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Brand Engagement Network (NASDAQ: BNAI) Invests $1 Million in Accelevate Solutions and Secures Additional Investor Capital Commitment to Support Expansion

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WILMINGTON, Del., June 5, 2026 /PRNewswire/ — Brand Engagement Network, Inc. (NASDAQ: BNAI) (“BEN” or the “Company”), a leader in secure, enterprise-grade conversational AI, announced the completion of its $1 million strategic investment in HighTide Energy, Inc. d/b/a Accelevate Solutions (“Accelevate”), resulting in an approximately 10% ownership stake.

The investment reflects BEN’s conviction in Accelevate’s strong growth momentum and the opportunity to expand growth capital in support of continued scale, alongside the companies’ shared vision to advance AI-powered fleet intelligence solutions across North America, Latin America, and Africa.

In connection with the financing, BEN received a warrant to increase its ownership interest in Accelevate and intends to exercise it over the next six months, with ownership expected to increase to approximately 20% upon completion.

To support this, BEN has secured a $1 million equity capital commitment from BEN investors through a Securities Purchase Agreement to purchase BEN common stock at $17.82 per share, representing a premium of over 20% to the closing market price on May 29, 2026. The commitment will be funded in six monthly installments through November 2026, with BEN exercising a corresponding portion of the Accelevate warrant as each tranche is received.

Through this collaboration, BEN and Accelevate will combine complementary capabilities in conversational AI and fleet intelligence to accelerate the deployment and commercialization of next-generation operational solutions across North America, Latin America, and Africa. Accelevate’s platform serves commercial fleet operators across these markets, expanding BEN’s exposure to a large and growing transportation technology sector.

“We have completed our initial investment, secured the capital to support an increase in our ownership interest, and aligned our organizations around a commercialization strategy that we believe can accelerate the deployment of AI-powered fleet intelligence across multiple global markets,” said Tyler Luck, Chief Executive Officer of BEN.

“What excites us most is that this partnership demonstrates how AI should be deployed – not as a standalone technology, but as a driver of real-world operational efficiency and engagement. By combining forces with Accelevate, we are building more connected, intelligent, and responsive operations. Across fleet networks, this means bringing intelligence and engagement closer to drivers and consumers in vehicles, enabling more seamless interaction between people, assets, and data in motion. That’s the future we believe in: AI that delivers measurable outcomes and creates value in everyday business operations.”

About Brand Engagement Network, Inc.
Brand Engagement Network, Inc. (“BEN”) builds secure, enterprise-grade artificial intelligence for the engagement layer of AI, where people interact with systems and actions occur. Powered by BEN’s proprietary Engagement Language Model (ELM™), BEN’s technology enables conversational AI interactions that connect human intent to organizational data, workflows, and real-world outcomes. BEN’s AI operates within secure closed-loop environments using approved organizational data and built-in governance and compliance controls. Trusted by organizations operating in regulated and high-impact industries, BEN helps bring AI into real operational settings where engagement drives outcomes and accountability matters. For more information, visit www.brandengagementnetwork.com.

About Accelevate Solutions
Accelevate Solutions, a division of HighTide Energy, Inc., is developing AI-powered fleet decision intelligence for commercial transportation operators. The platform is designed to analyze and optimize core fleet functions, including operations, procurement, and fleet right-sizing, turning complex operational data into real-time, actionable outcomes. Accelevate’s goal is to enable transportation operators to grow top-line revenues while reducing costs, turning fleets into intelligence-driven systems that scale across passenger and supply chain networks. For more information, visit www.accelevatesolutions.com.

CONTACTS:
BEN Media Contact: amy@beninc.ai
BEN Investor Relations: investors@beninc.ai

Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the intended use of BEN’s technology within Accelevate’s fleet platform, anticipated commercial opportunities in North America, Latin America and Africa, and the completion of the Company’s agreed exercise of the Warrant and the second $1,000,000 investment in Accelevate described herein. These statements involve risks and uncertainties that could cause actual results to differ materially, including the ability to successfully develop and deploy the intended technology integration, customer adoption of AI-driven fleet solutions, the completion of installment funding under the Securities Purchase Agreement, general economic and geopolitical conditions in target markets, and other risks described in the Company’s SEC filings, including its most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. The Company undertakes no obligation to update these statements except as required by law.

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SOURCE Brand Engagement Network, Inc. (BEN)

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ModelBest and OpenBMB Open-Source MiniCPM-OCR Series, Delivering High-Performance Document Parsing and AI-Powered Quality Control

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BEIJING, Oct. 31, 2026 /PRNewswire/ — ModelBest and OpenBMB jointly announced the release and open-source availability of the MiniCPM-OCR series, a family of models for efficient document parsing and parsing-quality assessment. The launch includes two models: MiniCPM-OCR 1.0 (1.3B) and MiniCPM-OCR Jev (2B).

As the first OCR-focused model in the MiniCPM family, MiniCPM-OCR 1.0 brings top-tier parsing accuracy to a compact 1.3-billion-parameter architecture optimized for edge deployment, pushing forward the balance between efficiency and performance for open-source OCR models. Built for real-world conditions, it accurately parses scanned, photographed, curved, tilted and screen-captured documents without cumbersome image pre-correction, lowering the barrier to large-scale document digitization.

The model handles dense bilingual Chinese-English content, complex mathematical formulas, and multi-level or borderless tables, consistently performing at a leading level across a broad range of mainstream industry evaluations. Beyond full-page reconstruction, it supports key information extraction (KIE), pulling specified fields from invoices, IDs and financial statements according to business instructions.

Powered by DSpark decoding acceleration, MiniCPM-OCR 1.0 significantly increases end-to-end throughput while lowering per-page latency. For enterprises processing millions of pages—such as financial contract archives, academic libraries and government records—this means processing far more documents with the same hardware and time budget, at a substantially lower computing cost.

To address the long-standing need for page-by-page manual review, ModelBest and OpenBMB also introduced MiniCPM-OCR Jev, the first OCR result decision model that acts as an “AI quality inspector.” Rather than performing OCR itself, Jev compares the source image with OCR output and rapidly assigns confidence scores to text, LaTeX formulas and tables, detecting missing characters, errors and formatting misalignments. Despite its compact 2B-parameter size, Jev delivers judgment accuracy typically associated with far larger models.

Jev supports cross-model deployment and can be integrated into existing OCR workflows without replacing the underlying OCR engine. It can automatically identify reliable results for direct processing, flag potentially inaccurate outputs for human review and select the best result from multiple OCR systems. This enables enterprises to move from full manual inspection toward risk-based, automated quality control.

The MiniCPM-OCR series is available on GitHub, Hugging Face and ModelScope, and supports vLLM, SGLang, llama.cpp and Ollama, along with SDKs, APIs, Agent Skill plugins and open-source fine-tuning code. Day-0 hardware adaptation covers AMD, Arm, Houmo AI, Intel and NVIDIA. Through the FlagOS software stack, it also has Day-0 support for AI and edge chips from CIX Technology, Huawei Ascend, Hygon, Iluvatar CoreX, Kunlunxin, MetaX, Moore Threads, Sunrise, T-Head, TsingMicro, NVIDIA and Apple Mac (Arm).

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SOURCE ModelBest

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Wulcea Elevates Consumer Trust in Heated Apparel Through Multi-National Safety Certifications and Rigorous Technical Testing

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NEW YORK, Oct. 31, 2026 /PRNewswire/ — As smart heated clothing gains broader adoption, consumers are paying closer attention to the safety and reliability of the technology behind these products. Wulcea, a brand specializing in graphene-powered heated apparel, combines its flexible GrapheneNano™ heating technology with documented safety compliance and durability testing for its heating components and battery systems.

“Trust in smart heated apparel goes beyond warmth—it comes down to confidence in battery safety and heating element reliability,” said John C, Founder of Wulcea. “Our goal is to give users peace of mind through certified technical standards.”

Advanced Graphene Heating Elements Supported by Global Standards

At the core of Wulcea’s thermal architecture is its GrapheneNano™ heating technology. Engineered to eliminate garment stiffness, Wulcea integrates flexible graphene elements that deliver balanced warmth across key upper-body zones while preserving natural garment drape and full freedom of movement.

Wulcea supports its heating components with applicable compliance documentation for major markets. These include CE and FCC compliance documentation addressing relevant electrical and electromagnetic compatibility requirements, as well as PSE compliance for applicable products in Japan. RoHS compliance further addresses restrictions on specified hazardous substances in applicable electrical and electronic components.

Multi-Certified Battery System for Dependable Power

To power its heating elements, Wulcea pairs its heated apparel with rechargeable battery systems designed for convenient everyday use. Featuring a compact design and housed in dedicated interior pockets, the batteries provide portable power while maintaining a streamlined garment profile and comfortable fit.

Wulcea backs its battery options with comprehensive third-party accreditations. UL certification demonstrates that the battery system has been evaluated against recognized power bank safety requirements, covering key areas such as overcharge protection, short-circuit protection, and thermal safety. The battery systems are also supported by applicable CE and FCC compliance documentation, addressing relevant regulatory requirements for electrical and electromagnetic compatibility.

For daily handling and travel, RoHS compliance validates that the battery system meets stringent global standards for material safety. The battery models have also undergone applicable UN 38.3 testing, supporting compliance with international requirements for lithium battery transportation.

Real-World Durability and Practical Usability

Component compliance forms Wulcea’s foundation, but reliability is defined by real-world performance. Built for high-flex endurance, Wulcea’s flexible graphene heating elements are tested through 10,000 active flexing cycles to maintain steady thermal output through repeated bending and everyday body movement.

Everyday convenience is equally essential. Built for hassle-free care, Wulcea’s heating elements withstand 100 machine-wash cycles under standard care guidelines, maintaining internal conductivity and structural stability under repeated laundering.

Integrated NTC temperature sensors provide thermal monitoring and are designed to stop heating if temperatures exceed 131°F (55°C). Combined with runtime of up to 10 hours on the low setting and a discreet interior control button, these features support practical everyday use in cold-weather conditions.

Aligning Technical Standards with Everyday Warmth

By combining graphene-based heating technology with documented battery safety compliance and durability testing, Wulcea continues to focus on the technical foundations of dependable heated apparel. This approach reflects the brand’s emphasis on bringing together safety considerations, practical functionality, and everyday comfort for cold-weather use.

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SOURCE Wulcea

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NIDS Co., Ltd. Confirms CES 2027 Participation, Pursues Expansion of Global Supply Chain for Environmental Sensors

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Company introduced optical and gas sensors at SEDEX and is strengthening its composite sensor business for robotics, home appliances, automotive, and smart building applications

SEOUL, South Korea, Oct. 31, 2026 /PRNewswire/ — Environmental sensor manufacturer NIDS Co., Ltd. has confirmed its participation in CES 2027 and is moving to expand its global business-to-business (B2B) supply chain. Building on its experience supplying sensors to domestic and international home appliance and automotive companies, the company aims to secure overseas customers and extend its applications into smart building HVAC and robotics.

NIDS recently participated in the Korea Semiconductor Industry Association’s Sensor Pavilion at SEDEX 2026, held at COEX in Seoul, where it introduced its next-generation sensor modules. The company said the exhibition allowed it to raise awareness of its technology among domestic home appliance and electronic component industry professionals and to lay the groundwork for collaboration in the sensor field.

The company will use CES 2027 as its next stage. NIDS plans to firm up discussions on sensor module supply with global home appliance makers, HVAC specialists, and robotics companies. It aims to extend the industry contacts gained at the domestic exhibition overseas and to convert product introductions into actual supply opportunities.

Founded in 2000, NIDS develops and manufactures environmental sensors and air quality management solutions. According to the company, it has supplied more than 10 million sensors cumulatively to domestic and international companies, including Dyson, Samsung Electronics, and Hyundai Motor. Drawing on this supply track record, the company intends to showcase its precision sensing technology and mass-production capabilities to overseas customers.

Its main products include particulate matter sensors, optical gas sensors based on non-dispersive infrared (NDIR) technology, composite environmental sensors, and electronic nose sensor modules. The particulate matter sensors measure PM1.0, PM2.5, and PM10, while the gas sensor lineup targets carbon dioxide (CO₂), carbon monoxide (CO), and other gases. The electronic nose is used for detecting everyday odors, gas leaks, and fires. The company said it designs the core components required for air quality measurement in-house and has a system in place to mass-produce 5 million units annually.

The area where NIDS will expand development and supply going forward is next-generation composite sensor modules. The company has been pursuing a sensor business that responds to industry-specific demand in home appliances, automotive, and smart building HVAC, and is now concentrating its capabilities on markets such as robotics, industrial safety, and odor detection based on this technology. Building on its experience supplying individual components, NIDS plans to continue developing and supplying, on a B2B basis, modules that handle multiple types of environmental data.

The company will also highlight its sensor product lineup and its newly developed ultra-compact MEMS sensor technology at the exhibition. NIDS plans to introduce its optical and gas sensor lineup along with examples of their application in actual air quality management systems. By explaining both the measurement functions of its components and its experience operating sensors for finished-product services, the company aims to broaden the scope of partnership discussions.

NIDS explained that, because it owns its precision sensors, it can control sensor sensitivity and tune algorithms to suit the system in which they are applied. Drawing on this technical operating experience, the company plans to pursue partnerships with customers and to promote its business capabilities extending from sensor components to air quality and odor management and industrial safety management.

NIDS will also leverage its existing branch network in its overseas market development. Through its overseas bases in the United States, Japan, and China, the company plans to widen its touchpoints with buyers and seek new supply opportunities in conjunction with its CES participation. Its goal is to generate export results by combining exhibition participation with its local networks.

The company intends to keep expanding the global supply of sensor components as a core pillar of its business. Building on the supply experience accumulated in home appliances and automotive, it will broaden its partners to robotics, HVAC, and smart buildings, and respond to industry-specific air quality measurement demand through the development of next-generation modules.

“We plan to continue expanding the development and B2B supply of next-generation composite sensor modules needed across a range of industries, including home appliances, automotive, and smart building HVAC,” NIDS said.

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SOURCE NIDS Co., Ltd.

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