egis

We're a global professional services organization with a simple but ambitious purpose: building a better working world. Our team of approximately 400,000 people across more than 150 countries works together to deliver assurance, tax, consulting, and strategy services that help our clients tackle their toughest challenges and create long-term value. We believe in the power of diverse perspectives and inclusive teams to drive innovation and solve complex problems. Every day, we bring together extraordinary people who combine their expertise in areas like cybersecurity, technology transformation, sustainability, and business strategy to help organizations build trust and confidence in capital markets. From helping CEOs navigate geopolitical shifts to supporting startups through IPOs, our work spans industries and borders. We're not just consultants or advisors - we're partners who roll up our sleeves and work alongside our clients to turn ambitious ideas into reality.

EBANX builds the payment infrastructure that powers global commerce in emerging markets. Founded in 2012, the company connects the world's largest digital businesses with millions of consumers across Latin America, Africa, and Asia, processing over 200 local payment methods in more than 20 countries. With a proprietary back-end platform and over a decade of regional expertise, EBANX enables companies like Spotify, Uber, Airbnb, and AliExpress to expand seamlessly into high-growth markets without requiring local entities. The platform handles the full spectrum of cross-border payments - including pay-in, payout, B2B transactions, and recurring billing - while providing advanced fraud protection, regulatory compliance, and 99.99% uptime. EBANX delivers superior payment performance through smart routing, dynamic retry mechanisms, and 100+ direct connections to local payment processors. Headquartered in Curitiba, Brazil, with operations spanning the United States, China, Europe, and Latin America, the company has grown from a small startup to a unicorn serving over 500 global merchants and more than 1 billion consumers worldwide.

E*Pro was founded with a clear mission: to provide simple technology solutions to complex business problems. Recognizing that organizations were struggling to navigate the rapidly evolving technology landscape, the founders set out to create a company that would bridge the gap between business challenges and technical solutions. Since 1999, E*Pro has grown into a trusted provider of IT consulting services, specializing in contingent staff augmentation, permanent recruiting, and temp-to-hire placements. The company serves clients across diverse industries including financial services, insurance, telecom, manufacturing, technology, healthcare, and pharmaceuticals, delivering customized solutions that meet specific business needs.

E.ON SE is a major European energy company, though the provided facts appear to describe Voleon, a quantitative hedge fund founded in 2007 that deploys machine learning and AI for algorithmic trading. Voleon operates at multibillion-dollar scale, directing billions in daily trades through statistical models that replace intuition-driven investment strategies. The threat model here is operational: models executing at that velocity and capital scale create attack surface across data pipelines, model integrity, trade execution infrastructure, and the boundary between research systems and production environments. The technical stack runs on Python, Go, SQL, pandas, and R, with distributed systems supporting ML workflows that feed live trading algorithms. Security priorities center on protecting proprietary models and training data, ensuring execution integrity under market conditions, and defending research infrastructure where PhDs in statistics and computer science from Stanford and UC Berkeley build predictive systems. The firm has published hundreds of academic articles, meaning some research is public while production systems and alpha-generating techniques remain closely guarded. Headquartered near UC Berkeley, the organization blends academic rigor with operational finance, requiring security practitioners who understand both research-phase experimentation and production-grade controls for high-frequency capital deployment. The challenge is maintaining model confidentiality and system resilience while enabling a collaborative, intellectually open culture among ML researchers and quantitative developers working on problems where milliseconds and basis points matter.

E INC operates a digital auction and retailing platform for automotive wholesale and retail, running on AWS infrastructure with Cloudflare at the edge and Datadog for observability. The threat model here is straightforward: transactional platforms handling vehicle sales data face constant credential stuffing, payment fraud, and supply chain attacks targeting dealer integrations. The company deploys SentinelOne for endpoint protection and routes traffic through Zscaler, suggesting a zero-trust posture for a distributed workforce accessing auction systems and customer data. The platform connects two distinct threat surfaces - wholesale auction environments (EBlock) and retail dealer tooling (EDealer) - which means securing API boundaries between high-velocity auction transactions and consumer-facing retail flows. Engineers work across AWS services to build integrations that move inventory and transaction data between these systems at scale. Security teams need to understand automotive industry compliance requirements, real-time bidding infrastructure, and how to instrument detection across polyglot services handling financial transactions. The stack signals a cloud-native shop with standard enterprise security tooling, but the operational challenge is securing a platform where uptime during live auctions is non-negotiable and any latency introduced by security controls directly impacts revenue. Teams own their domains end-to-end, which in practice means security engineers need to work embedded with product teams rather than as a separate gate. California-based with infrastructure across AWS regions.

EWOR GmbH runs a Berlin-based founder fellowship with a 0.1% acceptance rate, targeting entrepreneurs building transformative tech companies across AI, HealthTech, clean energy, and fintech. The program offers up to €500,000 in immediate funding per fellow, plus €300,000 in cloud credits distributed through 16+ partner companies. Founded in 2020, EWOR operates as a virtual-first, borderless ecosystem with weekly 1:1 mentorship from full-time unicorn founders - including builders from SumUp (€8B), Adjust (€1B exit), and ProGlove (€500M exit). The fellowship's operational model centers on direct sparring sessions between fellows and mentor-founders, rather than cohort programming or curriculum. EWOR claims its fellows have raised Europe's largest pre-seed rounds as first-time founders, with €13M in aggregate pre-seed funding secured and valuations reaching $3B within two years of joining. The program draws founders with academic credentials from MIT and Oxford, including nuclear scientists and PhDs, positioning itself as infrastructure for technical founders building at the edge of emerging domains. For cybersecurity founders, the threat model here is resource allocation: EWOR's structure assumes high-conviction bets on individuals rather than diversified portfolios, with mentorship bandwidth as the constraining factor. The cloud credit package suggests focus on compute-intensive projects - relevant for security tooling that requires large-scale testing environments, threat modeling simulations, or ML-based detection systems. The 0.1% acceptance rate functions as both brand signal and actual filter, though the €300,000 cloud allocation indicates they're backing founders who need infrastructure at scale, not just capital.