MIBTY

CELLS

Biotechnology innovation

Software, models, and data infrastructure for life-science teams — diagnostics, omics, lab informatics — built with researchers, not at them.

Book a consultationComputation that respects biology.

The problem

Biology breaks software's favorite assumptions: data is messy, biased, expensive, and ethically constrained. Off-the-shelf tools don't survive contact with it.

MIBTY builds with biotech, healthtech, and academic teams to ship systems that hold up in the wet lab, the clinic, and the regulator's hands.

Workflow

  1. 01

    Embed

    We sit with the scientists. The interesting variables aren't in the spec.

  2. 02

    Pipeline

    Reproducible data pipelines first — Nextflow / Snakemake — because every downstream model is downstream of the pipeline's integrity.

  3. 03

    Model with bounds

    Models with explicit uncertainty, validation across cohorts, and refusal modes for out-of-distribution inputs.

  4. 04

    Hand-off

    Documentation, audit trails, and a clinician/scientist-facing UI that someone who didn't build it can actually use.

Benefits

  • Reproducibility, audited

    Every run versioned: data, code, environment, parameters. Replays in one command.

  • Validation across cohorts

    Performance reported per subgroup before per-population. We don't hide model failure modes in averages.

  • Built for regulators

    Documentation aligned with FDA Pre-Cert / CE-IVDR / GxP from the start, not retrofitted at submission.

Technologies

  • Nextflow
  • Snakemake
  • PyTorch
  • scikit-learn
  • HuggingFace
  • DVC
  • AnnData / Scanpy
  • BioPython
  • FHIR
  • DICOM
  • OMOP-CDM
  • Postgres

Industries served

  • Hospitals
  • Pharma
  • Diagnostics
  • Universities
  • Biotech startups

Frequent questions

  • Do you handle clinical data?

    Yes, under HIPAA / NDPR / GDPR depending on jurisdiction. Data residency and processing addenda are part of the engagement scope.

  • Can MIBTY support a regulatory submission?

    We build the technical documentation, validation reports, and traceability matrices. Regulatory strategy stays with your QA/RA team or partner consultancy.

  • What domains have you worked in?

    Diagnostic imaging, single-cell omics, EHR-driven decision support, and nanopore-based detection. Ask us about specifics under NDA.