Through AI Agents and customized LLMs, Neoview goes beyond software deployment — empowering teams to break free from repetitive coordination tasks and redirecting talent toward higher-value work to build a highly efficient and transparent enterprise environment.
An enterprise-exclusive large language model compliant with ISO 27001. All data is stored on your internal AI Server — confidential information never leaves your organization.
Break down information silos with a unified LLM knowledge base that integrates cross-departmental data, automates SOP optimization, and proactively surfaces process improvement recommendations.
Accelerate AIoT product intelligence transformation across all deployment environments. Covers eight major application domains including smart industrial control, healthcare, automotive, and defense.
Deploy AI Agents to handle repetitive internal tasks, freeing senior talent to focus on creative and strategic work — dramatically improving overall organizational performance.
Despite the rapid maturity of AI technology,enterprises still confront three core barriers during practical deployment — leaving many AI projects stuck at the PoC stage and unable to reach commercial deployment.
Hardware engineers and model designers lack a shared language. Misalignment in specifications, performance expectations, and development pace leads to repeated rework and missed delivery timelines.
Traditional AI models are too large to run on cost-effective MCUs. Enterprises deploying edge AI are often forced into expensive hardware, severely limiting commercial viability.
Cloud-based computing introduces data security risks and response latency. In sensitive environments such as healthcare, industrial control, and defense, sending data to the cloud is simply not an option.
Fully compliant with GDPR, ISO 27001, and AI governance frameworks — meeting the stringent requirements of finance, healthcare, government, and other highly regulated industries. Entirely on-premises, no cloud required.
Software-defined computing power technology dramatically improves hardware resource utilization — boosting inference speed and reducing per-inference operational costs without additional hardware investment.
Compared to ongoing cloud API subscription fees, on-premises enterprise AI Server deployments deliver significantly lower TCO at scale — and remain immune to third-party pricing changes.
With all data localized on internal AI servers, confidential information never leaves the organization. Enterprise-grade privacy architecture lets you enjoy the benefits of AI without compromising data sovereignty.
Break down information silos and eliminate cross-departmental data gaps. A unified LLM knowledge base makes information flow transparent, cross-team collaboration smoother, and management decisions more data-driven — significantly reducing communication overhead.
AI continuously analyzes workflows and execution data to proactively recommend process improvements. Automate repetitive tasks and continuously refine cross-departmental SOPs — driving measurable gains in organizational efficiency and output per person.
Accelerate AIoT product intelligence transformation across diverse deployment environments, spanning eight major application domains including smart industrial control, healthcare, automotive, and defense.
Two engagement models tailored to organizational capabilities and development timelines — flexibly accommodating AI adoption at any enterprise scale.
Engineered for organizations with internal development capabilities or those seeking strategic technical collaboration. Neoview provides production-ready platform tools and expert advisory services while clients retain full development ownership — the fastest, most cost-effective way to launch AI applications.
Featuring custom model training and end-to-end firmware development handled entirely by Neoview — a comprehensive turnkey service that significantly accelerates time-to-market (TTM). Ideal for enterprises that need to deploy AI quickly.
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