Hyperscience Unveils Latest Version of the Hyperscience Hypercell, Designed to Meet the Emerging Requirements of Today’s Enterprise

CIO Review

Hypercell supports Hyperscience R39 release, which includes breakthrough model lifecycle management, accelerated automation for highly complex documents, and advanced decisioning capabilities

Comprehensive platform delivers on the promise of hyperautomation at scale, with unparalleled accuracy and automation rates in challenging, complex, and regulated environments

New York, NY – Hyperscience, a market leader in hyperautomation, today announced the Hyperscience Hypercell, an all-in-one enterprise AI infrastructure software platform designed to accelerate transformational AI initiatives at scale in a variety of enterprise settings where security, compliance, and infrastructure requirements are top priorities. Hyperscience also announced improvements to Hyperscience R39, including updated proprietary ML models, applications, and automation workflows. The combination of Hyperscience Hypercell with R39 delivers unmatched accuracy and automation across the entire spectrum of documents and information assets that organizations rely on to run their business, in the most difficult and challenging enterprise environments.

“All transformational technologies, including AI, struggle in their adoption into the enterprise, because of unique legal, security, compliance, and data handling requirements,” said Andrew Joiner, CEO of Hyperscience. “The latest release of the Hyperscience Hypercell meets those standards, and removes barriers to bring the benefits of AI into the core of the enterprise. Combined with the latest release of Hyperscience R39, customers can now choose one platform for AI to meet their most complex document automation needs, and achieve tangible ROI compared to existing legacy approaches.”

Organizations across the globe recognize the potential for transforming their business with AI. However, these organizations are experiencing significant challenges, since enormous general purpose LLMs haven’t delivered the requirements unique to enterprises such as security, data trustworthiness, compliance, and transparency, and running AI at scale can be a complex, high-risk undertaking.

Businesses and governments are reluctant to serve up their unique proprietary data and assets to train LLMs, since doing so can generate huge costs and incur competitive, privacy, security, and compliance risk. Organizations cannot afford the reputational and business risk associated with hallucinations and inaccuracies – for instance filling a patient’s prescription incorrectly, or misinterpreting language and meaning in the insurance claim of a VIP customer. Also, given the velocity of innovation in AI, model lifecycle management and training data management systems struggle to keep pace, and maintain auditability, traceability, and governance of their models.

Hyperscience Hypercell – Turnkey AI Infrastructure Software Designed for the Enterprise

Hyperscience meets the highest enterprise standards with the Hyperscience Hypercell, delivered through a turnkey AI infrastructure software approach. The Hyperscience Hypercell was purpose-built to address the stringent accountability, data security, compliance, legal, regulatory, and privacy concerns that are top of mind when applying AI for business use cases.

Designed to run in all environments – on-premises, hybrid cloud, SaaS, and air-gapped environments – the Hypercell provides customers with flexibility to run their AI initiatives in the manner that best fits their needs. Also, the Hypercell infrastructure provides the governance and security required for customers to run proprietary models, as well as open source and Frontier models, all from one turnkey platform. The platform allows customers to privately train models with their own enterprise ground truth data and includes an easy-to-use interface that enables business users to supervise results based on their own domain expertise.

Hyperscience R39 – Driving a Fundamental Shift in Document-Centric Automation

Hyperscience R39 is the latest version of the Hyperscience software offering, and provides a comprehensive collection of proprietary models, applications, and automation flows. Built on proven AI, the software uniquely understands content in a wide spectrum of documents. This allows organizations to process and act on the data assets spread across their organization, with human-level accuracy rates of 99.5%.

Models – deliver intelligent extraction, classification, understanding, comparison, and summarization of all variations of data, from highly structured to unstructured, human-friendly content.

Applications – provide a low-code / no-code approach to operating the system, with no data scientist or developers needed, so business users can train, QA and supervise the process with intuition and ease. The Hypercell also includes co-pilot capabilities that provide users with an easy experience for building applications on the platform.

Automation Flows – allow customers to define their end-to-end automation approach, with out-of-the-box (OOTB) blocks and configurable code blocks with LLM innovations that stitch together model capabilities.

Model Lifecycle Management at Scale

Hyperscience has deepened its model lifecycle capabilities in R39, enabling organizations to orchestrate, upgrade, and manage models more efficiently and with stronger governance, resulting in faster time to value and lower total cost of ownership. Updates include:

Incremental training – allows customers to leverage existing investments in models when updating and fine-tuning ML models. Customers can simply re-train existing models with new data only, allowing them to decrease model training time by up to 50 percent.

Training Data Management for Classification models – enables customers to preview, list, edit, and manage training documents used to train their models for both classification and identification all in one easy-to-use interface, saving customers time in putting models into production.

Automated upgrade management – provides automated checks and notifications for prerequisites to address before upgrading Hyperscience software. These capabilities are especially important in AI, given that upgrading AI models can be complex and producing an incorrect model can have costly downstream impact.

Trainer resiliency – ensures that in the event of a model training interruption, the training does not have to revert back to the very start of the process, but can resume from the point just before the interruption.

Audit log enrichment – R39 also provides audit log enrichment, which traces user events and processes metadata from across the platform.

Enterprise-Class Hyperautomation

Hyperscience also continues to extend its enterprise class hyperautomation capabilities in the R39 release, with more tools for developers, storage APIs, and expanded Chinese language support.

Free form text fields in custom supervision – flow developers can now add freeform data through the Custom Supervision interface, resulting in richer contextual understanding throughout end-to-end automation processes.

Multiple tables automation – customers can easily identify and extract data from multiple, independent tables within a single document, such as invoices, billing statements, specification sheets, and contracts. These improvements build on best-in-class capabilities from Hyperscience for processing complex data and tables, and allows business users to build workflows to automate and review extractions from multiple tables at scale.

Language improvements – organizations can now process all types of documents, from structured to unstructured, human-friendly content, in Chinese. These capabilities are valuable for international organizations requiring understanding and processing of Chinese content.

Amazon Simple Storage Service S3 connector – provides out-of-the-box integration with Amazon S3, so customers can integrate and configure the right storage directly from the Hyperscience platform user interface.

Hyperscience will host a webinar on April 11, 2024 at 11:00 am ET to provide an overview and demo of the Hyperscience Hypercell and the Hyperscience R39 release, and Q&A. Click here to register.

More in News

Driving Operational Excellence with a Microsoft Solutions Partner for Dynamics 365 Business Central

Modern organizations operate in an environment where every department depends on accurate information and connected processes to maintain efficiency. As businesses grow, finance operations, inventory, customer service and project management become increasingly interconnected. Disconnected systems often create delays, increase manual work and reduce visibility across the organization. Digital transformation has therefore become an essential business strategy rather than simply a technology upgrade. It creates a stronger operational foundation that supports consistent performance and sustainable growth. Many organizations adopt enterprise resource planning platforms to improve coordination and decision-making. The value of these platforms depends on proper implementation, customization and long-term support. Working with a Microsoft solutions partner for Dynamics 365 Business Central enables organizations to align technology with operational priorities while creating a connected environment that supports every department. Instead of adjusting business processes to fit isolated systems, organizations can establish workflows that improve efficiency while remaining flexible enough to support future growth. Building Connected Business Operations The first key to operational excellence is good communication between departments. Sales forecast and production information are important for inventory managers, and purchase data is important for the finance team. Customer service staff also require instant access to order and delivery details. If information is not centralised employees waste precious time in their efforts to look for information rather than doing their work. The centralized enterprise platform will provide a unified environment for key enterprise functions. Staff use common data that is consistent across departments. This will minimize duplicate records, create accountability and provide managers with accurate business information to inform decision-making. Integrating the software is not enough to be successful. Each organization has different authorization procedures, reporting requirements, operating systems and compliance needs. A well-designed implementation will take the platform to meet the existing business goals rather than forcing the staff to work in unfamiliar ways. This will help to ensure a more seamless transition and maintain continuity of operations. In addition to enhancing operational performance, automation diminishes repetitive manual tasks. Structured workflows can speed up the approvals for invoice processing, inventory updates and financial reconciliation with minimal manual effort. Staff have more time to concentrate on planning customer relationships and ongoing enhancement. Centralized reporting also provides greater visibility throughout the organization. Integrated dashboards provide managers with an overview of financial performance, inventory activity, purchasing operations and business trends. Quick access to meaningful information enables informed decision-making and helps the organization to react better in the changing business environment. Supporting Sustainable Growth Business growth introduces new operational demands beyond increasing sales. Organizations may expand into additional locations, introduce new services or manage larger supplier relationships. These developments require stronger coordination across finance operations, procurement and customer management. Scalable business systems provide the flexibility needed to support these changes without disrupting existing processes. Workflows can evolve alongside organizational priorities while maintaining consistency across departments. This adaptability enables businesses to remain efficient as operational complexity increases. A Microsoft solutions partner for Dynamics 365 Business Central provides valuable guidance by understanding how technology should support both present operations and future goals. Rather than concentrating only on software deployment, experienced professionals evaluate existing processes, identify opportunities for improvement and recommend practical solutions that strengthen long-term operational performance. Correct data migration is also an important part of implementation. All information from financial records should transfer properly to the new environment, including customer information and operational information. Planning helps to minimize disruption and/or preserve information that is useful to continuing business activities. One of the key factors to successful adoption is employee training. Any technology that is advanced will only yield meaningful results when its users know how to use its capabilities in their everyday work. Continually assisted practical education fosters confidence that boosts productivity and maximizes technology investments for companies. Continual improvement is also achieved by periodic system optimization. The needs of businesses change continuously as they add new services, improve their processes, and adjust to customer needs. Periodic reviews enable workflows, reporting and automation strategies to evolve while maintaining daily workflow. Creating Long-Term Business Value Operational excellence is not limited to improving efficiency. It also strengthens resilience, adaptability and collaboration throughout the organization. Businesses with connected operations often achieve greater financial visibility, improved teamwork and stronger responsiveness to changing business conditions. Leaders gain clearer insights while employees perform their responsibilities with greater accuracy and consistency. Technology investments are long-term investments that can be measured over a period of time, and they can be effective when they support business strategy rather than short-term goals. Regularly assessing performance to identify opportunities for improvement and to make operational processes more efficient creates a larger basis for growth for the organization in the future. Strategic collaborations offer continuous support, assisting firms to integrate new capabilities, optimize processes, and adapt seamlessly to evolving business demands. The key to success is careful planning, combined with experienced implementation, employee engagement, and continuous improvement, which build more efficient operations, customer experiences, and a sustainable business for lasting success. ...Read more

Embedded Integration beyond the Connector Count

Software companies can build and launch products faster than they once could, but each new product enters a customer environment crowded with business applications. A SaaS vendor that once only needed to support a few widely used systems may now encounter dozens of CRM platforms alone. That changes integration from a secondary product feature into a buying condition. If a required connection is missing, the sale can stall, or the request can sit on a roadmap. A third-party integrator may still build something bespoke, but that path adds cost and creates another asset that must be maintained. Breadth, therefore, matters, but connector count by itself is a weak measure. Executives should examine how quickly a platform can turn an integration request into something usable inside the product. The more engineering effort required for each new connection, the harder it becomes to support a long tail of customer systems without pulling developers away from the core application. Embedded delivery is especially relevant because it lets the integration experience appear inside the software customers already use rather than as a separate external project. Configurability is just as important as availability. Two customers may use the same CRM or ERP but run different processes inside it. A fixed workflow can technically provide the connection while still failing to match the way either business handles data or actions. Buyers should look for integration infrastructure that can be adjusted by administrators and, where appropriate, personalized by end users. Extensibility matters for the same reason. An integration that covers only a predefined use case can become another backlog item once the customer asks for a variation. Maintenance deserves equal scrutiny because APIs and data structures change after deployment. Breakage that appears silently can push support teams into reactive troubleshooting and leave customers unsure whether the problem sits in their own product or the integration layer. Useful platforms should expose failures clearly and help classify the cause. Repair support should keep each change from becoming another engineering project. Monitoring should also show how data moves between applications so teams can trace unexpected behavior. AI-powered applications add another layer to the decision. Connections may need to restrict what data reaches a model, mask sensitive information, limit which tools an agent can invoke and record how data moves. Deployment options and compliance controls, therefore, matter alongside connector coverage. The integration layer should also manage how agents interact with external systems because inefficient exchanges can consume context unnecessarily and degrade application performance. Fastn provides an embedded integration platform that SaaS companies can white-label inside their products, supported by a gallery of connectors and AI agents that help build and maintain integrations. Administrators can configure workflows to match customer processes, while monitoring classifies integration errors and assists with remediation. fastn, Inc. also gives end users a wildcard connector that can generate a missing integration from stated requirements, reducing the need to turn an unsupported connector into a lost deal. Its controls can govern data passed to tools or models and support private cloud or other cloud deployment. For buyers trying to expand embedded integration coverage without creating a larger engineering burden, Fastn merits consideration. ...Read more

AI Video Creation: A New Era for Businesses

The creative production cycles are becoming faster and more adaptable as businesses increasingly turn to AI-driven video creation platforms to meet growing content demands. These platforms enable teams to produce high-quality visual content with minimal manual effort, reducing reliance on large production setups. Features like automated editing, script generation, and real-time customization allow brands to respond swiftly to market changes while maintaining consistent messaging across their campaigns. Beyond efficiency, the impact extends into cost control and sustainability. Reduced need for physical shoots, travel, and equipment is lowering production expenses and minimizing the environmental footprint. Simultaneously, scalable content creation is helping organizations localize messaging across regions without duplicating resources. As adoption grows, these platforms are reshaping how businesses approach storytelling, making video production more accessible, flexible, and aligned with modern operational priorities. Market Overview and Trends in AI Business Video Creation Platforms Demand is expanding steadily as organizations across industries integrate AI-driven video tools into core communication strategies. Enterprises, startups, and even internal corporate teams are leveraging these platforms to support marketing, training, customer engagement, and social media outreach at scale. The market is witnessing broader adoption across sectors such as retail, education, healthcare, and finance, where the need for frequent, visually engaging content continues to grow. This widespread use is strengthening the platform ecosystem and encouraging continuous feature development. Technology advancements are playing a central role in shaping current trends. Improvements in generative AI, voice synthesis, and multilingual capabilities are enabling more personalized and region-specific content delivery. Cloud-based deployment models are further enhancing accessibility, allowing teams to collaborate seamlessly without heavy infrastructure. In addition, integration with analytics tools is helping businesses measure content performance more effectively, creating a data-backed approach to video strategy and refinement. Competitive dynamics are also evolving as platform providers focus on differentiation through customization, security, and enterprise-grade capabilities. Subscription-based models, flexible pricing tiers, and API integrations are making these solutions more adaptable to varying business needs. At the same time, concerns around data privacy, content authenticity, and intellectual property are prompting stricter governance and platform safeguards. Together, these developments are shaping a market that is not only growing rapidly but also maturing in terms of reliability, scalability, and trust. Key Challenges and Solutions Shaping AI Business Video Creation Platforms Maintaining content authenticity remains a pressing concern as AI-generated videos become more advanced. The risk of misrepresentation, deepfake misuse, and loss of brand credibility is pushing organizations to adopt stricter validation processes. In response, platform providers are introducing watermarking, traceability features, and verification layers that help distinguish original content from manipulated outputs, ensuring greater transparency across digital channels. Another challenge lies in balancing creative control with automation. While AI accelerates production, it can sometimes limit originality or fail to capture nuanced brand identity. To address this, companies are enhancing customization capabilities, allowing users to fine-tune visual styles, tone, and narrative elements. Hybrid workflows that combine human oversight with AI assistance are emerging as a practical solution, preserving creativity while maintaining efficiency. "Hybrid workflows that combine human oversight with AI assistance are emerging as a practical solution, preserving creativity while maintaining efficiency." Data security and compliance requirements are also shaping platform development. Handling sensitive business data, scripts, and proprietary visuals requires robust protection measures, especially for enterprises operating across multiple regions. As a result, providers are strengthening encryption protocols, access controls, and compliance frameworks to align with evolving regulatory standards and enterprise expectations. Integration challenges continue to surface as businesses seek seamless compatibility with existing digital ecosystems. Disconnected tools can disrupt workflows and reduce overall productivity. In response, developers are focusing on interoperability, enabling smoother connections with marketing platforms, content management systems, and enterprise software to create a more unified operational environment. The pace of technological change itself presents both an opportunity and a hurdle. Rapid innovation can make it difficult for organizations to keep up with evolving features and capabilities. To counter this, vendors are investing in user education, intuitive interfaces, and ongoing support systems that simplify adoption. This approach is helping businesses stay aligned with advancements while maximizing the long-term value of AI-driven video solutions. Future Outlook and Innovations in AI Video Creation Platforms The next phase of growth is expected to be shaped by deeper intelligence and contextual understanding within video creation systems. Platforms are moving toward generating content that adapts not just to prompts, but to audience behavior, platform requirements, and real-time engagement signals. This shift is likely to support more dynamic storytelling, where videos evolve based on viewer interaction, enabling businesses to deliver more responsive and outcome-driven content experiences. Innovation is also advancing in the area of hyper-personalization at scale. Future platforms are anticipated to create highly tailored video outputs for different audience segments without increasing production timelines. From individualized messaging to culturally adaptive visuals, this capability is set to redefine how brands communicate across diverse markets, making content feel more relevant and closely aligned with audience expectations. Another emerging direction involves immersive and interactive formats that go beyond traditional video structures. The integration of augmented elements, interactive layers, and adaptive visual environments is opening new possibilities for engagement, particularly in training, marketing, and virtual experiences. These advancements are expected to blur the line between static content and interactive media, offering richer and more engaging user journeys. ...Read more

Gaming Technology Evolution: Smarter Hospitality Operations and Services

Gaming and hospitality software is increasingly a vital operational element of companies handling entertainment, guest service and customer engagement in connected surroundings. Today, software can do a lot more than just make reservations or deal with gaming administration. It can facilitate the coordination of guest interaction, the management of property operations, monitoring of transactions and the interconnection of various service areas via a common digital infrastructure. With a growing trend towards experience-driven customer expectations, gaming and hospitality software is evolving to make operations faster, while providing greater visibility of performance, preferences and service delivery for businesses. Shifting Trends in Gaming and Hospitality Technology The gaming and hospitality sectors have been joining forces in recent years, with a growing focus on efficient guest management. In recent years, the gaming and hospitality industries have been increasingly intertwined, with a particular emphasis on streamlined guest management. Software platforms can enable reservations, customer data, loyalty activity and operational workflows to be integrated into connected environments. More integration means that staff can retrieve all relevant information without having to switch between silo-based systems, enabling staff on service to meet guest needs better. Hospitality technology is also slowly turning heads towards personalization. The days of providing a standard service are over as guests want to be treated according to their likes and dislikes. Software can help to learn customer booking patterns and provide insight into which services they prefer to book and how they engage with them. Staff are then able to make more relevant recommendations and ensure that controls exist around personal information. Mobile access is transforming how guests interact with gaming and hospitality businesses. Use of digital booking, mobile check-in, access to accounts and requests for services can minimize the need for physical processes. Loyalty programs and information about properties can also be easily accessed from mobile platforms. A connected mobile experience can provide an extra touchpoint to operators, but may also eliminate repetitive admin tasks. Cloud infrastructure is helping to facilitate flexibility throughout properties and environments. Centralized systems can control information from being available wherever it is approved, and minimize reliance on locally installed infrastructure. Cloud architecture can also help in software updates and provide uniformity in processes across different operational areas. Strengthening Operations Through Practical Solutions Multiple systems used to operate several functions can result in lost information and multiple duplicated systems. Integrated platforms enable the linking of reservations, customer records, loyalty activities and operational workflows in a synchronized environment. With the improved integration, there is a significant decrease in the amount of data that must be entered twice, and teams will have a clearer picture of how customers are using their services and what they need. The operational demand fluctuates as well between the gaming and the hospitality environment, which makes it more complex to plan resources. Analytics can assist managers in knowing the pattern of bookings, customer activity, and service needs. With improved forecasting, it is also possible to modify the number of staff and operational resources available based on demand, thus avoiding a rigid resource schedule. The provision of a consistent service at several properties can also be a challenge. Performance may be difficult to compare across different locations, as they may implement their own processes. Common software standards can create common workflows with sufficient flexibility for local requirements. Centralized reporting can also help management to know where their practices are working better. The gaming and hospitality sectors are especially vulnerable to cybersecurity concerns, as they can store payment details, customer profiles, and account activity. Controlling permissions and continuously monitoring sensitive systems can help safeguard them through strong authentication. Routine security inspections may also discover spaces for enhancements and make sure that the working staff can continue to have access to the needed software with reliability. New Capabilities Expanding Industry Opportunities AI is opening up new avenues for understanding customer behavior and enhancing operational decision-making. AI-supported systems can detect patterns over bookings, service preferences and engagement activity. These insights are valuable for managers to optimize customer interactions and allocate resources efficiently. Machine recommendations are not an end-all and be-all, as human judgment is still necessary to take into account other operational factors and business priorities. Another area where predictive analytics can help is demand management. Software can look at the past and present data to determine future needs for rooms, services and entertainment. Forecasting can be more accurate to help operators plan staffing, inventory and service capacity to their needs. The usefulness lies in the fact that such predictive information is used as a basis for decision-making, not as a foregone conclusion of the automated forecast. Digital experiences are moving beyond recommendations to the personalized. Software can link customer preferences to loyalty programs, booking processes and service interactions. Any guest who has used specific facilities or services regularly may be provided with pertinent details via approved means of communication. Customer engagement through personalization can be more useful and provide better insight into customer interests for operators. Another area that has a lot of scope for automation is property operations. Normal activities like notifications, booking confirmations, account updates and internal workflow alerts can be done digitally. Staff have more time to engage with guests and to make sound professional decisions as repetitive administrative tasks are reduced. ...Read more