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Biodock Inc. Tech Stack

AI platform automating microscopy image analysis for pharma research

Biotechnology Research Austin, Texas 2–10 employees Founded 2020 Privately Held
biodock.ai LinkedIn

Biodock automates microscopy image analysis using Python, PyTorch, and OpenCV—compressing work that takes pharmaceutical scientists thousands of hours into minutes. The stack reveals a deep ML engineering focus: PyTorch for model training, OpenCV and scikit-image for image processing, and serverless AWS infrastructure for scalable inference. The organization is engineering-heavy (4 engineers, 1 data scientist across 6 total roles) and actively shipping deployment pipelines and batch processing systems, suggesting maturity beyond prototype stage.

Tech Stack 19 technologies

Core StackPython NumPy PyTorch React TypeScript MongoDB Node.js Docker Terraform Redis AWS Apollo GraphQL Serverless OpenCV scikit-image matplotlib Jupyter AWS SQS WebGL

What Biodock Inc. Is Building

◆Challenges

  • Scalable ai image processing backend
  • Efficient ml data flow
  • Deployment pipeline optimization
  • Improving labeling quality

▲Active Projects

  • Backend services for ai and image processing
  • Scalable python services for model inference
  • Deployment pipeline optimization for ml models
  • Batch jobs for image processing
  • Ml deployment pipelines
  • Build use case examples
  • Expand documentation
  • Dynamic analysis methods in the cloud
  • Ai and image processing pipelines integration

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering
4
Data
1

Seniority

Mid
3
Manager
1
Senior
1
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About Biodock Inc.

Biodock builds a cloud AI platform that automates microscopy image analysis for pharmaceutical research teams. The product ingests microscopy images and applies machine-learning models to extract insights that would otherwise require manual labor. The company was founded in 2020 and operates as a privately held startup from Austin, Texas with a small, focused team. Current engineering roadmap centers on scalability of the inference backend, optimization of ML data pipelines, and improving the quality of training data through better labeling workflows.

HeadquartersAustin, Texas
Company Size2–10 employees
Founded2020
Hiring MarketsTajikistan, Azerbaijan, Kyrgyzstan, Uzbekistan, Kazakhstan

Frequently Asked Questions

What tech stack does Biodock use?

Python, PyTorch, NumPy for ML; OpenCV and scikit-image for image processing; React and TypeScript for frontend; Node.js and MongoDB for backend; Docker and Terraform for infrastructure; AWS (Serverless, SQS) for compute.

What is Biodock working on?

Scalable Python inference services, ML deployment pipeline optimization, batch image processing systems, cloud-native analysis methods, and expanded documentation and use-case examples.

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How this profile is built

Biodock Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.