Platform overview
Understand the workspace, its scientific compute, and its trust model before starting your first project.
What Exergy Lab does
Exergy Lab gives an AI agent direct access to research, scientific code, domain solvers, and supported simulations. A project keeps the sources, conversation, calculations, artifacts, and review history for one technical objective in one place.
The agent can extract source facts, calculate from them, run supported simulations, research external sources, and produce an inspectable result. It states what the available information supports and what it cannot prove.
Recommended path
- 1
Create a project
Name the decision—not merely the technology—and add the operating context the agent should preserve.
- 2
Upload governing evidence
Start with the tables, reports, drawings, or notes that contain the numbers the decision actually depends on.
- 3
Define the outcome
State the question, constraints, required output, and what would make the answer unsafe to overstate.
- 4
Inspect the support
Check calculations, sources, limitations, and suggested next measurements before relying on the conclusion.
Capability map
- Workspace: projects, file extraction, adaptive analysis, saved history, artifacts, and reports.
- Science compute: property calculations and browser-based simulations for supported systems.
- Result checks: clear signals for what was checked and what still needs review.
- Company memory: encrypted organizational context that can tailor later answers for active Plus and Pro accounts.
- Voice and Vault: conversational project work and local-first document review, with plan-dependent access.
Reviewing a result
A clear answer is not always a checked one. When a separate check runs, Exergy Lab shows it so you can review the result in context.