AI Hardware & Software Integration
Integrate artificial intelligence with hardware and software to create a new generation of intelligent products, endowing devices with learning, perception and decision-making capabilities.
AI + Hardware
Make Devices Smarter
We Solve Problems Systematically and Deliver Practical Intelligence with a Geek Spirit
We Solve Problems Systematically and Deliver Practical Intelligence with a Geek Spirit
Intelligent Recognition
Powered by AI algorithms, GeekBeat equips devices with "perceptual capabilities" to enable multi-modal interactions including image recognition, speech recognition and motion capture. Whether it is for security monitoring, retail checkout or production inspection, the system can complete recognition and feedback in milliseconds. We empower smart hardware to truly gain the ability to "understand the world", creating a more natural connection for human-machine collaboration.
Edge Computing
By deploying AI models on the device side, GeekBeat endows hardware with local computing and decision-making capabilities. Real-time responses are achievable without relying on the cloud, effectively reducing latency and bandwidth consumption. In environments with limited network access or sensitive data, the edge computing architecture enables enterprises to maintain efficient operations and deliver a stable, secure, and low-latency intelligent experience.
Predictive Analytics & Self-Learning
We enable AI to do more than just execute tasks—it can also learn and optimize itself. Through continuous accumulation of behavioral data and usage habits, the system can proactively predict user needs and scenario changes. This endows smart hardware with self-learning and evolutionary capabilities, making every interaction more accurate and efficient than the last.
Industry Implementation
GeekBeat widely applies its integrated AI hardware and software capabilities to industries such as healthcare, retail, manufacturing, and education. We design exclusive algorithm-hardware combinations tailored to diverse scenarios, enabling full-process intelligence spanning recognition, control, and analytics. This empowers AI to move beyond the lab and evolve into a core driver for industrial upgrading and business innovation.
我们的软件定制开发流程
需求分析
深入了解客户业务与目标，明确核心功能与实施路径。 结合行业趋势与竞争格局，确保项目方向精准落地。
参与角色
立即咨询架构设计
根据项目规模与性能需求，制定高可扩展的系统架构。 选择合适的技术栈与框架，兼顾安全性、稳定性与维护成本。
参与角色
立即咨询体验设计
以用户为中心，设计简洁高效的界面与交互流程。 通过视觉统一与信息分层，提升品牌形象与使用体验。
参与角色
立即咨询系统开发
高标准实现前端与后端功能模块，构建安全、稳定、可扩展的整体系统。 前端确保视觉与交互一致性，后端保障数据流转与业务逻辑高效协同。
参与角色
立即咨询测试验收
执行全流程功能、性能与安全测试，及时发现并修复潜在问题。 确保产品在上线前达到最佳的稳定性与质量标准。
参与角色
立即咨询部署上线
依据项目部署计划进行环境搭建、代码发布与安全验证。 确保系统稳定上线，并完成性能监控、数据初始化与运行校验。
参与角色
立即咨询运维优化
上线后提供持续运维、性能监控与功能迭代支持。 定期优化系统表现，确保业务长期高效运行。
参与角色
立即咨询
Do You Support Remote OTA Upgrades?
Yes. We provide a complete OTA upgrade solution that enables remote delivery of firmware, system, and application updates. The upgrade process incorporates version management, rollback protection, and security encryption mechanisms to ensure safe and stable device updates with zero disruption to user experience.
Which AI Chips and Frameworks Do You Support?
We support all mainstream chip platforms, including NVIDIA, Rockchip, Huawei Ascend, Rockchip, and ESP32. In terms of frameworks, we are compatible with TensorFlow, PyTorch, ONNX, OpenVINO, and more. We can deliver optimal combinations tailored to project requirements, balancing performance and cost efficiency.
Does AI Hardware Development Need to Start from Scratch?
What Is the Typical Development Cycle for Intelligent Hardware Software?
The timeline is subject to project complexity. Regular hardware control projects can be completed within 1–2 months, while projects involving AI functions or multi-terminal adaptation typically take 3–6 months. Prior to project initiation, we will evaluate the scope of functions, provide a clear timeline and delivery milestones, and ensure a transparent and well-controlled process.
What Is the Development Process for Customized Intelligent Systems?
It is typically divided into five phases: Requirements Analysis → Solution Design → Hardware/Software Joint Debugging → Functional Testing → Launch & Delivery. Each phase includes review checkpoints and version validation to ensure clear requirements and full-functionality. We maintain consistent communication throughout the process, keeping clients informed of progress and potential risks.
Can You Provide Long-Term Operation and Maintenance and SLA Support?
Yes. We provide long-term operation and maintenance (O&M) and SLA services, including system monitoring, remote maintenance, log analysis, and fault response. We support monthly or annual service models to ensure the continuous and stable operation of your products after launch, with no disruption to your business caused by technical maintenance.
