projectEureka™ | AI and simulation workspaces, organized by project

Built for workgroups and projects

AI notebooks on one stack, simulations on another, data somewhere else. projectEureka™ connects people, data, and compute in one project-centric platform so teams can ship models, sims, and research.

Project-centric Workspaces, people, and data hang off the project
AI & simulation apps Jupyter, VS Code, Linux desktop, and more
Your environment Deploy on AWS, GCP, or on-prem Kubernetes
Multi-cloud buckets Attach AWS S3 and GCP GCS to the project

How it works

Create a project, launch AI and simulation apps next to your data, keep work running in the environment.

1. Start a project Name it, set storage, invite collaborators. Everything else hangs off the project.

2. Launch apps in the browser Jupyter, VS Code, terminal, and more, with cores, RAM, and GPU visible at a glance.

3. Keep data next to the work Project storage plus external AWS and GCP buckets, under project-based security.

Virtual workstation and apps alongside your data

Secure, consistent virtual workstations

People still use laptops and desktops as clients. The heavy AI and simulation environment is a secure virtual workstation next to project data, consistent for the team.

Browser launchers for Jupyter, VS Code, OpenFOAM, desktop, and more
Work that persists after devices sleep or leave the network
Project-based organization so teams and initiatives stay separated
GPU-ready virtual desktops when teams need more than a notebook

Secure agentic work that outlasts the laptop

Run agents and long-running AI or simulation jobs in the project environment, under project access, next to the data. Supervise from a browser when you return.

Secure project environment for agent and long-job work, not only interactive notebooks
Keeps running when devices sleep or leave the network
Access from anywhere to check status and continue

How campus and labs use this → · Architecture view →

Running apps in a project workspace — Agents and apps live on the project, not only on one laptop

Deploy the environment where you need it

Run projectEureka™ on AWS, Google Cloud, or on-prem Kubernetes. Attach object storage from AWS and GCP buckets to the same project.

Environment placement: one deployment target at a time, AWS, GCP, or on-prem K8s
Multi-cloud buckets: bring AWS S3 and GCP GCS into the project workspace
Project-level security for storage and collaborators
Shared platform model for research, education, and enterprise deployments