New York, USA

US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models.

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of its international data labeling services for companies developing AI products, automation systems, neural networks and industry-specific machine learning models.

As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA focuses on this critical layer of AI development: transforming raw, unstructured data into accurate, consistent and model-ready datasets.

The company provides a full data preparation cycle — from source data collection and structuring to annotation, quality control and delivery in the required training format. Its services cover image annotation, video annotation, text annotation, NLP labeling, classification, segmentation, bounding boxes, polygons, cuboids and other annotation formats used in modern computer vision and machine learning workflows.

“AI models do not become accurate by themselves. Behind every reliable model, there is a carefully prepared dataset,” said a US-DATA representative. “Our role is to make sure that companies receive clean, consistent and production-ready training data, so their machine learning teams can focus on model development instead of fixing annotation errors.”

Data Annotation Built for Real AI Workflows

US-DATA works with companies that need scalable and reliable AI data labeling services for practical business tasks. The team combines experienced annotators with machine learning specialists, which allows the company to approach annotation not as a mechanical task, but as an essential part of the model training pipeline.

The company’s workflow includes:

• data collection and preparation;
• annotation guideline development;
• manual and assisted data labeling;
• multi-step quality assurance;
• consistency checks;
• dataset export in machine learning formats;
• delivery of model-ready data for training and testing.

US-DATA supports formats commonly used in AI development, including COCO, YOLO, CVAT and other project-specific formats. This helps clients reduce additional preprocessing work and integrate datasets directly into their existing ML pipelines.

Case Experience Across Computer Vision, NLP and Industry-Specific AI

US-DATA has experience with projects involving different types of data, including images, video, audio and text. The company’s work is especially relevant for industries where AI models need to interpret visual or textual information with high precision.

Typical use cases include:

Real estate AI and visual property assessment
US-DATA has worked on large-scale image annotation tasks for real estate and proptech projects, where AI models need to evaluate property photos, identify visual features, classify interior conditions and improve automated decision-making based on image data.

Computer vision for object detection and segmentation
The company provides annotation for object detection, segmentation, polygons, bounding boxes and complex labeling tasks. These datasets can be used for models in retail, logistics, construction, smart city systems, security, manufacturing and other industries.

NLP and text annotation
US-DATA also supports text classification, tagging and NLP annotation projects for companies developing language models, search systems, recommendation engines, moderation tools and automation products.

Video and audio annotation
For projects that require time-based data labeling, US-DATA works with video and audio materials, helping teams prepare structured datasets for recognition, classification and behavioral analysis tasks.

Why Data Quality Matters for AI Performance

Many AI projects fail not because of weak algorithms, but because of poor-quality training data. Inconsistent labels, unclear guidelines, missing objects, incorrect categories and low-quality dataset structure can reduce model accuracy and increase development costs.

US-DATA addresses this problem through a quality-first annotation process. Each project is adapted to the client’s technical requirements, dataset structure and business goal. Instead of using a one-size-fits-all approach, the company builds annotation logic around the model’s intended use.

This approach is especially important for companies working with:

• computer vision models;
• machine learning automation;
• AI-powered analytics;
• visual recognition systems;
• dataset preparation for neural networks;
• NLP and text processing;
• image, video and audio classification.

Online Tools and Transparent Project Management

In addition to annotation services, US-DATA offers tools for working with datasets and annotation formats. The company’s website includes an online cost calculator where clients can estimate annotation costs by selecting project parameters such as annotation type, number of images, number of classes and complexity level.

US-DATA also provides a client cabinet for managing annotation tasks, requesting estimates and tracking project progress. This helps reduce unnecessary communication and gives clients a clearer view of the annotation workflow.

About US-DATA

US-DATA is a data annotation company helping businesses prepare high-quality datasets for machine learning, computer vision, NLP and AI projects. The company works with images, video, audio and text, providing services such as bounding box annotation, segmentation, polygons, classification, tagging, NLP annotation and dataset preparation.

US-DATA combines expert annotators, machine learning specialists, its own annotation platform and multi-level quality control to deliver structured datasets ready for AI model training.

Media Contact

US-DATA

Email: [email protected]

Website: https://usdataml.com/en/

Chicago, Illinois

Virtual Assets, Inc. d/b/a Crypto Dispensers today announced the promotion of Vladimir Serna to Chief Operating Officer as the company continues scaling Bitcoin POP™, its software-driven retail cash deposit infrastructure designed to give cash-dependent users a modern alternative to traditional Bitcoin ATMs.

Through Bitcoin POP™, customers generate a barcode directly inside their Crypto Dispensers account, visit a participating retail checkout location, and add cash to their Crypto Dispensers balance by presenting the barcode to the cashier along with the amount of cash they wish to load. Once funds become available and required verification steps are complete, customers may use their balance to purchase Bitcoin directly through the platform.

The announcement comes during a major transition period for the broader Bitcoin ATM industry as operators across the sector face increasing scrutiny from state regulators, consumer protection agencies, financial institutions, and law enforcement surrounding fraud prevention, transaction monitoring, licensing requirements, and compliance obligations tied to cash-to-cryptocurrency activity.

The industry has experienced significant instability in recent years, including the collapse of Coin Cloud, enforcement actions involving Bitcoin of America, and most recently the bankruptcy filing of Bitcoin Depot, previously the largest Bitcoin ATM operator in North America.

Crypto Dispensers says these developments reinforced a belief the company began forming years ago: that the long-term future of cash-to-Bitcoin access would eventually move away from loosely monitored standalone kiosk infrastructure and toward more integrated systems combining traditional financial controls with modern Bitcoin access.

“We believed the industry would eventually evolve beyond the earlier Bitcoin ATM model,” said Firas Isa, founder of Crypto Dispensers. “Not because people stopped wanting Bitcoin, and not because cash users disappeared, but because the infrastructure itself needed to mature.”

Instead of continuing to focus primarily on physical Bitcoin kiosks, Crypto Dispensers says it made the strategic decision years ago to begin investing heavily into Bitcoin POP™ and retail cash deposit infrastructure built around customer accounts, software systems, transaction monitoring, retail integrations, and direct wallet delivery.

The company says one of the biggest differences between Bitcoin POP™ and many earlier-generation Bitcoin ATM models is that the retail cash deposit infrastructure operates within a more traditional financial framework that includes transaction limits, account verification requirements, monitoring systems, and oversight controls imposed by regulated financial institutions participating in the retail cash-loading process.

Current limits allow customers to add up to $500 per transaction, $1,500 per day, $3,500 per week, and $5,000 per month through the retail cash deposit system.

Crypto Dispensers says those controls represented an intentional departure from parts of the earlier Bitcoin ATM industry, where some operators historically allowed significantly larger daily transaction activity through standalone kiosk infrastructure.

“We realized early on that the future was going to require merging traditional financial infrastructure with Bitcoin access,” Isa said. “That meant accepting slower growth, stricter controls, transaction limits, monitoring systems, onboarding requirements, and building around long-term sustainability instead of short-term volume.”

The company says that decision fundamentally changed how Crypto Dispensers approached the business.

“We were not interested in building infrastructure dependent on one-time high-risk transactions,” Isa added. “We wanted to build a real product for legitimate everyday users who rely on cash and still deserve access to Bitcoin in a way that is structured, scalable, and sustainable long term.”

Crypto Dispensers says Bitcoin POP™ was designed specifically for cash-dependent users who may not have access to traditional banking products or who continue relying heavily on cash as part of their everyday financial lives.

The company says the platform preserves many of the features users valued most about Bitcoin ATMs, including convenience, speed, nationwide accessibility, and the ability to use cash, while eliminating much of the physical hardware infrastructure traditionally associated with large kiosk networks.

“A lot of the earlier Bitcoin ATM industry operated during what was effectively the Wild West period of crypto,” Isa said. “As the industry matured, expectations around consumer protection, compliance infrastructure, transaction monitoring, and operational controls matured with it. We believed the companies willing to evolve early would ultimately be the ones still standing long term.”

Crypto Dispensers says the company’s nearly decade-long operating history reflects that long-term approach as the broader Bitcoin ATM industry continues consolidating under increasing regulatory and operational pressure.

The company also says it believes direct ownership remains one of Bitcoin’s most important principles.

“A growing number of users want Bitcoin they actually control,” Isa added. “They want the ability to buy Bitcoin and send it directly to a wallet they own themselves instead of leaving it indefinitely inside custodial platforms. We think that matters.”

As Chief Operating Officer, Serna will oversee the continued expansion of Crypto Dispensers’ operational infrastructure, customer support systems, retail cash deposit growth initiatives, and payment operations as the company continues scaling Bitcoin POP™ nationwide.

“Vladimir has played a major role in helping us build the operational foundation behind this transition,” Isa said. “He understands the customer side, the operational side, and the infrastructure side of the business, and he has been instrumental in helping us scale responsibly while maintaining a strong focus on user experience.”

Serna originally joined Crypto Dispensers in customer support before taking on broader operational leadership responsibilities across payment systems, growth initiatives, support operations, and infrastructure development.

Crypto Dispensers currently supports multiple payment methods including in-store cash deposits, debit card purchases, ACH transfers, wire transfers, and crypto exchange services through its partner ecosystem.

About Crypto Dispensers

Crypto Dispensers is a cryptocurrency platform operated by Virtual Assets, Inc., focused on helping users buy Bitcoin through multiple payment methods including in-store cash deposits, debit card, ACH transfer, wire transfer, and other modern payment rails. The company emphasizes direct wallet delivery, customer support, and modern infrastructure designed to improve Bitcoin accessibility for everyday users.

Media Contact:

[email protected]

https://cryptodispensers.com

Important Disclosures:

Retail cash-loading services are provided separately by participating financial service providers. Cryptocurrency services are provided separately by Crypto Dispensers and its partners. Retailers do not sell Bitcoin or provide cryptocurrency services. Funds are typically available within minutes after the retail cash-loading transaction is completed, subject to verification and account review requirements.

Las Vegas, NV

Brian Ferdinand has been named a recipient of the 2026 International Quantitative Strategy Leadership Award, recognizing his contributions to systematic trading, risk-managed portfolio design, and data-driven investment execution across global financial markets.

The award is presented annually by the International Council for Quantitative Finance and honors professionals who demonstrate measurable consistency in algorithmic trading, portfolio optimization, and adaptive market strategy development. Recipients are evaluated on analytical discipline, innovation in quantitative methodologies, and long-term risk-adjusted performance.

Ferdinand was recognized for maintaining a structured investment framework centered on capital preservation, statistical modeling, and scalable trading systems designed to operate across changing market conditions.

“In trading, sustainability matters more than short-term momentum,” Ferdinand said. “A strong process allows you to remain disciplined regardless of market cycles.”

According to the council, the selection process includes a review of portfolio methodology, systematic execution practices, and peer analysis from institutional finance professionals and quantitative researchers.

As institutional markets continue shifting toward automation and advanced analytics, awards such as the International Quantitative Strategy Leadership Award reflect the growing importance of disciplined infrastructure, repeatable systems, and risk-conscious investment management within modern trading environments.

About Brian Ferdinand Portfolio Manager & Trader, EverForward:

Brian Ferdinand is a Portfolio Manager and Trader at EverForward, where he is responsible for portfolio construction, active trading, and firm-wide capital deployment. He leads EverForward’s trading operations with a disciplined focus on execution quality, structured risk management, and consistent performance across varying market environments.

His work centers on identifying asymmetric opportunities, managing drawdowns, and enforcing strict risk parameters while adapting dynamically to evolving market conditions. EverForward operates with a performance-driven mindset, prioritizing clarity of strategy, capital preservation, and scalable trading frameworks.

Brian plays a central role in shaping EverForward’s trading philosophy, ensuring that decision-making remains data-driven, accountable, and aligned with long-term objectives.

He is also a newly selected member of the Forbes Business Council, a prestigious, invitation-only community of senior exe cutives and business leaders. You can review his published insights and contributions here:

About EverForward: 

EverForward is a trading firm focused on portfolio construction, active trading, and execution across liquid global markets. The firm emphasizes clarity of strategy and scalable trading frameworks designed for consistent performance.