SciTransfer
Organization

INTSITE LTD

Israeli AI and computer vision SME applying machine learning, digital twins, and BIM to construction site safety and productivity.

Technology SMEmanufacturingILSME
H2020 projects
2
As coordinator
1
Total EC funding
€484K
Unique partners
22
What they do

Their core work

INTSITE is an Israeli AI and computer vision company specializing in smart construction site technology. Their core expertise is applying machine learning and image recognition to heavy construction operations — most concretely, autonomous crane control — to reduce accidents and improve on-site productivity. In larger European consortia, they contribute AI perception and data processing components to digital twin platforms for construction lifecycle management. They sit at the junction of physical construction operations and software intelligence, turning camera feeds and site data into real-time operational decisions.

Core expertise

What they specialise in

Computer vision for construction equipmentprimary
2 projects

AUTOSITE100 built an autonomous crane system on computer vision, and BIM2TWIN explicitly lists image recognition as a core keyword for site monitoring.

AI and machine learning for site managementprimary
2 projects

Both AUTOSITE100 (crane automation) and BIM2TWIN (process optimisation, safety improvement) rely on machine learning for real-time construction decision support.

Digital twin and BIM integrationsecondary
1 project

BIM2TWIN placed INTSITE inside a major RIA consortium combining BIM data, graph databases, and digital twin architecture for construction management.

Construction safety systemssecondary
2 projects

Safety improvement is an explicit BIM2TWIN keyword, and AUTOSITE100 was directly motivated by reducing crane-related accidents on construction sites.

Graph database applications for AECemerging
1 project

BIM2TWIN lists graph database as a key technology, likely for representing complex building information model relationships at scale.

Evolution & trajectory

How they've shifted over time

Early focus
Autonomous crane computer vision
Recent focus
Digital twin construction management

INTSITE's H2020 participation began with a tightly scoped, product-level initiative: autonomous crane operation using computer vision, reflecting a single-application AI product (AUTOSITE100, 2019). Their second and larger project, BIM2TWIN (2020–2024), placed that same computer vision capability inside a much broader digital twin architecture — one that also demands BIM data integration, graph databases, and process optimization across the full construction lifecycle. The shift is from a standalone AI product toward a modular perception component within complex construction informatics platforms.

INTSITE is embedding its computer vision and AI capabilities deeper into the BIM and digital twin ecosystem, positioning itself as the perception and intelligence layer within larger smart construction platforms.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European8 countries collaborated

INTSITE has played both roles: they led their own SME Phase 1 feasibility project (AUTOSITE100) and joined a large RIA consortium as a technical partner (BIM2TWIN). Given their size, they almost certainly contribute a specialized technology module — AI vision processing — rather than managing broad administrative or coordination workpackages in large consortia. With 22 unique partners accumulated across just 2 projects, BIM2TWIN was clearly a large multi-partner effort, indicating comfort operating in complex international environments despite being a small company.

INTSITE has worked with 22 unique consortium partners across 8 countries, almost entirely through the large BIM2TWIN RIA consortium. As an Israeli SME, they bring a non-EU R&D perspective into European construction and built environment innovation networks.

Why partner with them

What sets them apart

INTSITE occupies a specific niche at the intersection of heavy construction equipment operations and AI vision systems — a space where few companies combine both deep software capability and real-world site deployment experience. As an Israeli SME, they carry influence from Israel's AI and computer vision industry into European construction innovation, which is an uncommon profile in AEC consortia. Their dual track record — owning a product concept as coordinator and delivering as a technical partner in a large RIA — demonstrates both entrepreneurial initiative and consortium integration skills.

Notable projects

Highlights from their portfolio

  • BIM2TWIN
    Their largest and most technically rich project (€433,750), placing INTSITE's AI capabilities inside a major RIA consortium building a digital twin platform for optimal construction management — the clearest signal of their current strategic direction.
  • AUTOSITE100
    Coordinator role on their own SME Phase 1 feasibility study for autonomous crane AI, demonstrating product-level maturity and that the construction vision system is a proprietary technology, not just a consulting capability.
Cross-sector capabilities
Industrial safety and autonomous equipmentSmart infrastructure monitoringIndustry 4.0 and digital manufacturingAutonomous vehicles and robotics
Analysis note: Profile is based on only 2 projects. AUTOSITE100 carries no keywords in the dataset, limiting early-period analysis. BIM2TWIN keywords are rich but reflect consortium-level topics; INTSITE's specific workpackage role within that 22-partner consortium is not resolvable from the available data alone.
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