB joins consortia as a specialist contributor, never as coordinator — their two roles are participant and third party, both within large RIA consortia. With 38 partners across 14 countries from only 2 projects, they operate in unusually large, multi-stakeholder security research networks, which suggests their technology is relevant enough to be included by multiple consortium builders. They appear to be invited in for a specific technical capability rather than for network leadership, which means working with them is low-friction: they come with a focused deliverable and do not compete for project governance.

Despite only two projects, MANZALAB has touched 38 unique consortium partners across 14 countries — a broad footprint that reflects the large pan-European consortia typical of H2020 Security RIAs. Their network skews toward the European law enforcement research community, including likely national police agencies, forensic institutes, and security technology firms.

Why partner with them

What sets them apart

MANZALAB occupies a rare niche: a commercial SME applying VR/AR technology specifically to law enforcement, forensics, and intelligence analysis — not to gaming, retail, or generic enterprise training. Very few European SMEs combine immersive technology development with deep domain exposure to criminal investigation workflows and EU security research projects. For a consortium building the next generation of analyst tools or training simulators for security professionals, MANZALAB brings both the immersive technology stack and the domain legitimacy that most VR companies lack.

Notable projects

Highlights from their portfolio

  • INFINITY
    The project title 'IMMERSE. INTERACT. INVESTIGATE' encapsulates MANZALAB's current positioning perfectly — applying VR/AR to intelligence investigation — and their inclusion as third party signals that a funded EU consortium specifically sought out their immersive technology expertise.
  • VICTORIA
    This was MANZALAB's only directly funded H2020 role (EUR 90,000 as participant), placing them inside a large video analytics consortium for criminal and terrorist investigation — establishing their security domain credentials before their pivot to immersive interfaces.
Cross-sector capabilities
Defence and military simulation trainingEmergency services and crisis response planningDigital forensics and legal techImmersive data visualization for any high-complexity analytical domain
Analysis note: Profile is based on only two projects, limiting statistical confidence. However, the keyword evolution between projects is unusually coherent and the project titles are highly descriptive, allowing a credible reading of MANZALAB's specialization and trajectory. The absence of a website in the data prevents external validation. Third-party role in INFINITY means no direct EC funding is recorded for that project, so total financial exposure to EU research may be underrepresented.