Ginkgo Bioworks provides autonomous laboratory platforms that replace manual bench work with robotic execution of experiments. Scientists can order experiments in natural language via a cloud interface, while the system handles liquid handling, incubation, and data capture, and offers on‑demand biological datasets and AI/ML models through its Datapoints service. The solution enables biotech, pharma, and agriculture companies to run high‑throughput, repeatable bioengineering workflows at scale.
Funding
Funding not disclosed
+4Founders
Product
Problem
Biotechnology research relies heavily on manual bench work, creating a bottleneck that slows the development of new materials, medicines, and agricultural solutions. Limited access to high‑throughput, automated experimentation hampers productivity and increases time‑to‑market for synthetic biology projects.
Solution
Ginkgo Bioworks offers autonomous laboratory platforms that replace manual bench work with robotic execution of experiments. Scientists can request experiments in natural language, and the system schedules, runs, and records the work on their behalf. The platform provides a cloud‑based interface for designing, monitoring, and analyzing experiments, while the underlying hardware automates liquid handling, incubation, and data capture. Ginkgo also supplies on‑demand data and AI/ML models through its Datapoints service, enabling rapid iteration and insight generation. By leveraging a $2 billion investment in R&D infrastructure, the company supports over 130 customers across biopharma, agriculture, and industrial biotech, delivering scalable, repeatable bioengineering workflows.
Target Audience
Primary customers are biotechnology companies, pharmaceutical developers, and agricultural firms that require high‑throughput synthetic biology experimentation and data services.
Features
- Fully automated robotic lab that executes protocols without human intervention
- Natural‑language experiment ordering interface that translates user requests into executable workflows
- Integrated data capture and cloud analytics pipeline for real‑time monitoring and result storage
- On‑demand Datapoints service providing large‑scale biological datasets and AI/ML models
- Scalable infrastructure supporting diverse applications from gene therapy to crop engineering
- Secure, cloud‑based collaboration tools for multi‑site project management