Both the AppIOS (2015) and Starcounter (2017–2019) projects center on building enterprise software on an in-memory computing foundation, with the Phase 2 project explicitly naming it in the title.
STARCOUNTER AB
Swedish tech SME building an in-memory computing and AI platform for high-performance enterprise software, backed by EUR 2.2M in EU SME Instrument funding.
Their core work
Starcounter AB is a Swedish technology company that developed an in-memory computing platform combining a high-performance database engine with an application runtime in a single process — eliminating the traditional separation between data storage and application logic. Their core product enabled enterprises to build software applications that run orders of magnitude faster than conventional database-backed systems by keeping all data resident in RAM. Through two successive EU SME Instrument projects, they advanced this platform to incorporate artificial intelligence capabilities, targeting next-generation enterprise software development. The company positioned itself as a platform vendor for businesses needing real-time, high-throughput transaction processing at scale.
What they specialise in
The shared subtitle 'Platform for Building Next Generation Enterprise Software' across both projects confirms this as their defining commercial focus.
The 2017–2019 SME-2 project title explicitly adds 'Artificial Intelligence Platform' to the in-memory computing core, indicating a strategic expansion into AI-augmented data infrastructure.
How they've shifted over time
No structured keywords are available in the dataset to track terminology shifts, so the evolution must be read from project titles and funding scheme progression. Between 2015 and 2017, the focus was on establishing the core platform concept — validated through the SME Instrument Phase 1 feasibility study (AppIOS). By 2017, the emphasis expanded to include artificial intelligence as a first-class component of the platform, funded at the much larger SME-2 scale, suggesting market validation had confirmed demand for AI-enhanced in-memory computing in enterprise contexts. The trajectory is a deliberate deepening from pure platform play toward an AI-integrated data infrastructure product.
Starcounter was moving toward positioning its in-memory engine as an AI-ready data infrastructure layer for enterprise software — a direction that, if continued, would place them in the real-time AI inference and operational analytics space.
How they like to work
Starcounter operated exclusively as a solo coordinator across both H2020 projects, which is characteristic of the SME Instrument funding scheme — designed for single companies commercialising their own innovation. They recorded zero consortium partners and zero cross-border collaborations, meaning there is no evidence of network-building or joint R&D with external organisations within their EU project history. For potential partners, this signals a company that develops proprietary technology independently and would likely engage others as customers or technology licensees rather than as co-developers.
Starcounter has no recorded consortium partners or collaborating countries within their H2020 participation — both projects were executed as sole beneficiary under the SME Instrument scheme. Their network within EU-funded research is effectively non-existent, which is structurally expected for their funding path but limits what can be inferred about their external relationships.
What sets them apart
Starcounter occupied a technically distinctive niche: rather than building an application on top of a database, they merged the two into a single runtime, which is architecturally unusual and commercially rare among European SMEs in the database space. Their H2020 track record demonstrates successful progression from Phase 1 feasibility to a multi-million euro Phase 2 development grant — indicating that the European Commission assessed their technology as commercially viable and sufficiently differentiated. For anyone considering them as a technology partner or licensor, they represent a potential source of high-performance transactional infrastructure, particularly relevant for applications where latency and throughput are critical.
Highlights from their portfolio
- StarcounterThe largest grant in their portfolio at EUR 2,186,011 under SME Instrument Phase 2, representing a full commercial development push for an AI-enhanced in-memory computing platform — the definitive statement of the company's technical ambition.
- AppIOSA Phase 1 feasibility study at EUR 50,000 that validated the market case for a next-generation enterprise software platform, directly enabling the progression to the substantially larger Phase 2 award.