Deepbloo's answer

Deepbloo stands out by focusing on high-quality, structured intelligence rather than simple tender aggregation in Energy and infrastructure markets

Its key differentiators are:

• Deep coverage of the French market , combined with high coverage for international and donor-funded opportunities
• Advanced data structuring, making each opportunity directly usable (sector, buyer type, project context)
• Full-text analysis of documents, not just titles or CPV codes, to capture highly relevant tenders
• Detection of upstream signals (projects, investments, authorizations) before tenders are publishe
• Decision-oriented approach, helping teams quickly identify, prioritize, and act on the most strategic opportunities

In short, Deepbloo is designed to reduce noise and surface high-value opportunities earlier, enabling more efficient and strategic business development.

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.

Deepbloo's answer

A company should choose Deepbloo over other tendering platforms because it is designed to deliver more relevant, decision-ready insights with a superior user experience, especially in complex sectors like energy.

• User-centric interface: Deepbloo is built for fast navigation and clarity, allowing users to quickly access, filter, and understand opportunities without being overwhelmed by noise.
• Energy-sector specialization with AI models: Dedicated AI models analyze technical criteria such as installed capacity, technology type (solar, wind, storage), and project characteristics directly from documents, making it far easier to identify truly relevant opportunities.
• Advanced understanding of the French ecosystem: Deepbloo provides structured insights on public buyers, including local authorities and state entities, helping users understand who is behind each project and how the administrative landscape is organized.
• Higher relevance, less noise: Through full-text analysis and smart filtering, users spend less time sorting through irrelevant tenders and more time focusing on high-value opportunities.

In short, Deepbloo combines ease of use, sector-specific intelligence, and deep market understanding to provide a more efficient and strategic alternative to traditional platforms.

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

Deepbloo's answer

The primary audience of Deepbloo consists of professionals involved in business development, sales, marketing, and strategic decision-making, particularly in sectors driven by public procurement such as energy and infrastructure.

• Sales Directors / Commercial Teams use Deepbloo to access comprehensive and structured information on tenders, enabling them to respond more effectively and ultimately increase win rates and revenue.
• Business Development Managers rely on early-stage intelligence (upcoming projects, local authority decisions, investment signals) to position themselves upstream, well before tenders are officially published.
• Marketing Managers use the platform to assess market potential, especially in export markets, by identifying opportunity volumes, key geographies, and sector dynamics.
• Strategy and Executive Teams leverage Deepbloo for competitive intelligence (who won what, where, and why), as well as for understanding market size, trends, and positioning.

In short, Deepbloo is designed for teams that need both operational visibility on tenders and strategic insight on markets to drive growth.

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.

Deepbloo's answer

Deepbloo was founded in 2020 by Alexandre Guillemot, a former Business Development Director at General Electric and Alstom.

During his time developing international business through public tenders, he repeatedly faced the same issue: missing critical opportunities due to fragmented and incomplete information. Tracking tenders across multiple countries, platforms, and formats was time-consuming, unreliable, and often led to lost deals.

Frustrated by this inefficiency, he decided to build Deepbloo with a clear objective: ensure that no strategic opportunity is missed.

To achieve this, he brought together a team combining strong industry expertise in energy and infrastructure with advanced capabilities in data aggregation and artificial intelligence. The goal was not just to collect tenders, but to create a platform capable of structuring, analyzing, and enriching data at scale.

The result is a solution that reflects both:

• Deep operational understanding of how tenders drive business
• High technical standards in AI and data processing

In short, Deepbloo was born from a very practical problem in the field and built to solve it in a scalable, technology-driven way.

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.

Deepbloo's answer

Deepbloo is built on a combination of large-scale data engineering and advanced artificial intelligence, designed to handle complex and fragmented procurement data environments.

• Data collection and aggregation technologies The platform relies on robust data pipelines capable of collecting information from a wide range of sources (public platforms, institutional databases, international portals). These systems are designed to handle millions of data points, continuously ingesting, normalizing, and updating information.

• Data structuring and deduplication A key layer of the technology focuses on cleaning, deduplicating, and structuring data, as the same opportunity can appear across multiple sources and formats. This ensures that users access consistent, reliable, and non-redundant information.

• Document processing at scale Deepbloo retrieves and processes large volumes of documents (tender specifications, annexes, technical files), making them searchable and usable for further analysis.

• Artificial intelligence (AI) and domain-specific models The platform combines state-of-the-art AI models with proprietary models trained specifically on tender data. These models extract key business information, analyze technical criteria, and support advanced use cases such as opportunity qualification or automated summaries.

• Research partnerships in AI Deepbloo collaborates with leading research institutions such as LaBRI and Institut des Sciences des Données de Montpellier, bringing cutting-edge academic expertise into the platform’s AI capabilities.

In short, Deepbloo combines industrial-grade data infrastructure with specialized AI to transform complex, unstructured procurement data into actionable intelligence.

Electe's answer:

Python, Machine Learning, Natural Language Processing, Cloud Infrastructure

Deepbloo's answer

• Engie
• Terralpha (SNCF)
• EDF
• General Electric
• Siemens
• Idex
• Coriance
• TSG Solutions
• Alphee
• Newheat

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