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Deliverance AI emerges from stealth with £6m ARR to build the operating system for sovereign enterprise AI

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UK-founded company is helping regulated enterprises deploy governed agentic AI inside private, sovereign and air-gapped environments

LONDON, June 9, 2026 /PRNewswire/ — Deliverance AI, the UK-founded Agentic Operating System (OS) for the enterprise, today announced its emergence from stealth with £6m ARR, more than 30 employees and six enterprise customers within three months of incorporation.

Deliverance AI is building the operating system for sovereign enterprise AI. Enterprise adoption of AI has stalled not because of the AI itself, but because organisations lack the operating model to govern it. Deliverance AI solves this: a platform that helps government, regulated industries and large enterprises deploy agentic AI at scale—inside their own environments, with full governance, visibility and control over data, models, agents and decisions from day one.

The company is working with HPE and NVIDIA to help enterprises move AI from pilots into secure production. HPE provides the turnkey private cloud foundation for customer-controlled AI environments. Deliverance AI is using NVIDIA DGX-accelerated computing, NVIDIA DGX Spark and NVIDIA’s agentic AI software stack, including NVIDIA OpenShell and NVIDIA NemoClaw, for governed agentic AI workflows.

Deliverance AI is UK-founded and UK/EU-headquartered—not subject to the US CLOUD Act. For regulated enterprises, defence and any workload where data residency is non-negotiable, this is a structural advantage, not a contractual promise. The platform supports deployment across hyperscale cloud, sovereign infrastructure, on-premises systems and air-gapped environments, ensuring data never transits US-controlled infrastructure unless the customer chooses it.

Enterprise AI adoption has entered a new phase. Many organisations have invested in GPUs, cloud platforms and AI pilots, but still lack the system needed to run, govern, measure and audit AI as a production system.

Deliverance AI addresses that gap with an Agentic OS that provides a governed runtime for AI agents, a layered knowledge architecture, model routing, audit trails, cost attribution and embedded forward-deployed engineering to help customers turn AI infrastructure into controlled business outcomes.

Mick McNeil, CEO and founder of Deliverance AI, said: “Enterprise AI will not scale on trust-me promises. The organisations with the most valuable data need AI that can operate inside their own environment, under their own controls, with governance built in from the start.

“Companies have spent heavily on AI infrastructure, but infrastructure alone does not give you an AI outcome. The missing layer is an operating system for agentic AI: somewhere to run agents, govern them, give them context, measure them and make them accountable. That is what Deliverance AI has been built to provide.”

Anthony Hills, NVIDIA Regional Director, UK&I, Enterprise & Public Sector, added: “As AI becomes a foundational productivity layer for every enterprise, organisations are increasingly focused on turning accelerated computing infrastructure into controlled, measurable business outcomes. The integration of Deliverance AI’s Agentic Operating System with the NVIDIA-accelerated computing platform and software stack provides a managed infrastructure designed for running governed agentic workflows within private and regulated environments.”

The platform is already being used by enterprise customers to replace expensive professional services workflows, accelerate sales and operations functions, and apply governed AI to finance and business process use-cases. In one customer deployment, Deliverance AI demonstrated a near 75% cost reduction while also reducing the time taken to start and complete tasks.

The platform’s model-routing capability directs AI tasks to the most appropriate model based on performance, cost, risk and governance requirements. This helps customers avoid being locked into one model, cloud, agent framework or infrastructure vendor, while giving them resilience across multiple providers and leverage as the AI model market continues to move quickly. For regulated and data-sensitive organisations, this means AI can run under their own controls, with clear oversight of users, models, data flows, costs and outcomes.

Building with HPE and NVIDIA

Deliverance AI partners with HPE because they share a commitment to enterprise AI that is governed from day one. HPE Private Cloud AI, the turnkey AI factory solution co‑engineered with NVIDIA as part of the NVIDIA AI Computing by HPE portfolio, gives customers the sovereign infrastructure layer. Deliverance AI provides the operating system layer—the governance, runtime, observability and outcome measurement that turn infrastructure into controlled, auditable, profitable AI workflows.

James Brooks, UKIMEA Hybrid Solutions Leader, HPE, said: “Deliverance AI’s emergence shows the growing demand for sovereign AI among enterprises. HPE Private Cloud AI meets this need by enabling agentic workflows to run within private, sovereign and air-gapped environments, keeping customers firmly in control of their data, models and decisioning.”

Deliverance AI is also working with NVIDIA to support secure, private and enterprise-grade AI deployments. The company has deployed its platform on NVIDIA DGX systems and NVIDIA DGX Spark, and is using NVIDIA NemoClaw blueprints for governed agentic AI workflows in private and regulated environments.

For enterprises investing in AI infrastructure, Deliverance AI provides the governance, runtime and outcome layer needed to move from experimentation to production.

“HPE and NVIDIA are central to how regulated enterprises will deploy AI at scale. HPE gives customers the private cloud architecture they need for agentic AI, with NVIDIA-accelerated computing and software for secure AI, including NVIDIA DGX Spark and NVIDIA NemoClaw. Deliverance AI is the operating system, helping customers turn that foundation into governed, measurable and accountable AI workflows,” McNeil added.

McNeil previously held senior leadership roles across cloud, high-performance computing and AI businesses at Microsoft, Northern Data Group, and Logicalis.

The company is headquartered in London and serves customers across the UK, Europe, the Middle East and North America.

Notes to Editors

High-resolution imagery is available to download here.

About Deliverance AI

Deliverance AI’s mission is to make the agentic enterprise trustworthy, with an operating system that runs the agents, governs the agents and compounds value from day one. Deliverance AI is the Agentic Operating System for the enterprise: a pre-built agentic workforce, a governed runtime and a forward-deployed engineering team, delivered as one platform. The platform runs across hyperscale cloud, neocloud, sovereign private cloud, on-premise and air-gapped deployments. Headquartered in London, Deliverance AI serves customers worldwide. For more information, visit www.deliverance.ai.

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SOURCE Deliverance AI

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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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