新系统能否与现有 ERP/CRM 系统集成？
不管是云端 SaaS 版、本地部署版，还是混合架构的 ERP/CRM，极客跳动都能通过成熟的技术方案实现数据互通、流程协同。目前这个能力已经在 300 多家不同行业客户的数字化转型项目里验证过，效果都比较稳定。
AI Hardware-Software Integration
Integrating AI with hardware and software to create next-generation intelligent products, enabling devices with learning, perception, and decision-making capabilities.
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AI + Hardware
Making Devices Smarter
We solve problems systematically and bring intelligence to life with a geek spirit.
We solve problems systematically and bring intelligence to life with a geek spirit.
Intelligent Recognition
GeekDance enables devices with "perception" through AI algorithms, achieving multimodal interactions such as image recognition, speech recognition, and motion capture. Whether in security monitoring, retail checkout, or production inspection, the system can complete recognition and feedback within milliseconds. We empower smart hardware to truly "understand the world," creating more natural connections for human-machine collaboration.
Edge Computing
By deploying AI models directly on devices, GeekDance enables hardware to perform local computation and make autonomous decisions. Real-time responses are achieved without relying on the cloud, effectively reducing latency and bandwidth usage. In environments with limited connectivity or sensitive data, edge computing architecture ensures enterprises can operate efficiently, delivering a stable, secure, and low-latency intelligent experience.
Prediction & Learning
We enable AI not only to perform tasks but also to learn and optimize. By continuously accumulating behavioral data and usage patterns, the system can proactively predict user needs and changing scenarios. As a result, intelligent hardware gains the ability to self-learn and evolve, making every interaction more precise and efficient than the last.
Industry Implementation
GeekDance extensively applies its AI hardware-software integration capabilities across industries such as healthcare, retail, manufacturing, and education. We design tailored algorithms and hardware combinations for each scenario, enabling full-process intelligence from recognition and control to analysis. This ensures AI moves beyond the lab to become a core driver of industrial upgrades and business innovation.
我们的软件定制开发流程
严格遵循软件开发生命周期（SDLC），为企业打造高质量、可持续增长的定制软件解决方案。
01
需求分析
02
架构设计
03
体验设计
04
系统开发
05
测试验收
06
部署上线
07
运维优化
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Precision Customization to Drive Business Growth and Digital Transformation
企业数字化转型，应该一步到位，还是分阶段实施？
现在很多企业想做数字化转型，却怕技术复杂或投入打水漂。极客跳动，总结出关键规律：企业转型不用急着 “全盘数字化”，通过 “先解痛点、再搭体系、最后扩效果” 的分步软件开发，能少走弯路、拿实成果。
极客跳动是否支持远程 OTA 升级与运维？
极客跳动有十年企业服务经验，已搭建成熟的远程 OTA（简单说就是 “远程给设备 / 系统更更新”）和运维服务体系，帮合作客户做好后续产品全周期的远程技术支持。
Frequently Asked Questions
Frequently Asked Questions on Smart Hardware and System Integration
Do you support remote OTA (Over-the-Air) updates?
Yes. We provide a comprehensive OTA upgrade solution, allowing remote deployment of firmware, system, or application updates. The upgrade process includes version management, rollback protection, and secure encryption mechanisms to ensure safe and stable device updates without affecting user experience.
Which AI chips and frameworks do you support?
We support mainstream chip platforms, including NVIDIA, Rockchip, Huawei Ascend, Rockchip Micro, ESP32, etc. In terms of frameworks, we are compatible with TensorFlow, PyTorch, ONNX, OpenVINO, and can optimize combinations based on project requirements, balancing performance and cost.
Does AI hardware development need to start from scratch?
Not necessary. We have mature software and hardware architecture templates that can be quickly adapted to different device types. Common functionalities such as voice recognition, image detection, and edge computing can be further developed based on existing solutions, significantly reducing development time and costs.
What is the typical software development cycle for intelligent hardware?
The development cycle depends on project complexity. Standard hardware control projects can be completed within 1–2 months, while projects involving AI functionalities or multi-platform adaptation typically take 3–6 months. We assess the scope of features before project initiation and provide clear schedules and delivery milestones to ensure transparency and a controlled workflow.
What is the development process for a customized intelligent system?
Typically, the development process is divided into five stages: Requirements Analysis → Solution Design → Hardware/Software Integration → Functional Testing → Deployment & Delivery. Each stage includes review checkpoints and version validation to ensure clear requirements and complete functionality. We maintain communication throughout the process, keeping clients informed of progress and potential risks.
Can you provide long-term maintenance and SLA support?
Yes. We provide long-term maintenance and SLA support, including system monitoring, remote maintenance, log analysis, and incident response. Services can be offered on a monthly or annual basis, ensuring that products continue to run smoothly after launch without business disruption due to technical maintenance.
