Cartesian Systems

IT Software Services / Solutions

Conifers.AI is transforming security operations centers (SOCs) with CognitiveSOC™, an agentic AI platform that enables enterprises and managed security service providers to achieve SOC excellence. The company addresses a critical challenge in modern cybersecurity: SOCs are drowning in alert volumes - processing an average of 960 alerts daily, with large enterprises facing over 3,000 alerts from 30+ security tools. This overload forces security teams to make difficult trade-offs between comprehensive coverage and thorough investigation quality. CognitiveSOC™ stands apart as the industry's first mesh agentic AI platform built specifically to solve complex, multi-tier SOC challenges at scale. Unlike traditional automation tools that focus solely on basic triage, Conifers delivers comprehensive coverage across all investigation tiers with verified performance: 87% faster investigations, 3x SOC throughput, approximately 2.5-minute average investigation time, and greater than 99% accuracy. The platform combines multiple AI techniques - including large language models, domain-specific language models, machine learning, statistical analysis, and static analysis - in an intelligent orchestration layer that applies the optimal combination of capabilities to each incident. This patent-pending architecture continuously learns from organizational policies, procedures, and risk tolerances, ensuring investigations align with each customer's unique context. Founded in 2024 by security industry veterans and backed by SYN Ventures, PICUS Capital, and Washington Harbour Partners, Conifers has been recognized by Gartner as "the company to beat in AI SOC Agents for threat investigation."

We're a team of more than 350 people from almost 50 nationalities, working together to transform how offline businesses reach their customers. As part of Axel Springer SE, we've spent 16 years building digital platforms that connect millions of shoppers with their favorite local stores and brands. Through our apps kaufDA and MeinProspekt in Germany, and Bonial in France, we help over 1,500 retailers - from major chains like Lidl, dm, and Woolworth to local businesses - reach 14.4 million unique users every month with relevant, efficient advertising that actually saves time, money, and paper. What really drives us is creating a workplace where people can bring their full selves to work. We've built our culture around five principles: owning your impact, putting people at the center, embracing reality with data-driven decisions, operating as leader-leader with distributed authority, and practicing idea meritocracy where the best concept wins regardless of hierarchy. These aren't just words on a wall - they're woven into how we hire, onboard, collaborate, and grow. We offer flexible working arrangements including remote work options, invest in learning and development through regular goal-setting conversations, and actively support diversity initiatives like our Women in Tech program because we believe different perspectives make us stronger.

In 2019, Edo Liberty was working as a research director at AWS and at Yahoo before that, where he witnessed the tremendous power of combining AI models and vector search to dramatically improve applications such as spam detectors and recommendation systems. While building custom vector search systems at enormous scales, he assumed there was already a packaged solution available for everyone else who didn't have access to the same engineering and data-science resources. To his surprise, there wasn't. This gap in the market led Edo to found Pinecone, creating the vector database category of solutions from scratch. The company was born from the recognition that developers and engineering teams of all sizes needed accessible storage and retrieval infrastructure for building and running state-of-the-art AI applications. This founding principle of accessibility drove Pinecone's evolution into a fully managed service known for its ease of use, enabling thousands of companies to ship AI applications faster and more confidently.

Bloomreach is revolutionizing ecommerce through its AI-powered Loomi platform, which unifies real-time customer and product data to create limitless personalized shopping experiences. By understanding individual customer intent and connecting that intelligence across every channel - from email and SMS to web search and mobile apps - the company enables brands to deliver magical, memorable interactions that drive measurable business growth. Their autonomous search technology goes beyond keyword matching to truly comprehend what shoppers want, while their conversational shopping agents scale the expertise of the best sales associates to guide customers to perfect purchases instantly. Since 2009, Bloomreach has grown to power 25% of all ecommerce experiences in the US and UK, serving over 1,400 global brands including American Eagle, Pandora, and Red Bull. With 900+ employees worldwide and multiple patents for their AI/ML innovations, they process 250 million searches daily and help marketers execute 100,000 email campaigns every day. Their mission - to drive magical and measurable experiences for people and businesses - has made them the trusted Commerce Experience Cloud for retailers, brands, and B2B companies seeking to break the limits of what's possible in digital commerce.

Protogon Research builds autonomous AI systems and deploys them directly into financial markets through proprietary trading. The company's stated mission is to develop the most intelligent AI systems in the world, using trading as a practical testbed for AI that genuinely understands the world - rather than one that simply replicates human behaviour or produces superficial outputs. Its long-term research aim is to chart a path toward superintelligence. The company was founded by Rafael Cosman, a serial entrepreneur who previously co-founded Archblock and the TrueFi DeFi protocol. Protogon Research is backed by Zelda Ventures, OVO, and StartX, and is a member of the NVIDIA Inception Program. Protogon's technical work spans machine learning, AI research, trading, and operations. The company describes its technology as original, proprietary, and defensible, and positions itself deliberately apart from traditional quantitative trading firms: the priority is building lasting, transformative AI systems rather than optimising for short-term trading profits. The team is described as highly technical, with deep expertise across its core domains.