Governments across Europe offer tax breaks to companies that invest in R&D, but nobody really knows which schemes work best for which types of businesses. WATSON built an analytics platform that maps out these tax credit programs, segments SMEs by type, and measures whether the funding actually leads to real innovation. Think of it like a comparison-shopping tool for R&D tax incentives — helping both policymakers and businesses see where the money goes and what impact it has.
Most European governments offer R&D tax credits to boost innovation, but they have no reliable way to measure whether these incentives actually work for different types of SMEs. This means billions in tax credits may be poorly targeted — some innovative companies miss out while others receive support that doesn't match their innovation profile. Policymakers and advisory firms lack the analytical tools to compare schemes across borders and optimize funding allocation.
WATSON produced an initial design for an ICT innovation analytics platform that integrates SME segmentation data, R&D tax credit mapping, and innovation impact indicators. The project delivered 2 outputs including the platform design, built on 3 concurrent studies covering SME market segmentation, tax credit impact analysis, and innovation measurement methodology.
If you are a policy consulting firm advising national or regional governments on R&D incentive design — this project developed a benchmarking methodology and ICT analytics platform that segments SMEs and measures the actual impact of tax credit schemes. It identifies gaps in funding allocation across different SME types, giving you data-driven recommendations instead of guesswork.
If you are an advisory firm helping SMEs claim R&D tax credits — this project created a segmentation model that maps innovating SMEs into distinct categories and compares how different European schemes serve each segment. You could use this to better target your clients toward the most relevant incentive programs across 4 countries studied.
If you are a public innovation agency managing R&D tax credit programs — this project developed innovation impact indicators and a methodology to quantify how tax credits translate into actual SME-led innovation outcomes. The WATSON platform integrates 3 concurrent studies covering SME segmentation, tax credit allocation, and societal impact measurement.
Based on available project data, no pricing or licensing model is described. The project was publicly funded research, so the methodology and findings may be accessible through the project website or published deliverables. Commercial use of the ICT platform would need to be negotiated with the coordinator KAPITALISE LTD.
The platform was designed to analyze R&D tax credit schemes across multiple European countries, with the consortium spanning 4 countries (EL, IE, NL, UK). However, the main deliverable is titled 'Initial Design of WATSON platform,' suggesting the tool reached design stage rather than full-scale deployment.
The project was coordinated by KAPITALISE LTD, a UK-based SME. IP from EU-funded RIA projects typically stays with the consortium partners. Licensing inquiries should be directed to the coordinator. The consortium includes 3 SMEs and 3 research institutes across 4 countries.
WATSON was funded under the INNOSUP-07-2017 topic, which specifically targets innovation support for SMEs. The methodology was designed to align with EU innovation policy objectives and aims to improve how R&D tax credit schemes serve European SMEs.
The project ran for approximately 22 months (December 2017 to October 2019). Based on available project data, the deliverable indicates an 'Initial Design' stage for the platform. Implementation timelines would depend on the maturity of the final outputs and the specific national context.
The WATSON ICT innovation analytics platform was designed for 'richer analysis' of R&D tax credit data, integrating results from 3 concurrent studies on SME segmentation, tax credit impact, and innovation indicators. Specific integration capabilities with external databases are not detailed in the available project data.
The WATSON consortium brings together 6 partners from 4 countries (Greece, Ireland, Netherlands, UK) with a balanced 50/50 split between industry and academia — 3 SMEs and 3 research institutes. The coordinator KAPITALISE LTD is a UK-based SME, which is notable because it means the project was led by the type of company it aims to help. The multi-country composition provides cross-border perspective on different R&D tax credit regimes, though the absence of partners from major R&D tax credit markets like France or Germany is worth noting. For a business buyer, the SME-led coordination suggests practical orientation, but the small consortium size and limited deliverable count (just 2) indicate this was a focused methodology project rather than a large-scale platform build.
Contact KAPITALISE LTD (UK) — the coordinating SME specializing in innovation analytics. Reach out via the project website or through SciTransfer for a facilitated introduction.
Want to know if WATSON's SME benchmarking methodology could improve your R&D tax credit strategy? SciTransfer can arrange a direct conversation with the research team and provide a tailored assessment of how this applies to your market.
