Big Data Analytics startups in France
There are 158 Big Data Analytics startups in France which include Shift Technology, Sinequa, Intersec, Sifflet, Braincube. Out of these, 76 startups are funded, with 48 having secured Series A+ funding, and 1 achieving unicorn status.
Over the past 10 years, an average of 7 new companies have been launched annually. Notably, several of these startups have been founded by alumni of HEC Paris, Stanford University and INSEAD.
Here is the list of top Big Data Analytics startups in France
AI powered fraud detection and decision support solutions for insurers. It offers cloud based end to end claim processing and filing solutions. The platform extracts, analyzes, and verifies structured, and unstructured data to support the decision making process. Offering includes financial crime detection, claim fraud detection, underwriting risk detection, and more. It offers range of product including improper payment detection, claims fraud,intake and document detection.
Key facts about Shift Technology
- Founded Year: 2014
- Location: Paris (France)
- Stage: Series D
- Total Funding till date: $320M
- Investors: Accel, Advent International and 14 Others
- Latest Funding Round: Series D, Nov 02, 2021, $*****
- Tracxn Score: 64/100 What is this?
- Competitors Rank: 51 of 3,384 Competitors
2. Sinequa
Sinequa provides a real-time cognitive search and analytics platform. It offers users unified information access to different textual and database data in real time, with analytics and visualization capabilities. Enables users to use its tools to create search-based applications and integrate intelligent enterprise search functionality into enterprise and industry-specific applications. Customers includes banking, consulting, consumer products, government, media, telecom, manufacturing and retail. The company also provides customer-facing employees and call center agents with an 360 degree view of all customer history and activity. It also claims to reveal implicit social networks of experts / expertise to find the right people when staffing a project, find internally available expertise on a given subject, avoid redundant research and development projects, accelerate product development and shorten time to market.
Key facts about Sinequa
- Founded Year: 2002
- Location: Paris (France)
- Stage: Acquired
- Total Funding till date: $28.2M
- Investors: Jolt Capital, Aurinvest and 2 Others
- Latest Funding Round: Series B, Jul 09, 2019, $*****
- Tracxn Score: 59/100 What is this?
- Competitors Rank: 2 of 171 Competitors
3. Intersec
Intersec is a data analytics solution provider. It allows users to collect real-time data and provides insights on streaming data for businesses. It collects data from IoT vendors, mobile applications, and app developers. The solutions allow users to manage fraud detection and take corrective action. Clients include Zain, Orange, SFR, Etisalat, O2, MTS, and more telecom operators. It caters to telecom, advertising, logistics, and smart cities.
Key facts about Intersec
- Founded Year: 2004
- Location: Paris (France)
- Stage: Series C
- Total Funding till date: $39.1M
- Investors: Omnes Capital, Highland Europe and 6 Others
- Latest Funding Round: Series C, Oct 30, 2018, $*****
- Tracxn Score: 59/100 What is this?
- Competitors Rank: 10 of 176 Competitors
4. Sifflet
AI based platform offering data observability solutions. It offers a full data stack observability platform that offers solutions for delivering actionable insights to data engineers and data consumers. It also provides solutions such as data monitoring, exhaustive mapping of data pipelines, data cataloging, and more.
Key facts about Sifflet
- Founded Year: 2021
- Location: Paris (France)
- Stage: Series B
- Total Funding till date: $35.8M
- Investors: Mangrove Capital Partners, EQT and 3 Others
- Latest Funding Round: Series B, Jun 19, 2025, $*****
- Tracxn Score: 58/100 What is this?
- Competitors Rank: 19 of 249 Competitors
5. Braincube
Cloud based IoT and data analytics for manufacturing business. It enables users to collect, integrate, and structure real-time data from IT and OT systems. The platform provides a real-time stream of data that helps users in data visualization for charting, graphing, and reporting. The platform collects raw production data from different systems and analyzes the data to provide visibility into the production conditions. Offering includes IoT solutions, digital twins, and more. It caters its solution to industries such as aerospace, oil and gas, chemicals, building materials, and more.
