Explonia's answer

Explonia combines study design, data collection, recruitment, response-quality checks, publication-grade analysis and reporting in one browser workspace. Researchers can build surveys, experiments and conjoint studies, then run CFA, CB-SEM, PLS-SEM, regression, mediation, EFA, reliability and repeated-measures analyses without moving data between separate tools. The platform also produces editable APA-style result text, tables, diagrams and research exports. Its calculation validation notes are public, and free research tools can be used without an account.

Electe's answer:

Electe aims to create significant benefits for its customers by improving their experience in using its products and services. Data analysis tools and artificial intelligence-based solutions enable SMEs to make more informed, data-driven decisions. Companies expect a solution such as this to improve operational efficiency and reduce the time needed to perform manual and repetitive tasks, allowing them to focus on the core business. AI-based analytics tools and data integration capabilities can meet these expectations, helping companies make more informed decisions and more easily monitor the process of achieving their goals.

Explonia's answer

Choose Explonia when you want one quantitative research workflow instead of assembling a survey builder, participant platform, statistics package and reporting template. It is especially useful for researchers who need advanced methods but want clear, editable outputs rather than code-only results. Another product may be a better fit if you mainly need qualitative interviews, enterprise CRM automation or a general-purpose form builder; Explonia focuses on rigorous consumer and social research.

Electe's answer:

Electe differs from competitors in its easy-to-use interface, customizable reporting options, and a market strategy targeted at small and medium-sized businesses. Electe's pricing model is also more affordable than its competitors, making it an attractive option for small businesses. In addition, Electe plans to offer a discount and referral program to incentivize current customers to refer new customers. The competitive landscape of the data analytics platform market has become increasingly crowded in recent years, with many new entrants and established players vying for market share. The market is dominated by large players, but there is also a growing demand for options that are easier and cheaper to use. As the market continues to evolve, it will be important to stay ahead of the competition by continuing to offer innovative features and a focused market strategy

Explonia's answer

Explonia is primarily for academic researchers, doctoral researchers, market and consumer insights professionals, and research teams conducting quantitative consumer or social studies. It is designed for people who need to plan a study, collect responses, control fieldwork quality, analyse data and prepare publication-ready results in one workflow.

Electe's answer:

The service proposed by Electe is aimed at SMEs at this stage. The target market does not consist of a well-defined type of company but includes all companies, which are daily in the condition of having to make managerial decisions with positive and negative repercussions that will affect the entire business reality. Electe, will mainly target small and medium-sized enterprises because they have structural and business organization characteristics for which they might be interested in receiving support through the use of software that reduces the commitment of internal resources. In addition, resorting to the use of an innovative digital platform increases the digitization process of companies, the main goal of the NRP. Especially considering that the digital transition is proceeding slowly in our country, new software using AI can increase its attractiveness to businesses. Electe's target companies are, specifically, all those businesses that perform important data analysis that can be complicated and time-consuming and resource-intensive for the individual company.

Explonia's answer

Explonia grew from a recurring problem I saw in academic and applied research: one study was often split across a questionnaire builder, a recruitment service, spreadsheets, statistical software and a separate reporting workflow. Important decisions and quality checks were easily lost between those steps. I built Explonia to make rigorous quantitative research runnable from start to finish, with transparent calculations and outputs that researchers can inspect and edit.

Electe's answer:

Electe S.r.l. was born from the idea of Fabio Lauria who, in February 2023, decided to establish an innovative start-up to formalize his business and service, namely a platform for collecting a large amount of data that, through the use of modern I4.0 technologies such as artificial intelligence, is able to elaborate strategic management solutions for small and medium-sized enterprises. Electe is the result of the experience and resourcefulness of its founder, a manager who, despite his young age, has more than 10 years of professional experience in the field of technological systems and who, for 3 years, served as CEO at a company that provides plant solutions dedicated to the industrial, civil and tertiary sectors. It is precisely management's awareness and in-depth knowledge of the industry that is behind the idea that led to the establishment of Electe S.r.l., whose vision is to revolutionize data analysis through artificial intelligence, offering innovative solutions to improve business decisions and operational efficiency. Guided by the charismatic leadership of its founder, Electe aims to become a global benchmark in the industry.

Explonia's answer

Explonia is built primarily with TypeScript. The research interface uses React and Vite. The API runs on Node.js with Express, and application data is stored in PostgreSQL using Drizzle ORM. Statistical calculations and exports are implemented within the platform and validated against established R packages and reference outputs.

Electe's answer:

Python, Machine Learning, Natural Language Processing, Cloud Infrastructure

Electe's answer:

• Retail and e-commerce companies optimizing sales and inventory decisions
• Manufacturing firms using predictive analytics for operations
• Healthcare organizations streamlining data-driven workflows
• Financial services companies automating reporting and compliance
• Professional services firms leveraging AI for client insights