Sopra Steria Ventures

The bridge between the startup ecosystem and Sopra Steria Group

Bringing scale to teams with virtuous and bold ideas

We acknowledge that our World is changing, Business needs are shifting, and Technology is evolving.
The single constant is People.
We believe the Future is in the hands of the next-generation of early-stage founders willing to challenge status quos.

Sopra Steria Group has created Sopra Steria Ventures to serve as the bridge between the startup ecosystem and its clients.

WHO ARE WE?

Sopra Steria Ventures (SSV) is the strategic venture arm of Sopra Steria Group. Our mission is to generate startup partnerships for the Group and co-develop strategic offerings. 

 

We are Sopra Steria Group + Ventures.

 

WHAT DO WE DO?

We support early-stage startups through strategic partnerships and/or direct investments between €250K and €1.5M.

For investments, we primarily target: 

  • Early-stage Enterprise Software and Deep Tech startups in Europe 
  • with a technological focus on AI/ML, Quantum, Blockchain, AR/VR… 
  • supporting Financial Services, HR, Digital Real Estate, Aeronautic & Space, Cybersecurity, Defense & Security, Data+Cloud and Enterprise Sustainability industries. 

On top of that, we occasionally support VC firms as LP on “exploratory” themes (Future of Computing, Aeronautic, Sustainability … impress us!).

 

We are founder-centric, business-oriented and technology-driven. 

 

WHAT DO WE BRING?

We understand the needs of founders and enterprise client requirements as our team combines experiences from all sides of the table: operating startups, investing in technologies, and working as corporate executives.
We offer to assist in providing industry knowledge, support the acceleration of your growth by bringing technological maturity, and enable access to our ecosystem of clients & partners.

 

We are People + Technology.

Portfolio

Equity Investments 

Albert
AI-enabled Strategic Workforce Planning HR solution

Algoan
Credit scoring API solution

HoloCare
AR for surgical planning

Particeep
Embedded finance solution for subscription process

Ravel
The world's fastest fully homomorphic encryption technology

SkyReal
VR solution for industrial use cases

Sky Republic
ESG wallet powered by blockchain

Vero Technologies
E2E wholesale auto-finance platform

 

 

Funds Investments 

Karista
Karista’s fund dedicated to SpaceTech

Quantonation
Spring Invest’s fund dedicated to Retail & Supply Chain

 

Spring Invest
Spring Invest’s fund dedicated to Retail & Supply Chain

Brienne III & IV
Tikehau Ace Capital’s 3rd & 4th fund dedicated to Cybersecurity

Truffle Capital
Truffle Capital’s fund dedicated to Fintech & Insurtech

 

Wind Capital
Wind Capital's fund dedicated to Climate+Sustainability

Team

Newsroom

| Ivana Butorac

Encryption (1/2) - The role of encryption under GDPR: solving the confusion
Encryption is a well-known and effective security measure applied by IT professionals all over the world to ensure that personal data is not subject to unauthorised access or disclosure. However, since the adoption of the EU General Data Protection Regulation (GDPR) in May 2018, encryption can also be perceived as a multi-layered legal concept that leverages data protection and privacy. 

| Kevin Macnish

Putting Ethics at the Heart of AI in Cyber
The application of Artificial Intelligence to Cybersecurity has become the next frontier of technology and capability development.  AI in Cyber will provide decisive advantage. However, this does not come without risks or concerns. 

| Benoit Spolidor, Maxime Claisse

Supply Chain Management in Aerospace: maximising agility with AI-based risk monitoring
One of the main challenges of today’s Aerospace Supply Chain Practitioners is to manage their operations in such a complex and volatile environment. The Supply Chain purpose of fulfilling customer service promise while controlling costs within the overall industrial chain has become harder, in particular because Aerospace manufacturers are facing a lack of visibility in their supply and delivery processes.

| Benoit Spolidor, Maxime Claisse

How can Artificial Intelligence support the performances of Aerospace Supply Chain?
Artificial Intelligence is having a positive impact on almost every industry. It improves decision making processes, creating fast and consistent operations management. In the specific field of Aerospace, our conviction is that to be fully efficient, AI must be developed with dedicated characterics. Sopra Steria invests on these features for sustainable and large scale transformation by AI for Aerospace companies.

| Torbjørn Meland

Remote experts help technicians on-site

New technology helps maintain production and increase productivity at operating facilities by reducing the need to send technical experts between factories. By using HoloLens 2, Microsoft Teams, Intune and Dynamics 365 combined with a design-drive process, you can get a solution that gives on-site technicians support and help from remote experts.

| Jérôme Perdriaud, Satish Srivastava

AI lead Software Engineering: Sopra Steria Ecosystem Offerings
Apart from internally developed IP’s given in the previous edition we also have an ecosystem of mature market leading companies, start-ups as well as labs and universities to build competency in their offerings and use them to help our clients. Following are some of the offerings from the ecosystem.

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering: Sopra Steria Offerings
Sopra Steria has been investing in AI led software engineering in order to help our clients not only reduce cost and gain efficiency but also empower their businesses by making the processes more responsive and scalable.

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering Use cases: Application to Testing, Deployment & Operations
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements, design and development phases. In this edition we will see how subsequent Testing, Deployment and Operations activities are affected by AI.

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering Use Cases: Application to Development
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements gathering, Design phases. In this edition we will see how software development activities are affected by AI.

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering Use Cases: Application to Requirements & Design
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management phases. In this edition we will see how Requirement engineering is affected by AI.

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering Use Cases: Application to Project Management activities
Using various AI techniques such as machine learning, deep learning, natural language processing (NLP), information visualization etc it is possible to guide the software engineering professionals with AI enabled decision making and automations. 

| Jérôme Perdriaud, Satish Srivastava

AI led Software Engineering
CIOs are expected to partner business, and at times leads, the delivery of digital transformation. The existing IT landscape of a company needs to be rationalized and modernized to be able to achieve the expected business velocity.