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Esma Starts Data Collection For EU Single Access Point

by THEFUTURE.TEAM

July 14, 2026

The European Securities and Markets Authority (Esma) has begun collecting data from national authorities and officially appointed mechanisms, marking the first major implementation step for the European Single Access Point (Esap).

The initiative will create a single digital platform for corporate and financial information across the European Union, allowing investors and the public to access key disclosures through one central portal instead of multiple national systems.

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A Central Hub For Corporate Data

Once fully operational, Esap will provide free access to a broad range of financial and sustainability-related information on companies and their products.

Investors, analysts and other market participants will be able to access and compare corporate disclosures more easily across the EU through a single platform.

Building The Platform Ahead Of Launch

Over the next 12 months, Esma will focus on building the platform’s data repository ahead of its planned public launch in July 2027.

During this phase, national authorities will submit both information and metadata, creating the foundation for the EU-wide database.

The First Data To Be Added

Initial disclosures will cover requirements under the Transparency Directive, the Prospectus Regulation and the Short Selling Regulation.

These include periodic financial reports, prospectuses for public securities offerings and disclosures related to short positions. Coverage is expected to expand over time as additional EU legislation is incorporated.

Supporting More Transparent Capital Markets

By bringing together information currently spread across national databases, Esap is expected to make corporate disclosures easier to access while strengthening transparency across European capital markets.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.