Cloud AI platform automating microscopy image analysis for pharma research
Biodock is an Austin-based startup applying deep learning to microscopy image analysis for pharmaceutical scientists. Its stack pairs a scientific Python core (PyTorch, NumPy, OpenCV, scikit-image) with a React/TypeScript and WebGL front end on AWS serverless and SQS, pointing to a queue-driven inference architecture. Open engineering and data roles concentrate on scaling model-serving backends and ML deployment pipelines, with hiring focused on Central Asia.
Biodock Inc. builds a cloud-based AI platform that automates microscopy image analysis, cutting work that typically takes scientists many hours down to minutes. Its primary users are scientists in pharmaceutical research. The company was founded in 2020, is privately held, and is headquartered in Austin, Texas, with a team of 2–10 employees. The product combines machine learning image processing with a browser-based interface delivered as software as a service.
Biodock uses Python, PyTorch, NumPy, OpenCV and scikit-image for ML and imaging, React, TypeScript, Apollo GraphQL and WebGL on the front end, and Node.js, MongoDB, Redis, Docker, Terraform and AWS serverless with SQS for infrastructure.
Biodock is headquartered in Austin, Texas, United States. It was founded in 2020 and is privately held with 2–10 employees.
Biodock's open roles, mainly mid-level engineering and data positions, are in Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan and Azerbaijan.
Other companies in the same industry, closest in size
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.