Services
From raw biological data to production-ready software, we design and deliver bioinformatics pipelines, AI-driven analysis, and scientific applications for research, biotech, and diagnostic teams. Each engagement is scoped clearly, documented properly, and delivered to a high technical standard.
Bioinformatics Analysis & Pipeline Development
From raw sequencing data to publication-ready results, we design and implement robust, reproducible bioinformatics pipelines tailored to your specific research questions.
Best for: Research labs, academic groups, and biotech teams with sequencing data that needs rigorous, reproducible analysis.
Includes
- Whole-genome, exome, targeted sequencing, and GWAS analysis
- RNA-seq, single-cell RNA-seq, spatial transcriptomics
- Metagenomics & microbiome profiling
- Multi-omics data integration (genomics, proteomics, metabolomics)
- Statistical analysis and scripting in R / Bioconductor (DESeq2, edgeR, limma, Seurat)
- Pipeline development with Nextflow, Snakemake, or WDL
- Cloud-compatible (AWS, GCP) and HPC deployment
AI & Machine Learning for Biology
We build and validate machine learning models that translate complex biological data into actionable insights — from disease prediction to drug target identification.
Best for: Teams with biological or clinical datasets seeking predictive models, biomarker discovery, or risk stratification.
Includes
- Biomarker discovery and predictive model development
- Deep learning for genomics, proteomics, and pathology
- NLP for biomedical literature and clinical notes
- Survival analysis and risk stratification models
- Model validation, benchmarking, and interpretability
- Integration with clinical databases (TCGA, GEO, MIMIC)
Diagnostic Tool Development
We develop diagnostic software that bridges laboratory data and clinical decision-making, designed for reliability, regulatory awareness, and scientific accuracy.
Best for: Diagnostic developers, hospital labs, and healthtech teams building clinical-grade variant or biomarker reporting tools.
Includes
- Clinical variant interpretation and annotation tools
- Laboratory information and reporting systems
- Decision-support dashboards for clinicians and researchers
- Integration with LIMS, EHR, and diagnostic instruments
- Standards-compliant data handling (HL7 FHIR, VCF, DICOM)
- Data visualization for complex diagnostic results
Not sure which service fits your project?
Describe your challenge and we'll suggest the right approach — no commitment required.
Talk to UsScientific Software & App Development
We design and build custom software that fits the way scientists work — from lightweight data-entry tools to full-featured research platforms.
Best for: Researchers and biotech companies that need custom web apps, dashboards, or data management tools built to scientific standards.
Includes
- Web applications and R Shiny tools for research data management
- Interactive data visualization and exploration tools
- R scripts and Python packages for custom analysis workflows
- RESTful and GraphQL APIs for biological data
- Database architecture for genomic and clinical data
- Secure, scalable deployment on cloud infrastructure
Scientific Workflow Automation
Manual steps in biological data workflows cost time and introduce errors. We design automation solutions that connect your instruments, software, and databases into seamless, reliable processes.
Best for: Labs spending significant time on manual data-transfer, reporting, or instrument hand-offs that could be automated.
Includes
- Laboratory workflow automation and scheduling
- Instrument and LIMS integration
- Automated reporting and notification systems
- Data ETL pipelines for biological datasets
- Cloud-based job orchestration and scheduling
- Monitoring and alerting for long-running analyses
Research & Technical Consulting
Sometimes you need an expert second opinion before committing to an analytical approach or technology stack. We provide independent, practical consultation — from study design through to results interpretation — grounded in scientific rigor.
Best for: Teams at a decision point — choosing an analytical approach, interpreting complex results, evaluating a technology stack, or reviewing an existing pipeline.
Includes
- Bioinformatics strategy and study design review
- Results interpretation and analytical second opinion
- Technology stack selection for life science software
- Data architecture and governance planning
- Pipeline benchmarking and performance review
- Scientific writing and methods documentation support
- Short-term embedded expert engagements
What Sets Our Work Apart
Combining active research expertise with software engineering is rare — we apply peer-reviewed methods and build to production standards, not just one or the other.
EU-based, GDPR-aware delivery
Registered in Estonia under EU law. Your data is handled to GDPR standards by default — not as an add-on.
Research-grade methods, production-ready code
We apply peer-reviewed analytical methods and build to software engineering standards — the two rarely come together.
Spanning biology, bioinformatics, and software
Our founders work across translational medicine, epigenomics, AI, and scientific software — covering the full problem space.
Reproducible, documented outputs you can use
Everything delivered is version-controlled, tested, and documented. You own it, you can re-run it, and you can hand it on.
We can act as an external bioinformatics partner for research groups, startups, and biotech teams without in-house bioinformatics or scientific software expertise — supporting your projects on a one-time basis or as an ongoing resource.
A Typical Project Looks Like This
From first contact to final delivery — for a standard project-based engagement.
Initial enquiry
You describe your data and goals — by email or a 30-min call.
Written proposal
We send a scoped proposal with approach, deliverables, timeline, and price.
Kick-off & data transfer
Secure data handover, alignment on priorities, and project start.
Delivery & review
Reproducible results delivered in agreed format — code, reports, software, or all three.
Handover & support
Documentation, walkthrough, and a short support window so your team can take over confidently.
Typical time from first contact to start of work: 5–10 business days · Most analysis and pipeline projects delivered within 1–3 weeks · All IP and deliverables belong to you
Flexible Engagement Models
We adapt to how your team works — whether you need a one-time deliverable or ongoing support.
Project-Based
Clearly scoped deliverables with fixed or milestone-based pricing. Best for defined analyses, pipeline builds, or software features.
Retainer / Ongoing
Dedicated monthly hours for teams needing regular bioinformatics support, data analysis, or iterative software development.
Consulting & Advisory
Short-term expert input on study design, results interpretation, methods, technology strategy, or pipeline architecture — without a full project commitment.
Not sure what model fits your needs? Let's talk — we'll suggest the right approach.
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