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Organization

UAB FACTOBOTICS

Lithuanian deep-tech SME developing standardised machine tending robots and non-contact sensors for manufacturing quality control.

Technology SMEmanufacturingLTSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
2
Total EC funding
€100K
Unique partners
0
What they do

Their core work

UAB FACTOBOTICS is a Lithuanian technology SME focused on developing automated industrial solutions for manufacturing environments. Their work centres on two distinct product lines: standardised machine tending robotics (Bendsai) and non-contact sensor systems for process quality control (Multicursor). Both products target manufacturers seeking affordable, deployable automation without custom engineering overhead. They operate as an innovation-stage company, having used EU SME Phase 1 funding to validate the commercial feasibility of each concept.

Core expertise

What they specialise in

Machine tending roboticsprimary
1 project

The Bendsai project (2017) explored a standardised robot designed to tend machines on production floors, aiming to reduce setup cost and complexity for manufacturers.

Non-contact sensing for quality controlprimary
1 project

The Multicursor project (2019) developed a non-contact sensor specifically for monitoring curing processes, addressing a quality assurance gap in materials or composites manufacturing.

2 projects

Both projects address automation gaps on the factory floor — one through physical robot manipulation, one through sensor-based process monitoring.

Evolution & trajectory

How they've shifted over time

Early focus
Standardised machine tending robotics
Recent focus
Non-contact sensing, curing quality control

Both H2020 projects fall within a narrow 2017–2019 window, making temporal evolution limited but readable. Their first effort (Bendsai, 2017) addressed the physical layer of manufacturing automation — getting robots to handle machine tending reliably and at scale. By 2019, their focus shifted toward the sensing and data layer, specifically non-contact measurement during curing, which suggests a move from hardware manipulation toward intelligent process monitoring. This is a plausible maturation path: having explored robotic actuation, they appear to be building toward closed-loop quality control systems where sensing and robotics could eventually converge.

FACTOBOTICS appears to be expanding from mechanical automation toward sensor-driven quality intelligence, which positions them for future work at the intersection of robotics and in-process measurement in manufacturing.

Collaboration profile

How they like to work

Role: consortium_leaderReach: Local

FACTOBOTICS has operated exclusively as a solo coordinator in SME Phase 1 feasibility studies, which by EU programme design do not require consortium partners. This means there is no meaningful collaboration history to assess — no recorded partners, no international co-applicants, no repeat relationships. Any future consortium involvement would likely be their first, making it difficult to predict how they perform in multi-partner settings.

FACTOBOTICS has no recorded consortium partners across either H2020 project, a direct consequence of the SME Phase 1 instrument being a solo-applicant scheme. Their network, if any, is not visible through EU project data.

Why partner with them

What sets them apart

FACTOBOTICS stands out as a Lithuanian deep-tech SME that has secured EU validation for two distinct manufacturing automation concepts within a two-year period — an indicator of consistent innovation activity rather than one-off opportunism. Their focus on standardised, deployable solutions (rather than bespoke integrations) suggests they are building products that can scale to manufacturers without heavy customisation. For a consortium builder, they represent a small but innovation-active Lithuanian technology company in a country underrepresented in H2020 manufacturing projects.

Notable projects

Highlights from their portfolio

  • Multicursor
    A non-contact sensor for curing quality control is a technically specific and commercially distinct niche — curing monitoring matters in composites, adhesives, and polymer manufacturing, where real-time process feedback has direct yield impact.
  • Bendsai
    Pitching a standardised machine tending robot as a first-to-market concept reflects product-level ambition, not just research curiosity — the EU feasibility study validated whether this could become a scalable commercial offering.
Cross-sector capabilities
Industrial robotics for food and beverage production linesNon-contact sensing for composites and advanced materialsSME-accessible automation tools for construction prefabrication
Analysis note: Only two small SME Phase 1 feasibility studies, both solo-executed with no consortium partners and no keyword metadata. Project titles are informative but project abstracts, deliverables, and report summaries are absent from the input data. The profile captures direction and product intent but cannot speak to technical depth, team size, TRL progression, or commercial outcomes. Treat this as a first-contact profile, not a full due-diligence assessment.
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