Join Engage! with Publishers & Investors, sponsored by @EpicGames Store! ✍🏻 Meet representatives from @ESDigital_Games, Cas.ai, @feardemic, Burny Games, @Vivid_Games, @RawFury, Hypercell, and make real business deals. 🔗 Sign up: devgamm.fillout.com/engage-g…

The #GenAI pilot phase is over. Now enterprises are facing the real challenge: AI ROI. Read our latest blog to learn how Hypercell can help build better data pipelines to help operationalize GenAI at scale: tinyurl.com/5cjcr5pf

real ones arent real with the warm front riding hypercell

Dryline that produces the unheard-of of hypercell

Chinese New Year Holiday Notice 🎉 As the Spring Festival approaches, Hypercell would like to extend our sincere wishes to you. 📅 Holiday Period: 2026.02.12 – 2026.02.23

My bad, the curves started a fire, here's heat back at you Chief: \mathcal{H}_{\text{YHVH}} = \sum_{i \in \text{hypercell}} \left( v_i^{\text{Yod}} \, | \psi_i \rangle \langle \psi_i | \right) \sum_{\langle i,j \rangle} t \, e^{i \kappa \phi_{ij}} \left( c_i^\dagger c_j \text{h.c.} \right) \otimes \text{Heh}_{\text{upper}} \sum_k \lambda_k \, \mathcal{T}_k \left( c_k^\dagger c_k \right) \otimes \text{Vav}_{\text{central}} \sum_{m \in \text{boundary}} \left( \kappa^{-1} \, \delta_m \right) \left( | \downarrow_m \rangle \langle \uparrow_m | \text{h.c.} \right) \otimes \text{Heh}_{\text{lower}}

The trio found a Hypercell🪫👍#StellarBlade #StellarBladePC

#Original #Mecha [ Original Operation System ] KNIGHT System Kenetic Non-weakness Interactive General Hypercell Transmitter

Proud to finally share this teaser for Cobo Hypercell, in collaboration with @revelium_studio and the great @niccolomiranda. Hypercell is a revolutionary foam technology, engineered for unmatched performances. By meticulously storyboarding photorealistic process graphic and crafting custom sound design, we used AI as a medium to mirror the manufacturing process, turning it into a visual statement that redefines expectations of advanced fabrication and engineering. #innovation #technology #AI #motiondesign

A look at the teaser video for Cobo Hypercell, a revolutionary foam technology, engineered for unmatched performances. #CoboHypercell #Innovation #AI #Tech

The 3D-printed body of the Yangwang U9X marks a major leap in China’s automotive materials and manufacturing technology. Inspired by aerospace engineering, the R&D team developed a new high-strength aluminum alloy—three times stronger than conventional cast aluminum—achieving the right balance between lightweight construction and rigidity. Yangwang also pioneered multi-surface parametric modeling and the world’s first Printing HyperCell technology, boosting torsional rigidity by 200 percent without adding weight. With 0.03 mm laser-printing precision and a thermal-deformation compensation algorithm, key body mounting points now meet aerospace-engine tolerance levels. Thanks to breakthroughs in materials, structure, and process, the U9Xtreme body won recognition at the European Car Body Conference—making Yangwang the only Chinese brand to receive the award and opening a new path for aerospace-grade manufacturing in the auto industry. $BYDDY #ChinaEV #YangwangU9Xtreme

$PLTR X @HyperscienceAI ⬇️ SNAP Benefit Processing Enters AI Era: Hyperscience Unveils Single-Platform Solution to Address Increased H.R.1 Mandates 👀🇺🇸 Hypercell for SNAP provides states with immediate technological leverage needed to avoid multi-million dollar penalties, shifting processing from weeks to days, while ensuring sub-6% payment error rates Oct 21, 2025 NEW YORK--(BUSINESS WIRE)--Hyperscience, a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing (IDP), today announced Hypercell for SNAP, a purpose-built solution designed to help U.S. State and Local Governments meet increased Supplemental Nutrition Assistance Program (SNAP) compliance mandates introduced under the H.R. 1 bill. Hypercell for SNAP empowers state agencies to automate and orchestrate SNAP application processing, reduce costly payment error rate (PER) penalties, and deliver critical food assistance to eligible families and individuals faster. “State governments have invested millions in legacy technologies that have failed to solve the core SNAP challenge, leaving applicants facing weeks of delays and exposing states to costly penalties under new compliance mandates,” said Andrew Joiner, CEO, Hyperscience. “The problem isn't the portal; it's the paper. Documents remain the biggest bottleneck. Hypercell for SNAP applies our deep AI and ML software expertise to provide an accurate, rapid, and turnkey understanding of the varied, complex documents in a SNAP application packet—finally allowing states to overcome this systemic processing failure and meet their fiscal and humanitarian goals simultaneously.” A Strained System: SNAP in Crisis Following the enactment of H.R. 1, states administering SNAP benefits face major challenges that significantly increase operational risk and administrative burden: Document Bottleneck: Despite SNAP’s critical role in addressing food insecurity, an estimated 40% of applications are rejected due to being incomplete, illegible, or incorrectly filled out. This high rejection rate exposes deep flaws in an outdated, confusing, and often inaccessible application process, especially for families and the elderly facing economic hardship, language barriers, or limited digital literacy. Double the Paperwork: Under the new legislation, the 42 million SNAP beneficiaries across the United States are required to reapply or recertify their eligibility every six months, as opposed to the original annual application process. This change effectively doubles the paperwork that must be processed by state agencies, at a time when most systems and case workers are already overwhelmed with applications. Additionally, new work requirements will add to the already existing document volume and complexity. Financial Penalties: These increased eligibility compliance requirements go into effect starting October 2026. As of October 2027, the federal government will impose penalties on states whose SNAP Payment Error Rate (PER) exceeds 6 percent, putting those states at risk of access to the $100B in federal funding for SNAP programs1. Currently 44 states exceed the 6 percent error rate, subjecting them to steep fines that will have a profound impact on state budgets2. These pressures make it essential for states to adopt smarter, faster, and more accurate ways to manage eligibility and benefits delivery to those who need it most. Hyperscience Hypercell for SNAP Hypercell for SNAP is a scalable, modular solution that helps State and Local Governments manage the operational challenges of SNAP, including the complexity of processing more than 30 eligibility document types, per applicant, with varying formats and frequent handwriting issues, across millions of applicants. Documents include, but are not limited to, driver's licenses, state IDs, passports, lease/rental agreements, utility bills, mortgage statements, pay stubs, employer letters, tax returns, utility bills, child care receipts, bank statements, vehicle registrations, and several others. While other technologies fail because of the high degree of document variability, Hypercell for SNAP is the only solution on the market capable of accurately reading and understanding this complex document landscape. By deploying a proven-AI solution into this mission-critical, document-heavy workflow and ensuring accurate data flows to downstream systems, states can cut payment errors by 50 percent, cut administrative costs, and deliver SNAP benefits much faster, reducing the average payment time from 26 days to approximately seven days and improving health outcomes. Solution Overview: Purpose-Built for State SNAP Operations Underpinning the solution is the Hyperscience Optical Reasoning and Cognition Agent (ORCA), a proprietary Vision Language Model (VLM) framework developed and designed to address the high-variability document processing of SNAP applications. ORCA delivers excellent results with its zero-shot capabilities and “train-only-if-you-like” approach that enables organizations to handle high variability in document types while accelerating time to value. Key components include: Streamlining Document Processing and Eligibility Verification at Scale: Rapid Understanding: ORCA, combined with pre-trained proprietary Hyperscience models, enables fast document classification and extraction with minimal set-up for faster time to value. Automated Validation: Pre-built flows assess if required documents are present and in good order and can trigger a note to applicants flagging missing or incorrect documents. This reduces wasted time, improves the applicant experience and ensures caseworkers only review completed applications. Easy Human Review: Supervision interface surfaces packet status and details to caseworkers for quick review & decision. Enhanced Auditability & Traceability: Integration with Case Management Systems and reporting on key metrics improves system visibility for executives, program directors, and caseworkers. Advanced Image Processing: Delivers best-in-class image clarity and extraction accuracy, resolving a key root cause of downstream quality issues that legacy Optical Character Recognition (OCR) solutions fail to handle. Built-in Quality Assurance: Embedded quality assurance checks within the application ensure consistent accuracy and reduce manual rework, improving overall efficiency and trust in document processing. A Secure, Compliant Solution to Reduce Administrative Burden and Improve Accuracy Hyperscience is committed to delivering a secure, compliant solution to its public sector and enterprise customers. Hyperscience Hypercell for SNAP is FedRAMP® High authorized in partnership with Palantir Technologies through the company’s FedStart Program. This authorization establishes Hyperscience as the standard for government agencies seeking a secure and compliant AI platform to increase automation and efficiency, and lower costs. Hyperscience also achieved TX-RAMP Level 2 certification, enabling the company to securely process and store confidential and regulated data for the State of Texas. Hyperscience undergoes an annual independent SOC 2 Type II audit, validating the design and operational effectiveness of our controls related to security, availability, and confidentiality. The company maintains Cyber Essentials Plus certification, verified through a rigorous independent technical audit, further demonstrating its commitment to cybersecurity at every level. Hyperscience provides the flexibility to deploy Hypercell for SNAP across public cloud, on-premises, or air-gapped environments. A Broader Impact for Government Modernization While this solution is optimized for SNAP, over 85% of the platform’s capabilities are directly applicable to other entitlement programs including Medicaid, TANF, and LIHEAP, offering a scalable path to modernize the full benefits landscape. Hyperscience aims to continue enhancing the Hypercell to help modernize the full ecosystem of integrated eligibility programs offered. Join Hyperscience at the following events, to learn more and see a demo of Hypercell for SNAP: Gartner Symposium, Orlando, Florida, October 20 – 23 American Public Health Association (APHA) Annual Meeting, Washington DC, November 2 – 5 Digital Government Summit, Springfield, Illinois, November 13 About Hyperscience Hyperscience is a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing (IDP). The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity. Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Department of Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global. Sources: 1) USDA Releases Annual SNAP Payment Error Rates for FY 2024 2) Fiscal Year 2024 SNAP Quality Control Payment Error Rates 🇺🇸🥼🤖🔮💥 businesswire.com/news/home/2…

$PLTR 4 Patents and Pili Partner Hyperscience (through FedStart) delivers Hypercell for SNAP. Hypercell a purpose-built solution designed to help U.S. State and Local Governments meet increased Supplemental Nutrition Assistance Program (SNAP) compliance mandates introduced under the H.R. 1 bill. Hypercell for SNAP empowers state agencies to automate and orchestrate SNAP application processing, reduce costly payment error rate (PER) penalties, and deliver critical food assistance to eligible families and individuals faster.

$PLTR Partner @HyperscienceAI 👀⬇️ Hyperscience Unveils Winter 2025 Release, Advancing Agentic Document Automation for the Enterprise Oct 15, 2025 Hyperscience Hypercell adds enhancements to its purpose-built Vision Language Model and deeper support for multi-cloud environments, empowering enterprises to flexibly automate the most complex workflows with unprecedented understanding, speed, and modularity NEW YORK--(BUSINESS WIRE)--Hyperscience, a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing (IDP), today announced enhancements to its Hyperscience Hypercell platform. Building on the momentum of previous versions, the Winter 2025 release advances the Hypercell’s agentic document automation capabilities and reinforces the company’s guiding principle to provide a composable and modular platform that enables organizations to achieve their unique business and technology objectives. Despite significant enterprise investment, most Gen AI initiatives are failing to deliver meaningful returns. According to new research from MIT NANDA, 95% of projects stall before reaching production1, creating what experts call the “GenAI Divide.” While tools like ChatGPT boost individual productivity, they rarely drive core business outcomes due to a lack of adaptability, contextual learning, and workflow integration. Compounding the issue, a one-size-fits-all approach to GenAI falls short. Different use cases require a mix of general-purpose and specialized models, along with the flexibility to deploy them across public cloud, on-premises, or air-gapped environments. Without this combination of precision and control, AI efforts remain stuck in pilot mode, unable to scale or generate real value. “Enterprises around the world are waking up to a hard truth: generic GenAI tools aren't enough to drive real business transformation,” said Andrew Joiner, CEO, Hyperscience. “At Hyperscience, we are focused on delivering fast ROI and immediate business outcomes. The latest version of the Hyperscience Hypercell doubles down on this commitment to meet the core principles of agentic AI – including adaptability, context awareness, and continuous learning. By deepening the power of our specialized models, automating end-to-end processes, and expanding our multi-cloud modularity, we are empowering organizations to automate their most complex processes with unparalleled precision and control. That’s why global organizations trust us to automate their most complex, high-value processes in a secure and efficient manner, and at scale.” Unprecedented Understanding of Documents and Processes Driven by the successful adoption of Optical Reasoning and Cognition Agent (ORCA) by customers across industries, this Hyperscience Vision Language Model (VLM) framework is unlocking new, sophisticated use cases. Its zero-shot capabilities and “train-only-if-you-like” approach enable organizations to handle high variability in document types while accelerating time to value. The flexible nature of Hypercell is also facilitating greater compliance and data protection capabilities for organizations. ORCA Enhancements: With the Winter 2025 release, enhancements to ORCA include – Supervision Page Location Focus, that points users directly to the estimated location of a field and Chat with Documents, an LLM block alternative that provides a GenAI experience to query, summarize, and validate information with contextual document citations. This enables users to deploy the feature in restricted or air-gapped environments without needing to call external APIs, enhancing security and deployment flexibility. Additionally, Hyperscience now enables streamlined fine-tuning of the powerful model that yields the highest levels of accuracy and flexibility – a rare combination in the complex document automation market. Expanded Redaction, Masking, and Synthetic Data Generation: To protect sensitive data from potential exposure and ensure compliance with privacy regulations such as GDPR and HIPAA, protecting Personally Identifiable Information (PII) is critical for AI adoption in the enterprise. Now, with the Winter 2025 release of the Hypercell, Hyperscience enables organizations to redact or mask PII data and replace it with synthetic equivalents if needed. This creates secure data estates for AI/ML model training across different testing environments, allows for offshoring BPO operations, and maintains governance and compliance across organizations. Accelerated Speed and Performance Slow document processing creates bottlenecks in critical workflows, delaying decisions, increasing manual workloads, and preventing teams from responding to business needs in real time. The Winter 2025 release introduces major performance and usability improvements that accelerate both manual and automated tasks, helping customers achieve value faster. Smarter Supervision: To reduce the manual effort required by knowledge workers, the Winter 2025 release will now send only relevant pages to Flexible Extraction tasks, focusing human attention where it is most needed. Enhanced Reporting: Product owners gain better insight into keyer performance with User Performance reporting for Full-Page Transcription Quality Assurance (FPTQA) tasks to effectively monitor and anticipate staffing needs. Expanded Flexibility and Modularity for Faster Adoption of Enterprise AI As enterprises adopt GenAI, many hit a wall due to security, compliance, and deployment inflexibility, especially in regulated industries where external APIs and cloud-only models pose unacceptable risks. Without greater control over data, infrastructure, and authentication, AI initiatives stall, unable to scale beyond pilot phases. With the Winter 2025 release, Hyperscience is addressing these challenges by introducing: Expanded Hyperscaler Integrations: The platform now includes native connectors for Microsoft Azure Blob Storage and Google Cloud Storage, in addition to AWS S3 Listener and S3 Notifier, giving customers more choice in where their data resides. Over the past year, Hyperscience has continued to cement its position as a leader in intelligent automation. The company achieved FedRAMP® High Authorization through a strategic partnership with Palantir, affirming its commitment to delivering secure, compliant solutions in highly regulated environments. Hyperscience has been named a Leader in six tier-one industry analyst reports, including being ranked a Leader in the first-ever 2025 Gartner® Magic Quadrant™ for Intelligent Document Processing, a Leader and Fast Mover in the 2025 GigaOm Radar for IDP, and a Leader in the Forrester Wave™: Document Mining & Analytics Platforms. These accolades further validate the technical innovation and operational excellence that drive the Winter 2025 release and set the stage for the next chapter of growth for Hyperscience. The Hyperscience Hypercell Winter 2025 release is now available for SaaS customers and will be available for on-premises customers later in October 2025. To learn more about the Winter 2025 release, please register for our webinar taking place on November 13, titled, “The Next Leap in Enterprise AI: Hyperscience Winter 2025 Release.” About Hyperscience Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software. The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity. Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Department of Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global. 🇺🇸🏦🚘🏥🔮🤖💥 businesswire.com/news/home/2…

Hypercell INR21700-7S13P Smart Battery Pack for underwater robotics! ⚡ 65Ah, 25.2V, 1638Wh, 80A discharge 🔌 2-XT60 connectors, 10AWG wires 💦 IP68 waterproof, 800 cycles 📏 7.35kg, 292x179x81mm #Hypercell #Battery

🇨🇭 Swiss start-up Annaida Technologies, backed by #EUeic Transition’s #HYPERCELL project, closed a Pre-Series A round led by ΗΕΜΕΧ. This boost will launch their non-invasive embryo analysis device, redefining the future of fertility care. Meet them👉 tinyurl.com/55w2u7k5

Hyperscience’s Hypercell has been named #IDP Platform of the Year at the 2025 AI Breakthrough Awards! 🏆 Built for speed, scale, and accuracy (up to 99.5%), Hypercell transforms even the toughest documents into structured, secure data. Read More here → shorturl.at/Y92gS

Designed for small GPS trackers！ Hypercell batteries offer customizable sizes and ultra-lightweight with excellent performance. #Hypercell #lithiumbattey #gpstracker

Hypercell Smart battery pack for underwater acoustic sensing hydrophone capable of locating the leak, averting environmental disaster. #Hypercell #lithiumbattery

Putting in the Hypercell #StellarBlade #StellarBladePC #BlackoutThursday (Learning how to move/adjust the lights in uuu free cam🥲)