Principal Chemistry Systems Consultant & Infrastructure Architect for AI and R&D teams.
We help teams make technically correct chemistry decisions under real-world delivery constraints, from synthetic planning to AI workflow quality.
Scoped, implementation-ready engagements led by Dr. Josiah Newton (That Chemist).
Services
Synthetic route and method support
Support synthetic planning and method development for complex organic chemistry problems.
AI chemistry quality review
Review prompt, rubric, SFT, and RLHF chemistry workflows for technical correctness and reliability.
Dataset and annotation audits
Audit chemistry datasets and annotation pipelines to improve model-ready data quality.
Workflow architecture and translation
Design reproducible chemistry workflows and translate between chemistry and software teams.
How we work
Every engagement starts by scoping the highest-risk chemistry decisions and defining delivery constraints. We then audit assumptions, redesign or implement the workflow, and hand off clear artifacts your team can run.
Engagement flow
- Scope the highest-risk chemistry decisions
- Audit assumptions in prompts, data, or workflows
- Implement or redesign workflow components
- Deliver handoff artifacts and decision logic
Ideal partners
AI labs
Teams building molecular models who need rigorous chemical ground truth.
Biotech
Organizations working in discovery, screening, or synthesis automation.
Energy & electrochemistry
Teams designing battery or redox-flow systems with complex chemistry data.