Welcome back to the World of DaaS Roundup. This week’s signals from across the data economy highlight three shifts:
→ Regulation is reshaping access
→ Data is becoming a product
→ Infrastructure is powering the AI era
🏢 DATA IS BECOMING A PRODUCT
Legal data company Relativity files confidentially for U.S. IPO Reuters
→ Data is being packaged into verticalized products (legal, financial, etc.) showing how proprietary datasets are becoming standalone businesses in the DaaS economy.
🔐 REGULATION IS RESHAPING ACCESS
Google fends off news publishers’ antitrust lawsuit over use of content Reuters
→ Regulation is increasingly defining how platforms can access and use external data, turning data access intro a contested legal and economic boundary within the broader data ecosystem.
🏗️ INFRASTRUCTURE IS POWERING AI ERA
Databricks launches new tools to unify data and AI workflows Reuters
→ The next phase of AI is Being built on unified data and workflow systems, where control over pipelines and orchestration determines how AI is deployed and scaled.
Oracle reworks its cloud software into AI-driven “agentic apps” Reuters
→ AI infrastructure is shifting toward integrated platforms, where software, data and orchestration layers define how AI is deployed and scaled - not just models.
Vlad Tenev and Tudor Achim on mathematical superintelligence, why math is harder than code for LLMs, and the end of buggy software.
🧠 AI is redefining reasoning itself
Vlad Tenev and Tudor Achim on mathematical superintelligence — Summation
→ The next frontier of AI isn’t code — it’s math. This conversation explores how advancing mathematical reasoning could unlock more reliable, verifiable, and ultimately superintelligent systems.
In this episode of Summation, Vlad and Tudor discuss:
• How mathematics - not code- is the true foundation of reasoning, and why training AI on formal math could unlock deeper general intelligence.
• The emergence of “mathematical superintelligence” powered by synthetic data, reinforcement learning, and systems that can recursively improve their own reasoning.
• Why verifiable AI (via formal proofs) could eliminate hallucinations and lead to more reliable, “bug-free” software and mission-critical systems.
M&A Funding Roundup
· S&P Global acquired Enertel AI (AI-powered energy market data & forecasting).
· Rogo acquired Offset (AI agents for financial workflows).
· Datavault AI acquired NYIAX (data monetization + exchange infrastructure).
· Tower raised $6.4M (seed) (to build a next-gen data pipeline platform for testing).
· Senior Data Scientist, Sentilink
· Product Manager, Data and Internal Products, Sentilink
· Director - Solutions Specialist, Moody’s
· Account Executive (Future Opportunities), G2
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