Veraxa
Veraxa ingests experimental data and validates it against the design Praxis produced and the methodology consensus Lumen extracted. It checks that what was collected matches what was planned before any analysis proceeds.
Inputs
- Experimental data (sequencing, assay, tabular)
- Design record from Praxis
- Methodology consensus from Lumen
Outputs
- Validation report against design and methodology
- Structured, validated dataset with provenance
- Discrepancy flags with specific resolution guidance
How the AI suggests, and where you decide
Veraxa flags discrepancies between collected data and the registered design. It does not silently correct data; it surfaces the conflict for the researcher to resolve.
Citation grounding
Validation rules trace to the methodology consensus and the design record. Every flag references the specific expectation it failed.
Downstream connections
For the technical reader
Technical details
- Schema and methodology validation against the persisted Praxis design.
- Reference checks against Ensembl, UniProt, SILVA, and Greengenes where applicable.
- Validated datasets carry forward full provenance to Nexora.
Researchers, Clinical research, Pharma enterprise. The decision-support boundary is surfaced consistently: the platform suggests; the user decides.
Each capability is one link in the closed loop. See the whole chain end to end.