RAISE Summit

Naveen Rao, Databricks ｜ RAISE Summit 2025

Naveen Rao, John Furrier

At the RAID Summit in Paris, Databricks executives outlined a strategic pivot from raw data analytics to treating information as proprietary ingredients for generating competitive AI assets. Jonathan Frankel championed a methodological shift that inverts traditional machine learning by using observational data to validate pre-defined world models, while introducing automated evaluation frameworks to replace the "magic thinking" of earlier generative AI trends. Concurrently, the platform's integration of "Genie" enables natural language querying to dynamically generate SQL and visualizations, signaling a broader industry transition where business logic becomes deeply embedded within automated data infrastructure.

Paul Bloch, DDN ｜ RAISE Summit 2025

Paul Bloch, John Furrier

DDN, a self-funded startup transitioning from high-performance computing to AI infrastructure, has solidified its position as a critical partner for NVIDIA and XAI by deploying storage solutions capable of scaling from single GPUs to over one million. The company recently launched its Infinia data ocean platform to support massive foundation model training and low-latency inference, capitalizing on the emerging sovereign AI trend where nations integrate government and infrastructure into unified national data platforms. Despite intense market competition, DDN leverages its deep Caltech R&D roots and founder-led culture to retain customers who require the extreme scale and performance necessary for next-generation AI workloads.

Anthropic: The Great Equaliser: How Agentic AI Is Powering Europe’s Next Generation of Startups

Guillaume, Charlie

Guillaume, Head of Anthropic for EMEA, discusses the strategic deployment of the Cloud4 coding model which self-wrote 90% of its own code to power a growing ecosystem of European startups like Dust and Lovable. The conversation highlights how major enterprises including BMW and Novo Nordisk are utilizing these models as virtual collaborators to accelerate R&D and customer service, while emphasizing Anthropic's strict data sovereignty and safety policies to address European regulatory concerns. Amidst this expansion, the company aims to hire over 100 new staff members across its London, Dublin, and Zurich offices to support the region's robust AI funding environment and mitigate local talent gaps.

NextSilicon & More Than Moore. The Silicon Revolution: Why the Future of Hardware is Software

Next Silicon introduces a reconfigurable compute platform that utilizes a smart runtime algorithm to dynamically adjust chip hardware within 20 nanoseconds for CPU, GPU, and AI workloads without requiring code rewrites. This "software-aware hardware" targets the most computationally intensive code segments to deliver projected performance speedups of 4x to 10x while consuming only a quarter of the energy used by static ASICs. By supporting established languages and frameworks like CUDA and PyTorch, the system aims to decouple hardware efficiency from the need to pre-anticipate future algorithmic shifts.

A Chat with AI21 Labs: Building Custom AI Systems That Actually Work From Hype to Business Impact

Yuval, Asaf

AI21, a foundational LLM builder, highlights the persistent gap between individual AI experimentation and institutional production adoption, driven by "ChatGPT Syndrome" and fear of missing out. The company identifies a critical "underground movement" where employees innovate silently due to a lack of official guidelines, resulting in disjointed pilots and missed collective wisdom. To escape this paralysis, successful deployment requires multidisciplinary teams to map granular workflows and align stakeholders on clear KPIs, transforming informal usage into a structured, high-value organizational framework.

Roshn Group & Enhance Ventures: AI Meets Real Estate: Hype or Real Value

Robert, Yazeed Al-Ghamdi, Aristide, Maria Paula

Saudi Arabia's Roshan giga-project, mandated to deliver 400,000 housing units under Vision 2030, is leveraging Google Cloud AI and a proprietary digital sales platform to generate over 6 billion SAR in revenue while reducing land selection time by 40%. This hybrid transaction model, which integrates global KYC protocols and visualizes amenities for remote buyers, was further accelerated by the region's largest PropTech hackathon that sourced external solutions for operational bottlenecks. Driven by a young demographic and supported by upcoming infrastructure projects, the organization plans to launch a corporate venture capital arm and export its technology stack to international markets within the decade.

Workshop: Agentic Pipelines orchestrating open-source LLMs ft. n8n & Nebius AI Studio

Dylan Bristow

Nebius, a NASDAQ-listed neocloud provider backed by Deep Capital, offers an AI Studio platform featuring over 30 open-source models hosted in EU data centers with strict zero-data-retention policies. The service enables enterprise-grade AI agents by optimizing inference for speed and structured outputs while providing fine-tuning without additional hosting costs. Through a demonstrated Nike sales analysis pipeline, the platform proves its ability to orchestrate complex autonomous workflows that integrate reasoning, memory, and external tool connections for scalable business applications.

Serge Palaric, NVIDIA & Antoine Vaissié, Google Cloud: Better together

Serge Palaric, Antoine Vaissié, Serge Lachapelle

Google Cloud and NVIDIA have deepened their strategic partnership to deploy enterprise-scale AI, becoming the first provider to offer Blackwell architecture GPUs including the B200, GB200, and G4 instances for immediate production use. This collaboration integrates NVIDIA AI Enterprise software and NIM inference microservices with Google's infrastructure to support evolving post-training and agentic AI workloads across healthcare, finance, and industrial sectors. By combining these technologies with confidential computing options and joint engineering efforts, the alliance enables organizations to accelerate secure AI deployment while reducing operational risks and addressing specific industry workflows.

A Fireside Chat with Himanshu Tyagi, CEO & Co-Founder of Sentient Foundation ft. FINOS

Himanshu Tyagi, Imancho Tiagi

Co-founded by academic Iman Shutyagi, the Sentient Foundation advocates for a blockchain-enabled "creator economy" that allows open-source AI contributors to tokenize and monetize high-value assets like data and hyperparameters. The organization promotes open auditing and red teaming as primary safety mechanisms while predicting that global AI advancement will depend on a decentralized baseline rather than closed models or rigid regulatory thresholds. By targeting digital-native developers and utilizing decentralized compute, the initiative aims to sustain a competitive, open-source ecosystem where software contributions yield long-term financial value alongside technological progress.

A Keynote with Richard Rizk, & IRobert Rizk, BLACKBOX.AI

Richard Rizk, IRobert Rizk

Co-founded by Robert and Richard Co, Blackbox has scaled its autonomous coding agent platform to over 20 million users, securing the top rank among code-related AI startups on Andreessen Horowitz's 2024 adoption list. The system distinguishes itself through features like Figma-to-code conversion, voice-enabled remote execution, and a "Robocoder" module that resolves GitHub issues asynchronously within isolated secure environments. While integrating with over 35 IDEs and offering unified model access, the company emphasizes a human-in-the-loop philosophy to augment developer productivity rather than replace engineers.

The Efficiency Enigma: Can Smarter Software Save Us from Hardware Bottlenecks

Paul Moscovitch, Jean-Laurent, Stefan, Craig Tavares, Romain Guyett, Jared, Bob

Industry leaders report that Moore's Law persists through advanced silicon technologies, yet the AI sector faces a critical shift from raw compute scarcity to bottlenecks in memory bandwidth and power efficiency. As data centers transition from training-heavy operations to a 50-50, and eventually 80-20, split favoring inference, organizations are adopting hybrid strategies that pair expensive GPU clusters for training with CPU-based solutions for latency-sensitive edge tasks. Strategic guidance now emphasizes aligning hardware selection with specific workloads while prioritizing novel application development over premature cost optimization.

Contentsquare & Eurazeo: From Data Rich to AI Smart Reinventing a Scale Up in Real Time

Anne-Charlotte Filbert, Ilan, Remy

Eurazeo's Anne-Charlotte Filbert and Content Square's Ilan analyzed the latter's strategic pivot from a traditional analytics provider to an AI-native platform following a 2023 acquisition of Heap. Driven by CEO John, the company restructured its organizational culture and product roadmap to prioritize agentic workflows, launching proactive "Sense" insights while implementing strict security protocols for tools like Gemini and Dust. The discussion concluded that future market survival hinges on the "velocity" of leadership to transform late-stage enterprises, contrasting Content Square's scale with the agility required for AI-native success.

A Fireside Chat with Sébastien Verger, CTO at Dell Technologies ft.The French Tech Journal

Sébastien Verger, Francois Beaufort

Dell positioned AI as a core strategic pillar through its "Dell AI Factory," addressing the critical challenge where 80% of proof-of-concepts fail to reach production by emphasizing data quality and secure on-premises deployment. The company highlighted its logistical prowess in rapidly scaling infrastructure for partners like XAI and Mistral AI while launching tools such as Dell Pro AI Studio to enable local model execution on AI PCs. Looking toward the next five years, Dell anticipates healthcare breakthroughs in personalized cancer treatments and champions sovereign European data strategies to ensure sustainable, responsible AI governance.

A Keynote by Thomas Sohmers, Co Founder & CTO of Positron

Thomas Sohmers

Positron AI, a startup founded in 2023, is deploying specialized hardware to address the inference bottleneck that now drives global GDP growth and limits traditional GPU efficiency for Transformer models. Their Atlas server and upcoming Titan system prioritize massive memory bandwidth over raw compute, delivering 70% higher throughput per dollar while operating at 150 watts to eliminate the need for liquid cooling. By enabling concurrent execution of multiple models up to 512 billion parameters on standard air-cooled infrastructure, the company aims to drastically reduce AI operating costs and reshape the economic landscape of software development.

Merantix, BlueBridge, NEXT AI & Balderton: Moats in the Age of AI Separating Winners from Wannabes

Solène, Nicole, Moody, Max, Breeze, Lina, Bianca

Solène of Baldur Capital moderated a panel with industry leaders from Bluebridge, Mirantics, and Next.ai to dissect the evolving nature of AI competitive advantages as unstructured data becomes automated and model volatility increases. The discussion highlighted that sustainable moats now rely on human engineering, complex legacy system integration, and strong distribution networks rather than proprietary data or static wrappers. Participants emphasized that investor success signals center on team tenacity and founder vision, urging founders to prioritize solving tangible, high-stakes problems over theoretical defensibility strategies.