Six disciplines. One computational company.
From raw sequencing reads to production-grade platforms, Nuclyra covers the computational stack modern life-sciences teams need — from analysis and discovery to secure scientific software.
Applied AI
Domain-specific AI and machine learning systems built around your data, scientific constraints, and real-world workflows.
Explore Applied AI BIOBioinformatics Pipeline
Reproducible bioinformatics pipelines that transform raw biological and sequencing data into analysis-ready results with consistent, traceable workflows.
Explore Bioinformatics Pipeline DISIn Silico Drug Discovery
Molecular modeling, docking, virtual screening, and computational chemistry to accelerate early-stage target validation and candidate evaluation.
Explore In Silico Drug Discovery PLSPlasmid Sequencing
Whole-plasmid verification from raw reads to an annotated, reference-checked map — confirming every construct is exactly what was designed before it goes into an experiment or a manufacturing run.
Explore Plasmid Sequencing SIDSpecies Identification
DNA-based species identification from barcoding, metabarcoding or whole-genome data — with curated reference databases, confidence-scored calls and an audit trail for every result.
Explore Species Identification WEBScientific Web Applications
Research portals, LIMS integrations, and internal scientific tools engineered around your team's workflows and data.
Explore Scientific Web ApplicationsThree ways to engage — scoped to your stage.
We don’t force every client into the same engagement model. The model follows the problem.
Fixed-Scope Project
A defined deliverable, timeline, and price — a pipeline, a platform, or an audit. Best when the outcome is clear and the timeline is fixed, such as a grant deliverable or trial milestone.
- Clear deliverable and fixed scope
- Defined timeline and milestones
- Best for grants, audits, and trials
Embedded Team
Our computational biologists and engineers integrate with your team part- or full-time, working within your existing tools, workflows, and standups.
- Dedicated scientific + engineering support
- Works within your existing workflows
- Best for ongoing programs
Ongoing Retainer
Monitoring, minor iterations, and defined response times for systems already in production. Best when a platform we built — or one you already have — needs to stay reliable.
- Production monitoring and maintenance
- Defined response times
- Best for long-term reliability
We didn’t want to be the vendor who hands back a black box. We wanted to be the team still in the room when the paper gets published.
Most engagements combine two or three of these.
A discovery program might pair In Silico Drug Discovery with Applied AI. A research platform might combine Bioinformatics Pipeline with Scientific Web Applications. We scope the combination to your goal — not the other way around.
Discovery-stage biotech
In Silico Drug Discovery + Bioinformatics Pipeline + Applied AI.
Diagnostics company
Applied AI + Scientific Web Applications.
Research consortium
Bioinformatics Pipeline + Scientific Web Applications + Applied AI.
Growth-stage biotech
Bioinformatics Pipeline + In Silico Drug Discovery + Scientific Web Applications.
See these services applied to Real engagements.
Six detailed case studies — the challenge, our approach, and the measurable results.
Not sure which service fits your project?
Tell us about your data, goals, and timeline — we’ll recommend the right combination of services for your roadmap.
