Roseman Labs: Shaping the Future of Encrypted Data Spaces

Today, data is the foundation of innovation, especially in sectors like healthcare and finance. Harnessing sensitive information can lead to life-changing advancements, from breakthrough medical treatments to smarter investment decisions. 

However, sensitive data can’t be simply shared with third parties for evaluation, not least because of strict privacy regulations. Fortunately, there are technological solutions to this problem.

Roseman Labs was founded in 2020 by Roderick Rodenburg, Toon Segers, and Niek Bouman to develop a platform for secure collaboration on data encrypted by multi-party computation. It raised a €4M seed round in the fall of 2023 from Spacewalk VC, Matterwave Ventures, and NP-Hard Ventures and went through the Intel Ignite startup program.

Learn more about the future of encrypted data spaces from our interview with the co-founder and CTO, Niek Bouman:

Future of Computing News

🦾 Qualcomm Approached Intel About a Takeover in Recent Days (WSJ)

🦾 Chip Giants TSMC and Samsung Discuss Building Middle Eastern Megafactories (WSJ)

🦾 Tata Electronics and PSMC to build India’s first semiconductor fab (DCD)

🦾 Nvidia expected to produce 450,000 Blackwell AI GPUs in Q4 — potential $10B in revenue for the chipmaker (Tom’s Hardware)

🦾 First Intel Xeon W-3500 review lands with shocking realization — Intel excels at scientific computing and ML, but lags desperately everywhere else (techradar)

🦾 In-memory computing scheme accelerates machine learning while improving energy efficiency of traditional data operations (TechXplore)

🤖 Advancing the Accuracy-Efficiency Frontier with Llama-3.1-Nemotron-51B (Nvidia)

🤖 Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more (Google)

⚛️ Nvidia signs deal to work with Irish quantum computing company (The Irish Times)

⚛️ Quantum computing will have its “ChatGPT moment” in the next 18 months, says quantum boss (Tech EU)

Funding News

⚡️ HyperLight secures $37M in new funding (Lightwave Online)

⚛️⚡️ Milan-based Ephos raises €7.6 million to deliver glass-based quantum photonic chips (EU Startups)

🤖 DeepOpinion Secures €11 Million to Advance Enterprise Automation with AI Agents (DeepOpinion)

🤖 11x relocates to the US with $24m Series A (Sifted)

🦾 Semiconductor market scaleups to benefit from multimillion-pound investment from Innovate UK (Computer Weekly)

Good Reads

🦾 Cerebras (Contrary Research)

“Cerebras Systems is an AI chip manufacturer that builds what the company claims to be ‘the world’s largest chip.’”

🔥 Normal computing (Reading the quantum)

“When the folks at Normal Computing came up with Thermodynamic Linear Algebra last year, it immediately grabbed my attention. The paper presents what seemingly looks like a rather straightforward recipe for a better analog computer to solve linear algebra problems. In this post, I summarise the main result of their paper and ask: can this really work?”

🤖 The Intelligence Age (Sam Altman)

“How did we get to the doorstep of the next leap in prosperity? In three words: deep learning worked.”

🤖🦾 How AlphaChip transformed computer chip design (DeepMind)

“Computer chips have fueled remarkable progress in artificial intelligence (AI), and AlphaChip returns the favor by using AI to accelerate and optimize chip design. The method has been used to design superhuman chip layouts in the last three generations of Google’s custom AI accelerator, the Tensor Processing Unit (TPU).”

🤖 Summary of Ilya Sutskevers AI Reading List (Tensor Labbet)

“What follows is my own condensed and structured summary with about 120 words per item, free of mathematical notation, to capture the essential key points, context and some perspective gained from reading it with the surrounding literature.”

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