Halmos Labs
Halmos Labs provides a computational research system that automates deductive analysis for biological R&D, running alternative assumptions and methods in parallel to compute the full space of defensible conclusions. The platform verifies work for logical consistency, surfaces ungrounded assumptions for human review, and designs experiments that are most informative across all parallel analytical worlds. It is demonstrated on an autonomous mRNA vaccine pipeline that runs from genomic analysis to a manufacturable construct without human selection of candidates, codons, or gates.
- Biotechnology
- Drug Discovery & Therapeutics
- Data & Analytics
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Biological research is still analyzed by hand: scientists read literature, choose a normalization, run simulations, and decide what results mean—a process that forces teams to commit to single conclusions, models, and heuristics. This leads to premature conclusions, poorly designed experiments, and results that do not reproduce, costing years and capital on targets the wet lab could have ruled out early.
Solution
Halmos provides a computational research system that automates deductive analysis, running alternative assumptions and methods in parallel where a person would have to pick one. The system verifies work to be logically consistent and surfaces ungrounded assumptions for human review, so researchers stay in control. Rather than treating a hypothesis as refuted or supported, Halmos computes the distribution of conclusions it could support—the whole space of defensible answers across methods and assumptions—and designs experiments that gain the most information across all parallel worlds at once. The platform is demonstrated on an autonomous mRNA vaccine pipeline that runs five phases from genomic analysis to a manufacturable construct without human selection of candidates, codons, or gates.
Target Audience
Primary users are research teams in drug discovery, process optimization, bioengineering, medicine, and food tech who need to design informative experiments and evaluate hypotheses systematically, including applications such as personalized mRNA vaccine design for cancer patients.
Features
- Runs alternative assumptions and methods in parallel, sampling over method decisions to compute the full space of defensible conclusions
- Automatically verifies deductive work for logical consistency and surfaces every assumption and inductive step for human review
- End-to-end autonomous mRNA vaccine pipeline covering somatic variant calling, epitope ranking, reverse translation, codon optimization, in-silico folding, and manufacturing hazard scans
- Library of specialized biological tools integrated into multi-phase pipelines with benchmarked accuracy compared against literature comparators
- Handles biological complexities such as N1-methylpseudouridine modifications, domain shifts, and extrapolation warnings with explicit flagging