NUMEN for Higher Education
Give labs, postdocs, PhD students, PIs, and research IT governed research compute without infrastructure drag.
NUMEN scientific discovery platform
Built for scientists. Backed by IT. Powered by AI teammates.
NUMEN gives biopharma researchers fast, governed access to scientific applications, data, and compute. AI teammates help guide workflow setup, cost-aware compute selection, reproducibility, governance, and operational handoffs.
Why NUMEN
Scientific work should not stall at the infrastructure layer.
R&D teams need flexibility and speed. IT teams need control, security, governance, and predictable cost. NUMEN bridges both needs with a self-service platform built for scientific work.
NUMEN for Life Sciences Companies
Help biopharma R&D teams launch applications, control cost, govern workflows, and move faster with AI teammates.
Fast application launch
Launch scientific applications and environments from a dedicated research-compute workspace.
Governed workspaces
Align access, budget, idle-stop policies, status, and review steps in one surface.
AI-guided decisions
Ask scientific questions and receive workflow-aware recommendations instead of raw infrastructure choices.
Scientific RAG and compute recommendations
Size Scientific Compute Workloads.
NUMEN can combine retrieval-augmented guidance with workload context to recommend EC2 instance families, explain why a CPU or GPU shape fits, and adjust the recommendation for structural biology workloads such as 1M or 100K cryo-EM images processed with RELION.
EC2 recommendations
Suggests practical instance types for cryoEM, omics, notebooks, and GPU workflows based on application needs, resource profile, and cost context.
Job status and history
Answers questions such as what is running, what finished, what failed, and which workflow stage produced each output.
Runtime and performance
Summarizes job duration, longest-running steps, average runtime by job type, warnings, and performance signals from logs.
Scientific provenance
Connects inputs, outputs, dependencies, STAR files, micrograph counts, CTF estimates, and downstream jobs into a readable lineage.
Example Relion (Structural Biology) questions
I have 1M cryo-EM images to process using RELION. What cluster should I launch? How should the recommendation change for 100K cryo-EM images?
Scientist-friendly answers
The assistant can inspect job directories, run logs, STAR tables, success/failure markers, ownership, timestamps, and output files, then return an answer in scientific language.
Catalog to compute
Catalog to Compute 125+ Scientific Applications
Scientists can start from a governed catalog of predefined research applications, IDEs, pipelines, and discovery tools. NUMEN connects each selection to compute, storage, cost visibility, and launch governance.
Governance built in
Speed for researchers. Control for research operations.
NUMEN makes governance part of the flow: cost appears before launch, idle-stop choices are explicit, configurations are reviewable, and launches require confirmation.
Cost visible
Scientists and PIs see cost before compute starts.
Idle-stop required
Guardrails reduce waste from forgotten workloads.
Reviewable config
Application, compute, storage, and data choices are summarized.
Shared status
Scientists, PIs, and IT see one governed dashboard.
See NUMEN
Show us your workflow. We will show you the governed launch path.
NUMEN can support assistant-led workflows, curated catalog launches, scientific apps, HPC, omics, imaging, and AI-enabled discovery environments.