About Azra Analytics
Azra Analytics is a neutral IVF data exchange connecting clinics and research institutions with AI developers, device manufacturers, pharma, and academia. We transform raw, siloed imaging into de‑identified, high‑quality datasets with the context teams need to build clinically useful tools.
Outcome‑linked metadata: when available, we enrich images with lab/clinical outcomes, equipment, protocol details, and timelines.
Privacy & compliance: rigorous de‑identification, contractual controls, and auditable data handling.
Our multi‑clinic datasets enable stronger embryo viability research and protocol/device evaluation.
What We Offer
Dataset Licensing
De‑identified oocyte & embryo image datasets — morphology plus biomechanics signals — curated across clinics and devices, with optional enrichment (outcomes, protocols, equipment, timing).
Annotation & QC
Expert labeling (segmentation, structures, stages) and standardized QC pipelines to improve signal quality and inter‑clinic comparability.
Managed Data Hosting
We host the data architecture and access controls — secure storage, permissions, auditing, and delivery — so your team focuses on research and product, not infrastructure.
Biomechanics Model Subscription
Access derived mechanics features and model outputs to augment morphology‑only pipelines for viability and risk‑stratification research.
IVF Clinics
Monetize imaging via a neutral exchange; fund research and quality initiatives.
AI Developers
Train & validate with multi‑clinic data, biomechanics signals, and outcomes linkage.
Device & Pharma
Evaluate devices, protocols, and adjuvants with standardized datasets.
Academia & CROs
Access well‑documented datasets for reproducible studies and sponsored trials.
Research & Publications
While Azra is not publishing original studies at this time, we curate peer-reviewed publications demonstrating how biomechanics features, such as Brillouin-based measures of cellular mechanics, can enhance embryo selection and device evaluation when paired with morphology.
Nat Commun · 2016
Early embryo potential from a gentle mechanics check
Just hours after fertilization, how the zygote “feels” can help predict which embryos reach blastocyst. A quick, low-impact signal to use alongside standard grading.
Nature · 2019
Why extra chromosomes strain cells
Aneuploidy nudges cells into a mild “low-salt” stress. Membranes and endocytosis struggle—showing shared weak spots seen from yeast to human cells.
Interested in research discussions, dataset access, or collaboration?
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