Federated computing platform for privacy-preserving AI on siloed data
Rhino Federated Computing builds a platform that lets organizations run AI and analytics on distributed data without centralizing it, spanning AWS, GCP, Azure and on-prem via Kubernetes and Terraform. Senior-weighted engineering hiring targets deployment and runtime infrastructure, while new Google Ads and LinkedIn Ads adoption plus ABM and nurture projects point to a push to shorten long, multi-stakeholder enterprise sales cycles.
Rhino Federated Computing, founded in 2021 and headquartered in Boston with an R&D center in Tel Aviv, develops the Rhino Federated Computing Platform (RhinoFCP). The platform covers compute provisioning, data preparation and harmonization, model development and monitoring, and privacy-enhancing techniques such as differential privacy. It runs across multi-cloud and on-prem hardware and supports deploying custom code and third-party applications. Its customer base centers on hospitals and biopharma, with expansion toward financial services and ecommerce. The company employs 51–200 people and hires in the United States and Israel.
Rhino runs on AWS, GCP and Azure with Kubernetes and Terraform, builds in Python (Django, Flask, FastAPI) and TypeScript/React, and uses PyTorch, TensorFlow, NVIDIA, Snowflake, BigQuery, dbt and Airflow.
Rhino Federated Computing is headquartered in Boston, Massachusetts, and operates an R&D center in Tel Aviv, Israel.
Current work includes scaling its federated computing platform, improving day-0 deployment, building runtime infrastructure and secure tunnel connectivity, and developing an AI/ML research platform.
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Rhino Federated Computing'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.