Why we built Exergy Lab
Typical AI models will give you a confident answer even if it's wrong. Exergy Lab is built so that never happens. It checks the physics, states the assumptions, and won't make a claim that the evidence can't support.
The problem we're solving
The information you need rarely arrives clean. It's PDFs, vendor claims, sensor exports, rough assumptions, and half-finished models. The job isn't just analysis. It's making sense of all of it without inventing the missing parts.
We wanted one place to bring messy inputs and a hard question, and leave with a clear answer. A workspace that reads your files, runs the numbers, and stays honest about where the evidence stops.
Pull out the real signals, separate facts from guesses, and flag what's missing
Run the numbers against your assumptions and the physics
A clear memo that tells you what to do next
Our approach
Evidence first
It starts with what's actually in front of it — your files, your data, your assumptions. And it always knows the difference between a measured fact, an estimate, and a claim that still needs proof.
The physics has to add up
Real engineering is heat, work, mass, and constraint — not a market category. Exergy Lab keeps the physics in the loop, so the numbers have to hold up before they reach you.
Honest about the limits
It won't make every answer sound finished. It tells you what the evidence supports, what it doesn't, and where the margin is — so you know what to trust and what to check.
Built for serious work
It's for people whose next decision has real consequences — founders, engineers, researchers, investors, and operators who need more than a confident guess.
Core capabilities
Reads your files
Upload the messy stuff you already have — datasheets, PDFs, CSVs, notes. It pulls out the real structure: the signals, the claims, the assumptions, and the gaps.
Example: drop in a spec sheet and a line of context. Ask for the key parameters, the claims worth checking, and the next step.
Runs the numbers
When the data allows, it does the calculations, states its assumptions, builds the model, and gives you a result you can check — not a black box.
Example: ask which assumptions matter most. It runs the sensitivity analysis and shows you.
Works across deep tech
One analyst across hardware, materials, processes, electronics, energy, and infrastructure — grounded in the physics of each.
Example: a battery cathode, a chip process, an aerospace part, or a brand-new idea — same workspace.
Turns work into artifacts
It gathers context, asks the right follow-ups, and turns the work into briefs, charts, models, and comparisons your team can use.
Example: ask for a memo, a measurement plan, a model, an edited chart, or a head-to-head with the state of the art.
A complete technical workspace
Decision briefs and working memos
Turn scattered material into a readable memo — the numbers, the assumptions, the limits, the visuals, and the questions worth asking next.
- Evidence summaries with cited values
- Assumptions stated, not hidden
- What the data supports — and what it doesn't
- Generated artifacts you can export
Charts, tables, and model surfaces
Turn data, calculations, and model outputs into visuals that are easy to read and easy to challenge.
- Charts from your actual data
- Sensitivity views
- Parameter summaries
- Side-by-side comparisons
Research and diligence support
Keep research, evidence, and diligence questions in one thread, tied to the source and the next action.
- Research framing
- Evidence checks
- Open-question lists
- Workspace memory
Everything is built in
File understanding
Read across common technical formats and turn scattered inputs into structured context.
Honest about unreadable files
Tells you when a file is fully readable, partly readable, or needs another path — before the analysis runs on bad input.
Technical reasoning
Reasons from your evidence, calculations, and the physics — not a blank prompt.
PDF extraction
Upload papers, decks, reports, and spec sheets so the first pass starts from what you already have.
Project workspace
Keep files, runs, notes, artifacts, and follow-ups connected to one project.
Exports
Create briefs, reports, and artifacts that travel outside the workspace.
First-principles lens
Brings real physics to the places where a headline number can mislead.
Plain-language limits
Surfaces missing inputs, unsupported claims, and weak assumptions in plain language.
Next-measurement plans
Turns uncertainty into a short list of the data or tests that would help most.
How Exergy Lab is different
It's a scientifically rigorous agent with built-in tools to take on the hardest physics and engineering challenges without ever overstating confidence.
Exergy Lab
- Grounded in real physics and engineering calculations
- States assumptions and confidence limits explicitly
- Available instantly — no waiting
- Produces exportable documents, charts and artifacts
- Built specifically for deep-tech and engineering domains
- Costs a fraction of a formal review
- Real-time Voice Agent that answers questions in real time
ChatGPT / Claude
- Grounded in real physics and engineering calculations
- States assumptions and confidence limits explicitly
- Available instantly — no waiting
- Produces exportable documents, charts and artifacts
- Built specifically for deep-tech and engineering domains
- Costs a fraction of a formal review
- Real-time Voice Agent that answers questions in real time
Engineering Firms
- Grounded in real physics and engineering calculations
- States assumptions and confidence limits explicitly
- Available instantly — no waiting
- Produces exportable documents, charts and artifacts
- Built specifically for deep-tech and engineering domains
- Costs a fraction of a formal review
- Real-time Voice Agent that answers questions in real time