Lab-supply procurement marketplace for life-science R&D teams
ZAGENO runs a procurement marketplace for research labs, built on a Python and Java/Spring Boot backend with Kafka, Flink and Spark for streaming data, plus scikit-learn, TensorFlow and PyTorch for ML. Current job posts point to an ML-driven commerce push: pricing optimization models, personalized recommendations and search for scientists. Hiring is accelerating, senior-weighted, split across engineering, product and data, and concentrated in India.
ZAGENO operates a procurement platform that centralizes how life-science R&D labs source, order and track research consumables and reagents. Its marketplace aggregates a very large catalog from thousands of global suppliers, giving labs one point of entry for compliant, automated purchasing with visibility into spend and delivery. The company serves labs of varying sizes and works with suppliers on order fulfillment. Founded in 2015 and headquartered in Cambridge, Massachusetts, it employs 201–500 people and has offices in Europe and Asia.
ZAGENO uses Python, Java with Spring Boot, Django, FastAPI, PostgreSQL, MongoDB, Elasticsearch, Kafka, Flink, Spark, Kubernetes and Docker across AWS, GCP and Azure, plus PyTorch, TensorFlow and scikit-learn.
Job posts point to pricing optimization models, an AI-powered recommendation system, a search and discovery platform for scientists, supplier intelligence analytics and checkout conversion experiments.
Current hiring is focused in India, mostly at senior level across engineering, product and data, and hiring velocity is accelerating.
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ZAGENO 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.