Scientific data for models that do real research.
Scientific models fail on detail: a wrong stereocenter, an impossible reaction condition, a protocol step out of order. The fix is data written and checked by people who do the work.
Life sciences, with proof.
Life sciences teams use language and multimodal models to read literature, propose experiments, plan syntheses and interpret results. These tasks reward precision and punish plausibility. A model that names a reasonable-sounding reagent that does not work, or skips a wash step, costs a week at the bench. HUMXN commissions credential-checked chemists, pharmacologists, biologists and clinicians to write reasoning traces, reference answers and protocol data to your specification, and to grade model output against a rubric. You define the scientific scope. We deliver a pilot batch first.
Much of the most useful scientific knowledge sits in practice rather than in papers: why a purification failed, which assay conditions are fragile, how to read an ambiguous spectrum. Our experts write that tacit reasoning down in structured form. Graded answers record which expert made each call, labels are marked by source, and contested items go to a second reviewer. Held-out question sets are written for you and fingerprinted at intake, so you can evaluate scientific reasoning without worrying the questions were already in pre-training.
Scientific data carries its own rights questions. Figures, protocols and datasets from the catalogue carry their AI-training permission and licence terms, and the human-origin record shows whether each work was human-created, AI-assisted or AI-generated. Documents and tables are scanned for personal data and masked before delivery. Every item has an Ed25519-signed provenance record and a hash-chained audit entry, which supports the data documentation your quality and regulatory teams maintain. It does not replace their own GxP or regulatory assessment.
Built to your specification.
Every engagement starts from a written spec and a pilot batch. These are the most common requests we source for life sciences.
Scientific reasoning traces
Step-by-step solutions in organic chemistry, pharmacology, molecular biology and biostatistics, written by working scientists to your rubric.
Protocol and procedure data
Expert-written experimental protocols, with ordered steps, conditions and failure notes, for models that plan or automate lab work.
Graded scientific answers
Rubric-based grading of model output for correctness, feasibility and safety, with written rationales from the relevant specialist.
Literature extraction labels
Structured extraction from papers and tables, such as entities, conditions and results, labeled and reviewed by domain experts.
Molecular and structural assets
3D structures and models in standard 3D formats with expert annotation, where your pipeline needs geometry alongside text.
Held-out science benchmarks
Exclusive, never-published question sets in your target fields, written to test reasoning rather than recall of public material.
01Plausible but wrong
Scientific text generated without expertise reads well and fails at the bench. Specialist grading catches errors a generalist rater cannot.
02Tacit knowledge
The reasons experiments fail rarely reach print. Expert-written protocol data captures practice that public corpora miss.
03Contaminated evaluations
Public science benchmarks leak into training. Commissioned, fingerprinted, exclusive sets keep your measurements honest.
Life sciences: asked often.
Which scientific fields can you cover?
Our network includes chemists, pharmacologists, biologists, biostatisticians and clinicians, among others. During scoping we confirm which subfields your project needs and the seniority required, such as doctoral-level medicinal chemistry. For narrow specialties we say plainly what staffing will take. Every expert is credential-checked before taking work, and the pilot batch shows the quality before volume.
Can experts write protocols without exposing our IP?
Experts write to the spec you agree with us, and the datasets you commission can be delivered under an exclusive licence so they are not offered to anyone else. Each delivered item is listed on a signed receipt by ID and hash. Confidentiality requirements for your project are discussed during scoping and set out in the agreement.
How do you check scientific accuracy?
Specialists grade against a written rubric covering correctness, feasibility and safety. Items that are difficult or disputed go to a second expert, and every label records its source: creator, AI-suggested or expert-reviewed. Human-origin checks flag AI-generated material at intake, so model-written chemistry does not slip in as expert work.
What drives the cost of life sciences data?
The main factors are specialty, required seniority, time per item, review depth and licence. A multi-step synthesis route with written rationale costs more than a short factual answer. Exclusive licences add cost; volume and standing orders reduce it. We quote after scoping, when the spec and acceptance criteria are written.
What formats do you deliver?
Text, traces and graded answers typically arrive as JSON Lines or Parquet, tables as CSV or Parquet, and 3D assets in formats such as PLY, OBJ or GLB. Croissant 1.0 metadata can describe the dataset for your catalog. Every delivery includes a signed receipt, and approved buyers can use the API.
Tell us what your model needs to learn.
Send a brief in five minutes. A data lead replies within one business day with questions and a first sourcing plan.