ZEDA.
APPLIED WORK
Zeda designs, builds and ships AI and data systems for the life sciences. From medical imaging to genomics pipelines, from custom models to data platforms, you work with one team. Discovery, modeling, validation and handover are parts of the same engagement.
PROJECT-BASED · EMBEDDED · STRATEGY AND AUDITSSegmentation, detection and measurement in MRI, CT and pathology. From tumor delineation to organ volumetry; models tuned for small clinical datasets, with known behavior on known data.
End-to-end pipelines for EEG, ECG and EMG: artifact removal, feature extraction, event detection. Wearable recordings and clinical signals pass the same quality-control standard.
Automatic sleep staging, spindle and slow-wave detection; extraction of replay windows critical for memory research. From PSG recordings to analysis-ready results suitable for expert review.
Preprocessing, registration and quality control for fMRI, DWI and fUS. From raw DICOM to analysis-ready datasets; every step versioned and reproducible.
We turn model output into screens clinicians and researchers actually use. A score alone is not enough: it arrives with its rationale, confidence interval and source data.
Variant calling, annotation and clinical interpretation; reproducible, versioned workflows from raw reads to reports. A new sample produces the same result the same way.
Multi-omics integration and feature selection to surface signals that genuinely predict an outcome. Not just significant correlations, but candidates validated on independent data.
scRNA-seq and spatial transcriptomics: from raw counts to annotated cell states, differentiation trajectories and spatial analysis within tissue.
Biological age models and longevity biomarkers. Trained on longitudinal cohorts, separately validated on data from other centers; built for intervention tracking, not age guessing.
Phenotyping, subgroup discovery and statistical modeling in cohorts of thousands. A shared layer that carries biobank data from publishable analysis to product decisions.
From predictive coding to spiking networks; models designed around your data, latency and cost constraints. Where an off-the-shelf API falls short, we solve the problem with your data.
Shared latent spaces across signals, models and behavior. Whether two systems mean the same thing becomes measurable; a research goal turns into an engineering output.
Pipelines, storage and compute at biotech scale. Data contracts, schema management and cost tracking from day one; the system holds together as the lab grows.
Retrieval systems over scientific literature and your internal documents. Answers with citations, not guesses; every claim links to a clickable source.
Living dashboards where researchers and management see the same data; well-documented APIs that talk to your existing systems. Results no longer get lost in email attachments.
Benchmarking, reproducibility audits and deployment for regulated, auditable environments. Performance is monitored in production; drift raises an alarm.
The technical side of working with sensitive health data: access control, anonymization, data residency and audit trails. GDPR and local requirements are built into the architecture from the start.
Where AI genuinely pays off in your field, and where it burns budget. An honest map before commitment; if you have an existing system, a concrete roadmap through code and model review.
We look at your data, goals and constraints. Within two weeks you hear clearly what is solvable and what is not.
Deliverables, success criteria and architecture become written. Surprise invoices and vague scope are eliminated at this stage.
We build in short cycles and measure on your data at every step. Validation happens in your field, not on our test set.
We deliver with deployment, monitoring and documentation. Code, models and operational knowledge stay with you; we can stay alongside.
Most work starts with a short, honest conversation about what is actually solvable. Tell us about your data and your goal; we come back within a week with a proposal for scope, timeline and approach.