
Invyo
INVYO - Market Intelligence Fintech.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | €1.4m | Seed | |
Total Funding | 000k |
EUR | 2019 | 2020 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | (96 %) |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Company filings or news article
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Invyo is a French financial technology company established in 2018, with its headquarters in Paris and an additional office in Madrid. The company was founded by Alexandre Velluti (CEO), Xavier Gomez (COO), and Gautier Velut (CTO). The founding team's journey began with the idea of creating a synergy between the financial and tech sectors. Co-founder Xavier Gomez, for instance, has an extensive 18-year background as an international banker at institutions like Credit Suisse, with experience in wealth management and private equity. This financial industry expertise, combined with a focus on digital transformation, spurred the creation of Invyo.
Invyo operates on a business-to-business (B2B), software-as-a-service (SaaS) model, providing data intelligence solutions for investment professionals. The company serves a clientele of over 50 organizations, including venture capital funds, private equity firms, corporate venture capital, and family offices. Revenue is generated through the sale of its technology solutions, which are designed to address the specific data challenges of its clients.
The core of Invyo's offering is a data platform that leverages artificial intelligence to assist investors. It transforms raw data from a multitude of sources—such as databases like Pitchbook and Dealroom, social networks including LinkedIn, and internal client tools like CRMs—into actionable insights. The platform's capabilities are centered on three main pillars: data sourcing, processing, and visualization. Specific features include the automatic detection of investment opportunities, identification of new limited partners (LPs), real-time monitoring of market signals, and a scoring system to rate companies within a deal flow. By automating these processes, Invyo aims to save investors significant time, reduce data management costs, and help them uncover companies that are not on the general market's radar. The firm also assists in identifying key executive-level personnel for portfolio companies. Customer testimonials highlight the platform's effectiveness in optimizing the LP acquisition process, with one user reporting a conversion rate increase from 50% to 72%.
Keywords: Invyo, financial technology, data intelligence, private equity, venture capital, family offices, B2B SaaS, investment analysis, AI in finance, deal sourcing, LP identification, market signals, portfolio management, data visualization, deal flow management, investment opportunities, C-level identification, data-driven investing, financial data analysis, startup investing