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中关村科学城城市大脑股份有限公司 Tech Stack

AI and computer vision platform for smart city infrastructure

北京, 北京 ~8 employees
cbstia.org.cn LinkedIn

中关村科学城城市大脑builds machine vision and AI systems for urban planning and smart city deployment. The tech stack is heavily weighted toward deep learning (TensorFlow, PyTorch, PaddlePaddle, Keras, Caffe) with emerging LLM integration (vLLM, Transformers, LangChain, RAG), suggesting a shift from pure vision models toward multimodal AI. The senior-heavy headcount (22 of 36) and focus on government-scale projects indicate a pre-sales and implementation-driven business model.

Tech Stack 51 technologies

Core StackTensorFlow PyTorch Python NumPy pandas scikit-learn RAG C++ Linux LangChain OpenAI OpenCV Axure RP Visio SciPy vLLM Transformers Excel SQL Pentaho Data Integration Windows Tomcat Haystack LlamaIndex LoRA RLHF PaddlePaddle Keras Caffe MXNet+21 more

What 中关村科学城城市大脑股份有限公司 Is Building

◆Challenges

  • Project cost control
  • Model lightweight optimization
  • Hardware acceleration
  • Small sample learning challenges
  • Cross-department coordination
  • 提升产品线竞争力
  • Project schedule tracking
  • Optimizing algorithm performance
  • Large-scale government project implementation
  • Data platform competitiveness

▲Active Projects

  • Productization of cloud control platform
  • Smart city planning
  • Smart city solution design
  • Machine vision platform implementation
  • Embedded system algorithm optimization
  • One-internet unified management pre-sales support
  • Sales and pre-sales team knowledge transfer
  • 机器视觉业务场景落地
  • 产品线竞争力提升计划
  • Smart city project

Hiring Activity

Minimal35 roles · 0 in 30d

Department

Engineering
16
Sales
7
Product
6
Data
3
Ops
3
Research
1

Seniority

Senior
22
Mid
12
Manager
2
Company intelligence

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About 中关村科学城城市大脑股份有限公司

中关村科学城城市大脑operates a smart city platform combining machine vision, embedded algorithms, and cloud control infrastructure for municipal and urban planning customers in China. The product roadmap spans computer vision platform implementation, smart city solution design, and cloud control platform productization. The company employs 36 people across engineering (16), sales (7), product (6), data (3), operations (3), and research (1), with majority senior and mid-level IC roles. Pain points center on model optimization (lightweight models, hardware acceleration, small-sample learning), large-scale government project execution, and algorithm performance tuning.

Headquarters北京, 北京
Company Size~8 employees
Hiring MarketsChina

Frequently Asked Questions

What AI frameworks does 中关村科学城城市大脑 use?

Primary stack includes TensorFlow, PyTorch, and PaddlePaddle for model training, with emerging LLM tooling: vLLM, Transformers, LangChain, and RAG. Also uses Keras, Caffe, and MXNet for specialized vision and embedded workloads.

What is 中关村科学城城市大脑 building?

Active projects include smart city planning and solution design, machine vision platform implementation, cloud control platform productization, embedded algorithm optimization, and large-scale government project delivery.