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Delightree, a company that develops an artificial intelligence-based operating system for industries with multiple points of sale (such as franchises), has raised $25 million in funding. These funds will be used to accelerate the growth of the company's team in engineering, product development, and general operations.

The investment round was led by Accel, with support from existing investors Emergent, Timber Grove Ventures, and Innovius. The Denver-based company plans to use the new capital influx to expand its AI platform and enter new vertical markets, including restaurants, fitness, wellness, retail, healthcare, and home services.

The Delightree platform integrates processes such as training, compliance, communication, audits, and new location launches. This ensures greater consistency between the central team's work across all on-site operations and uniform execution of tasks throughout the network of businesses.

Franchise businesses are actively implementing artificial intelligence to assist in various aspects of their operations, many of which rely on it to consolidate disparate processes such as training, communication, compliance, and reporting.

Since its launch just over two years ago, the Delightree platform has demonstrated rapid demand growth globally. The company reported that revenue has increased nearly twentyfold during this period, indicating a high level of product adoption by customers and overall growth.

Currently, the company's software is used in over 6,000 locations across the United States. Delightree's clients include solidcore, Dunn Brothers Coffee, JETSET, Five Star Franchising, MOOYAH Burgers, and Beem Light Sauna.

The platform replaces numerous individual systems with a single operational layer. Businesses use it to manage employee training, operational standards, communications, checks, regulatory compliance, and new site openings.

Delightree will continue to strengthen its capabilities in artificial intelligence for business automation platforms and operational management on a global scale. Future AI assistants will be able to automatically identify issues, assign tasks, track progress, and suggest improvements in operations everywhere.

The new funding will support further investments in product innovation and artificial intelligence. Delightree intends to develop new features that reduce operational complexity for growing franchise businesses. The company believes that AI can help operators open new locations faster while reducing administrative burden.

According to Delightree, clients using the platform can open locations two to three months earlier than when using traditional methods, meaning a reduction in launch times of more than 25%. Furthermore, businesses report that on-site employees free up up to 30% of their working time thanks to workflow automation and centralized operations.

Co-founder Madhulika Mukherji stated that the company's long-term goal is to provide small franchise operators access to complex operational technologies that were previously only available to large corporate chains.

The company sees significant growth opportunities in industries where millions of people work on-site. Its platform is designed to simplify the management of multi-branch businesses while increasing operational transparency.

Delightree is convinced that artificial intelligence can transform growth without the need to add additional layers of management in distributed companies. Artificial intelligence automates back-office operations while maintaining uniformity of operational standards across all business locations.

Delightree aims to strengthen partnerships with franchise brands striving for standardized operations in fast-growing global networks. The platform combines AI-based automation with workflows, significantly reducing management complexity and improving location consistency.

The company plans to use the funds to add AI-powered operational analytics for franchise owners, managers, and on-site employees. Delightree's goal is to become the operating system for multi-location enterprises implementing faster, smarter, and more efficient automation methods globally.

Criminals managed to withdraw approximately $130 million in cryptocurrencies from holders of the Coldcard physical wallet, manufactured by Coinkite. This theft occurred after hackers exploited a flaw in the device's recovery phrase generation mechanism.

The incident was detected by several blockchain security companies that monitor transactions. The attack, which came to light on Tuesday (04), affected people who used wallets considered extremely secure for storing Bitcoin, since these remain isolated from internet connection.

Investigators indicate that the intruders were able to recreate the private keys without needing physical access to the devices. The analysis points out that multiple groups may be involved in these intrusions, taking advantage of an existing vulnerability in the code used to create the recovery keys. This discovery allowed the intruders to calculate possible combinations and consequently transfer the assets stored in the compromised wallets.

The Coldcard functions as a hardware wallet designed to keep the user's secret key away from the network. In this model, although Bitcoins remain registered on the blockchain, access to the funds depends on a recovery key stored on the device itself. This system is classified as a 'cold' wallet, as opposed to 'hot' wallets, which are connected to the network via apps, browser extensions, or cryptocurrency trading platforms.

According to Galaxy Research, it is estimated that at least 12 distinct attackers are targeting users of these devices. The company reported that the total accumulated damage reached about $130 million, a figure that Tom Robinson, co-founder and chief scientist at Elliptic, considers close to reality.

This event is notable because the main guarantee of a physical wallet is precisely to provide an extra layer of protection. Users who kept their keys offline and followed rigorous security protocols were victimized because the problem resided in the initial phase of creating these keys.

Block researchers identified that the flaw was linked to the method used to generate these keys in certain versions of the equipment. Thus, criminals did not need to hack the devices or obtain protected information; they simply replicated the key creation process.

Jonathan Goodman, a user who reported losing $1.6 million, described the situation as unacceptable, given that all security recommendations had been followed. In a post on the social network X, he clarified that he never shared his key and kept the devices disconnected from the internet. According to Goodman, the implemented safeguards did not prevent the loss because the origin of the problem was in the code responsible for generating the recovery keys.

Coinkite, the manufacturer of the Coldcard, issued a warning about the issue and advised customers to update their devices. The company also suggested that affected users move their funds to a new key.

Tech giants, including Microsoft, Meta, Amazon, Alphabet, and Oracle, have signed future commitments totaling about US$ 1.09 trillion, which is equivalent to approximately R$ 5.6 trillion. These agreements aim to expand infrastructures dedicated to the development of artificial intelligence.

These contracts are mainly focused on acquiring capacity in data centers, which are the essential facilities for processing and storing data used in digital services. It is important to note that these amounts are not yet fully reflected as liabilities in the corporations' financial reports, since the contracted centers are not yet operational.

This movement demonstrates the significant investment by the largest global technology companies in the AI sector, but it also points to a potential risk: if the demand for these services does not grow as expected, the companies may be forced to honor long-term contracts with high costs.

Billion-Dollar Commitments Expand Infrastructure, But Create New Financial Challenges

The commitments made by these five companies represent a considerable share of the resources allocated to sustaining the advancement of artificial intelligence. Data provided by Reuters, based on corporate documents, indicates that this future amount is almost four times greater than the approximately US$ 285 billion already recorded in lease contracts in the companies' financial statements.

The disparity between the contracted values and the formally recognized debts is due to accounting standards. When a structure is not yet ready or available for use, the obligation is generally mentioned only in the explanatory notes of the balance sheets, without being accounted for as debt at that time.

The scenario does not imply that the entire US$ 1.09 trillion will be added directly to the debt. The contracts provide for payments spread over several years, while registered debt uses financial criteria to calculate the equivalent value of these obligations in the present.

Oracle stands out as the company with the largest proportional exposure among those analyzed. The company declared US$ 260 billion in future contracts, mainly focused on data centers that are expected to begin operating between the fiscal years 2027 and 2029, with a term of 15 to 19 years.

Oracle warned about the possibility of misalignment between the contracts made to build or use these processing centers and existing agreements with its own clients. If part of the expected demand does not materialize, Oracle may remain responsible for the costs of these structures.

According to Reuters estimates, Oracle's debt was equivalent to approximately 4.4 times its EBITDA until the end of May. Considering the lease contracts already recognized on the balance sheet, this ratio would increase to about 5.7 times.

S&P Global Ratings also takes into account the company's future commitments. This institution confirmed having included the US$ 260 billion in Oracle's contracts in its debt analysis and predicts that the indicator will remain close to 4.4 times EBITDA in the 2027 fiscal year.

Among the other companies, Microsoft presents the largest absolute volume of future contracts, totaling US$ 329 billion, compared to US$ 88.5 billion recorded in its balance sheet. Meta announced commitments of US$ 279 billion that have not yet started and added another US$ 68 billion in July to expand its data center network, bringing the total commitments of the five companies to about US$ 1.16 trillion.

Alphabet has declared future contracts worth US$ 85.2 billion, and Amazon reported US$ 137.2 billion. For the e-commerce and cloud computing company, this amount covers not only data processing facilities but also other contracts related to real estate, aircraft, offices, and vehicles.