We look forward to announcing the acquisition of assets and technology from Capitalise.ai, a pioneer of Israel-based No-Code Natural Language Trading Automation.

Founded in 2015, Capitalise.ai has developed a natural language platform that transforms everyday texts into viable trading strategies. Its unique language model and big data infrastructure allow you to ingest real-time and historical data across stocks, crypto, forex, futures, options and more.

The gradual deployment of Capitalise.ai features within Kraken Pro is expected to begin later this year.

Unlocking the power of natural language trading

As the Pro platform evolved, it has become increasingly necessary to make the most of its advanced features and both technical skills and deep trading expertise. Capitalise.ai removes that barrier and enables clients from all backgrounds to design, test and automate complex strategies using simple, everyday languages.

By integrating Capitalise.ai’s technology into Kraken Pro, users will soon be able to automate sophisticated strategies across digital and traditional asset classes without writing code.

“With this acquisition, Kraken Pro clients offer powerful new ways to act on ideas in real time. They will implement and execute bespoke strategies with unprecedented speed and confidence.”

“Capitalise.ai’s technology will change the way people interact with financial data and break the barriers that have long been holding scalable and sophisticated strategies to several people. This is a huge leap in democratizing access to professional-grade trading tools.”

Coming Soon: Proven Innovations at Kraken Scale

Capitalise.ai technology has been deployed with many Tradfi brokers and engaging results and exchanges, and has proven to be one of the most attractive automation tools in the retail and institutional space.

Co-founders of Capitalise.ai – CEOs Amir Shiovich and CPO Shahar Rabin – join Kraken along with key product and engineering talents, and continue to innovate within the Kraken Pro business unit.

In its fiscal second quarter of this year, Rockwell Automation (ROK 11.80%) saw both revenue and profitability slip. Yet investors found several silver linings in the company’s earnings report posted Wednesday morning, and they rewarded the stock with an almost 12% increase in price on that day. This compared favorably to the S&P 500 index’s 0.4% bump higher.

Rewarded for resilience

The quarter saw Rockwell earn slightly over $2 billion in revenue, down from the over $2.1 billion in the same period of 2024. Headline net income followed a similar trajectory, sliding to $248 million from the year-ago profit of $265 million. On a non-GAAP (adjusted) per-share basis, the company’s bottom line was $2.45, marking a slight deterioration from $2.50 in the second quarter of 2024. 

Image source: Getty Images.

Investors reacted positively to this number anyway, not least because professionals following Rockwell stock were expecting worse. On average, they were projecting the company would post $1.96 billion for revenue, and $2.09 for adjusted earnings per share (EPS).

Another factor is that nothing out of the ordinary occurred with Rockwell to merit concern. In its earnings release, the company quoted CEO Blake Moret as saying that during the quarter, “We saw a healthy intake of orders across most of our lines of business, with total company book-to-bill in-line with our historical average of about 1.0.”

Higher profitability expected

One more plus for Rockwell is that it made an upward adjustment to its profitability guidance for the full fiscal year. It’s now expecting adjusted net income of $9.20 to $10.20 per share, well up from its previous estimate of $8.60 to $9.80. It only tweaked to its sales forecast, which should land at around $8.1 billion for the year.

This feels to me like a “steady as she goes,” stock. Also, due to its stated plan to offset the effect of tariffs with pricing and supply chain adjustments, it should be attractive as a hedge investment while the trade war grinds on.

That’s where Apify comes in – a platform designed to extract, process, and automate web data collection so developers don’t have to wrestle with blocked requests, changing site structures, or anti-bot measures.

Apify is a cloud-based platform that allows users to build, deploy, and monetize web scraping and automation tools. These tools, called Actors, handle tasks like extracting data from websites or automating repetitive actions.

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Unlike basic web scraping APIs, Apify provides an entire ecosystem where developers can create and sell their own scraping solutions.

Apify’s Tools and Features

Apify isn’t just about scraping websites, it’s also about automating web-based processes efficiently. Here’s a breakdown of its main features:

Apify Store: The Marketplace for Scrapers

Anyone who needs data but doesn’t want to code can use the Apify Store which offers ready-made Actors that scrape popular websites. You can find scrapers for e-commerce, social media, news sites, and more (just run them and get parsed data instantly).

Build Custom Actors: Your Own Data Extraction Tool

Developers who prefer full control can build their own Actors. Apify supports JavaScript, TypeScript, and Python, making it flexible for different programming preferences. It also provides templates and detailed documentation to help users get started quickly.

Apify Proxies: Avoid Getting Blocked

Scraping websites often come with anti-bot challenges. Apify integrates smart proxy rotation with data center and residential IPs, allowing scrapers to operate without triggering security measures.

Combine this with headless browsers and human-like fingerprints, and your scrapers blend into normal web traffic.

Automation Beyond Scraping

Apify can also be used to automate actions like filling out forms, sending emails, or testing websites. Its integrations with cloud services and APIs make it a tool for broader web automation beyond just data extraction.

Monitoring and Scalability

When running scrapers, keeping track of errors is crucial. Apify includes performance monitoring and sends alerts if something breaks. You can deploy and scale Actors using Git, CLI, or the web-based IDE, ensuring reliability at any workload level.

Storage and Export Options

Once data is scraped, it needs to be stored somewhere. Apify offers scalable storage for structured data, files, and URL queues. Users can export results in formats like JSON, CSV, and Excel, making it easy to integrate with other tools.

How to Make Money With Apify

For developers looking to monetize their skills, Apify offers a way to turn web scraping into passive income. Here’s how:

• Create an Apify Account. Sign up for free and access the platform.
• Develop an Actor. Build a scraper or automation tool that solves a real-world problem.
• Submit for Monetization. In the Apify Console, go to the Monetization tab and choose a pricing model (free or paid rental).
• Start Earning. Once approved, your Actor will be available in the Apify Store.

Then, those who don’t want to develop will just buy Actors from you. You’ll receive monthly payouts based on user subscriptions.

Pricing Plans: What Does Apify Cost?

Apify offers different pricing tiers depending on user needs:

Table: Apify pricing plans

If you subscribe to these plans with a yearly billing, you’ll get a 10% discount. Also, enterprises can contact Apify for custom pricing.

So, Who is Apify For?

Apify will come in handy for a variety of users. This includes developers who want to build web scrapers and automation tools, as well as businesses that rely on data extraction for competitive analysis, pricing intelligence, or lead generation. Also, it might be a good tool for marketers tracking mentions, social trends, or content scraping and e-commerce operators who need to monitor competitor prices, product availability, or customer reviews.

Apify simplifies the process of extracting and automating web data, making it accessible for both developers and non-technical users. Whether you need a pre-built scraper, want to build your own, or even monetize your work, the platform offers the tools to get started.

The convergence of Ethereum and artificial intelligence (AI) is creating exciting opportunities for businesses looking to automate processes through smart contracts. This blog explores how AI can enhance the functionality of smart contracts on the Ethereum blockchain, providing insights into their potential applications, benefits, and future trends.

Understanding Smart Contracts

Smart contracts are self-executing agreements with the terms of the contract directly written into code. They operate on the Ethereum blockchain, allowing for automated transactions without the need for intermediaries. When predefined conditions are met, smart contracts automatically execute actions, ensuring trust and transparency in transactions. This automation reduces the risk of human error and fraud, making transactions more reliable.

Smart contracts are stored on the blockchain, which is a decentralized ledger that records all transactions across a network of computers. This decentralization ensures that no single entity has control over the contract, enhancing security and reducing the risk of manipulation. Each transaction is immutable, meaning once it is recorded on the blockchain, it cannot be altered or deleted. This feature is particularly important for maintaining a transparent record of agreements.

Limitations of Traditional Smart Contracts

While traditional smart contracts are secure and efficient, they are limited by their inability to adapt to changing circumstances. They rely on pre-programmed rules and lack the capacity for real-time data analysis or decision-making based on dynamic inputs. For instance, if market conditions change unexpectedly or if external data sources provide new information, traditional smart contracts may not be able to respond appropriately.

Moreover, traditional smart contracts often require manual intervention for updates or modifications. This inflexibility can lead to inefficiencies in industries where conditions frequently change, such as finance or logistics. The inability to incorporate real-time data can result in missed opportunities or suboptimal decision-making.

The Role of AI in Smart Contracts

AI-powered smart contracts combine the security of blockchain with the analytical capabilities of AI. By integrating machine learning algorithms, these contracts can analyze vast amounts of data, make predictions, and adapt their behavior based on real-time information. This advancement allows for more intelligent decision-making processes within decentralized applications (dApps).

The integration of AI into smart contracts enables them to learn from historical data and improve their performance over time. For example, an AI algorithm could analyze past transaction data to identify patterns that inform future contract executions. This capability not only enhances efficiency but also reduces operational costs by minimizing manual oversight.

Key Features of AI-Powered Smart Contracts

1. Automated Decision-Making: AI algorithms can evaluate data and execute transactions based on predictive analytics. For example, an AI-enhanced smart contract could assess market conditions to determine the optimal timing for executing trades in decentralized finance (DeFi) applications. By continuously monitoring relevant data points — such as price fluctuations, trading volumes, and market sentiment — the contract can make informed decisions without human intervention.

2. Dynamic Adaptability: Unlike traditional smart contracts that follow fixed rules, AI-powered contracts can adjust their operations based on new information or changing conditions. This flexibility enhances their effectiveness in various applications, from supply chain management to financial services. For instance, a smart contract governing a supply chain could automatically reorder inventory when stock levels drop below a certain threshold while considering lead times and supplier performance metrics.

3. Enhanced Security: The integration of AI can improve the security of smart contracts by identifying potential vulnerabilities and mitigating risks before they can be exploited. AI algorithms can analyze transaction patterns to detect anomalies that may indicate fraudulent activity or security breaches. By proactively addressing these issues, businesses can protect their assets and maintain trust with stakeholders.

Applications of AI-Enhanced Smart Contracts

The integration of AI into Ethereum-based smart contracts opens up a range of applications across various industries:

1. Financial Services: In DeFi platforms, AI can analyze market trends and user behavior to optimize trading strategies, manage risks, and automate lending processes. For instance, a smart contract could automatically adjust interest rates based on market fluctuations while considering borrower credit scores derived from historical data analysis.

Furthermore, automated compliance checks can be integrated into these financial services through AI algorithms that monitor regulatory changes in real-time. By ensuring adherence to legal requirements without manual oversight, businesses can reduce compliance costs and minimize risks associated with regulatory violations.

2. Supply Chain Management: AI-powered smart contracts can track goods in real-time, ensuring transparency and efficiency throughout the supply chain. By analyzing data from IoT devices — such as GPS trackers and RFID tags — these contracts can trigger actions like reordering stock or notifying stakeholders about delays.

Additionally, predictive analytics powered by AI can forecast demand fluctuations based on historical sales data and market trends. This capability allows businesses to optimize inventory levels and reduce waste while ensuring timely deliveries.

3. Intellectual Property Management: The combination of AI and blockchain can streamline intellectual property rights management by automating licensing agreements and ensuring proper attribution through immutable records. This capability is particularly valuable in creative industries where ownership disputes are common.

For example, an artist could use an AI-enhanced smart contract to automatically license their work whenever it is used commercially while receiving real-time royalty payments based on usage metrics tracked by the contract.

4. Healthcare: In healthcare, AI-enhanced smart contracts can facilitate secure sharing of patient data while maintaining privacy. They can automate billing processes by verifying that all necessary conditions are met before executing transactions.

Moreover, these contracts could ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) by incorporating checks that verify patient consent before sharing sensitive information with third parties.

Challenges and Considerations

While the potential benefits of integrating AI with Ethereum smart contracts are significant, several challenges must be addressed:

1. Complexity: Developing AI-powered smart contracts requires expertise in both blockchain technology and machine learning. Businesses may need to invest in specialized talent or partner with development firms to leverage these capabilities effectively.

Furthermore, integrating existing systems with new technologies poses its own challenges. Companies must ensure compatibility between legacy systems and emerging solutions while managing potential disruptions during implementation.

2. Data Privacy: Ensuring data privacy while utilizing AI algorithms poses challenges, especially in sectors like healthcare where sensitive information is involved. Striking a balance between transparency and confidentiality is crucial.

Businesses must implement robust encryption methods and access controls to protect sensitive data while still allowing authorized parties access for legitimate purposes. Additionally, organizations should consider anonymizing data used for training AI models to further mitigate privacy risks.

3. Regulatory Compliance: As with any emerging technology, regulatory frameworks surrounding AI and blockchain are still evolving. Businesses must stay informed about legal requirements to avoid potential pitfalls when deploying these technologies.

Engaging legal experts familiar with both blockchain technology and relevant regulations will help businesses navigate this complex landscape effectively.

Future Trends

The future of Ethereum and AI integration looks promising as advancements continue to unfold:

1. Increased Adoption: As businesses recognize the advantages of AI-powered smart contracts, adoption rates are likely to rise across various sectors. This trend will drive innovation and lead to new use cases that have yet to be explored.

Organizations that adopt these technologies early may gain a competitive edge by improving operational efficiency and delivering enhanced customer experiences through automation.

2. Interoperability: Future developments may focus on enhancing interoperability between different blockchains and AI systems, allowing for more seamless integration across platforms. This capability will enable businesses to leverage multiple technologies effectively without being constrained by platform-specific limitations.

As interoperability improves, we may see an increase in cross-chain applications that utilize multiple blockchains simultaneously for different functions — such as using one blockchain for identity verification while executing transactions on another blockchain dedicated to financial services.

3. Decentralized Autonomous Organizations (DAOs): The rise of DAOs will further emphasize the need for intelligent decision-making within decentralized ecosystems. AI-powered smart contracts will play a crucial role in automating governance processes within these organizations.

By utilizing machine learning algorithms to analyze voting patterns and stakeholder engagement metrics over time, DAOs can enhance their decision-making processes while minimizing biases inherent in human governance structures.

Conclusion

The intersection of Ethereum and artificial intelligence presents a wealth of opportunities for businesses seeking to automate processes through smart contracts. By harnessing the power of AI, companies can enhance decision-making capabilities, improve efficiency, reduce operational costs, and drive innovation across various industries.

If your business is looking to explore Ethereum development services that incorporate AI-enhanced smart contracts, consider partnering with experts like Codezeros. Their team can help you navigate this evolving landscape and implement solutions tailored to your needs.

This expanded blog provides a more comprehensive overview while remaining accessible to businesses interested in Ethereum development services. With additional details included throughout each section, it highlights both opportunities and challenges associated with integrating AI into smart contracts on the Ethereum platform while maintaining clarity and professionalism.