The Biological
Void.
In the era of precision medicine, running a pipeline is the easy part. Every year, 1.5 million biomedical papers are published. Terabytes of omics data are generated daily. Yet, the gap between a "result" and a "discovery" remains vast.
The Risk: Standard bioinformatics facilities deliver a cemetery of heatmaps—reports that satisfy a checklist but leave the biological question unanswered. In this environment, "automated" often means "unexamined."
Decades of
Discovery.
Trust is not built by algorithms alone. It is built on twenty years of seeing how the data lies. Helder Nakaya has navigated the field from the early days of cDNA microarrays to the cutting edge of 3D spatial transcriptomics.
With a legacy of over 200 publications in top-tier journals, Hylix Insights brings the intuition of a seasoned investigator to your data.
We don't just run pipelines; we provide scientific guardianship.
Scientific AI,
Supervised.
The Hylix Insight Platform integrates artificial intelligence with systems biology. Our AI agents automate the integration of genomic, proteomic, and clinical layers, but they operate under constant expert supervision.
We transform noise into actionable hypotheses for mechanistic studies—ensuring every insight is grounded in biological reality.
From Data to Decisions.
Making multi‑omics usable.
We integrate heterogeneous omics layers with machine learning into a single analytical framework, reducing fragmentation and enabling models that can be interpreted, stress tested, and reused across projects.
Resolving complexity in space and time.
We analyze single cell and spatial data to reconstruct cellular states, interactions, and transitions, allowing dynamic biological processes to be studied rather than inferred from averages.
Translating molecular signals into stratification.
We apply precision medicine approaches across infectious, inflammatory, oncologic, and rare diseases, focusing on patient stratification, prognosis, and response rather than disease specific pipelines.
Understanding why a signal exists.
We move beyond differential expression by connecting omics results to pathways, networks, and causal hypotheses that can guide experimental validation and follow up studies.
Identifying intervention points that matter.
Using systems biology, we identify druggable nodes within regulatory networks, prioritizing targets based on robustness, context, and downstream impact rather than isolated effects.
Software designed for real teams.
We develop custom computational tools with clear interfaces and documentation, designed for scientists and clinicians, with long term maintenance and handover built into the process.
Long term collaborations across academia, hospitals, and industry.
Let's find the signal.
Stop drowning in data. Start discovering mechanisms.