AI chemistry quality
Review prompts, outputs, evaluations, rubrics, and scientific failure modes so model performance reflects chemistry rather than surface fluency.
Chemistry systems consulting
When chemistry is
the hard part.
NewChem™ helps AI, software, and R&D teams make the chemical reasoning correct, the data defensible, and the workflow usable after the handoff.
PhDorganic chemistry depth
Hands-onprincipal-led engagements
Cross-teamchemistry translated into systems
Handoffdecisions your team can run
01 / CAPABILITIES
Where NewChem™ enters
Four ways to remove chemical uncertainty.
Reasoning · evaluation · reliability
Dataset and annotation audits
Find chemically invalid records, ambiguous labels, broken assumptions, and workflow artifacts before they become model behavior.
Synthetic route and method support
Interrogate routes, conditions, mechanisms, and experimental risk for difficult organic chemistry decisions.
Workflow architecture
Translate scientific judgment into maintainable tools, review gates, and operating logic that chemistry and software teams can both use.
02 / ENGAGEMENT
How the work moves
Find the expensive mistake first.
- 01
Frame
Define the decision, the evidence available, and what failure would cost.
- 02
Interrogate
Test the chemical assumptions, data lineage, and existing system behavior.
- 03
Build
Repair the reasoning, redesign the workflow, or implement the missing piece.
- 04
Transfer
Deliver clear artifacts, decision logic, and a system your team can keep operating.
03 / FIT
Good reasons to call
The chemistry is central, and guessing is getting expensive.
AI teams that need real chemical ground truth.
R&D groups moving from expert practice to repeatable systems.
Software teams building for chemists without a chemist in the room.
Leaders facing a scientific decision that deserves an independent read.
Start with the real problem
Bring the chemistry
you cannot fake.
A useful first note includes the decision you face, the evidence you have, and the consequence of getting it wrong.