SciTransfer
Organization

DATAPOLE

French SME developing AI-based predictive software for smart, efficient urban resource management, validated through EU SME Instrument Phase 1 and Phase 2.

Technology SMEenvironmentFRSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
2
Total EC funding
€1.4M
Unique partners
0
What they do

Their core work

DATAPOLE is a French technology SME that develops AI-driven predictive analytics software for smart city resource management. Their core product, PrediSmart, uses intelligent prediction algorithms to optimise how cities use resources — likely energy, water, and related utilities — with the goal of reducing waste and improving efficiency at an urban scale. They progressed through the full EU SME Instrument pathway, completing a feasibility study (Phase 1) and then a full development project (Phase 2), suggesting a commercial-stage product rather than pure research. As a small private company operating as sole coordinator on both projects, they function as a product company seeking market validation and scaling capital, not a research consortium builder.

Core expertise

What they specialise in

Predictive analytics for urban resource managementprimary
2 projects

Both PrediSmart (SME-1) and PREDISMART (SME-2) are explicitly focused on intelligent prediction systems for smart, efficient use of resources in cities.

Smart city software developmentprimary
2 projects

The SME Instrument Phase 1 to Phase 2 progression on the same product indicates active commercial software development targeting city operators.

AI / machine learning applied to climate and energy efficiencysecondary
2 projects

Both projects fall under the P3-CLIMATE H2020 pillar, indicating the predictive system addresses climate-relevant resource consumption challenges.

Evolution & trajectory

How they've shifted over time

Early focus
Smart city resource prediction feasibility
Recent focus
PrediSmart commercial development and scaling

DATAPOLE's entire H2020 track record is a single product journey: from feasibility study in 2016 to full-scale development through 2020, both built around the same PrediSmart concept. There is no observable shift in thematic focus because the organisation pursued one defined product rather than a portfolio of research topics. The absence of keyword data and consortium partners means evolution can only be read through the SME Instrument stage progression — Phase 1 to Phase 2 — which signals growing technical and commercial maturity of the same core solution.

DATAPOLE completed the full SME Instrument arc for a single AI-based smart city product, suggesting they were in commercial go-to-market mode by 2020 — a potential technology provider rather than an ongoing R&D partner.

Collaboration profile

How they like to work

Role: consortium_leaderReach: Local

DATAPOLE consistently led both projects as sole coordinator, with no recorded consortium partners across either engagement. This is typical of the EU SME Instrument, which is designed for single-company innovation funding, so it does not reflect an inability to collaborate — but it does mean there is no evidence of how they perform inside a multi-partner consortium. Anyone considering them for a larger project should treat this as an open question and evaluate their collaborative track record through other channels.

DATAPOLE has no recorded consortium partners in H2020 data, which is a direct consequence of the SME Instrument funding model rather than a sign of isolation. Their network reach beyond these EU projects is unknown from available data.

Why partner with them

What sets them apart

DATAPOLE is one of the relatively few French SMEs to complete the full SME Instrument Phase 1 to Phase 2 journey on a smart city AI product, which indicates a level of technical credibility validated by EU evaluators at both stages. Their focus is narrow and specific — predictive optimisation of urban resources — which makes them a potential technology provider or integration partner for larger smart city or climate projects rather than a broad research contributor. The main uncertainty is whether PrediSmart reached commercial deployment after 2020, which would significantly change their value as a partner.

Notable projects

Highlights from their portfolio

  • PREDISMART
    The Phase 2 project at €1.3M represents successful progression through the EU SME Instrument's most competitive stage, validating both the technical feasibility and commercial potential of their AI-based urban resource prediction platform.
  • PrediSmart
    The Phase 1 feasibility study (€50K) is notable as the entry point that proved the concept worthy of EU funding, establishing the foundation for the larger Phase 2 award a year later.
Cross-sector capabilities
Smart city digital infrastructureEnergy efficiency optimisationClimate data analyticsUrban mobility and utilities management
Analysis note: Only 2 projects, both iterations of the same product under the SME Instrument (a solo-company funding scheme), with no keywords, no consortium partners, and no website available. The profile is derived almost entirely from the project title and funding scheme structure. Expertise claims are directionally sound but cannot be verified in depth. Post-2020 activity and commercial status of PrediSmart are unknown.