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Bioinformatics · AI · Diagnostics · Software

Bioinformatics, AI, and Scientific Software Built for Real-World Biology.

We design and build bioinformatics pipelines, AI models, and scientific software — from raw data analysis to production-ready systems.

Founded by PhD researchers · published work in bioinformatics, AI & epigenomics · EU-based · GDPR-compliant

EU-registered company (Estonia)
GDPR-compliant by default
Reproducible, documented deliverables
  • PhD-Trained Founders
  • 6 Core Services
  • Proposal in 2–3 Days
  • Client Owns All IP
  • EU-Based · GDPR-Compliant
Who We Work With

Built for Teams Working with Biological Data

If your work involves sequencing, omics data, diagnostic software, or scientific automation — we are likely a good fit.

Research Labs

Academic and institutional labs needing bioinformatics pipelines, data analysis, or custom tools for their research workflows.

Biotech Startups

Early-stage biotech companies needing rapid bioinformatics prototyping, AI model development, or scientific software without hiring in-house.

Diagnostic Developers

Teams developing clinical or research diagnostic tools that require genomic data analysis, variant interpretation, or reporting software.

Healthtech Teams

Digital health and healthtech teams integrating biological data — genomics, proteomics, or microbiome data — into clinical or consumer products.

Pharma & CROs

Pharmaceutical and contract research organisations needing targeted bioinformatics analysis, data integration, or workflow automation support.

Not working in one of these areas? Just reach out — we'll tell you honestly within a day whether we can help.

Problems We Solve

Do Any of These Sound Familiar?

These are the most common challenges our clients bring to us. If yours isn't listed, reach out — we'll tell you quickly whether we can help.

We have sequencing data but no reproducible analysis pipeline.

NGS Pipeline Development

We need AI or machine learning applied to our biological or clinical dataset.

AI / ML Model Development

We want to turn our research into a usable software tool or web application.

Scientific Software Engineering

Our bioinformatics workflow needs to scale to cloud or HPC infrastructure.

Cloud & HPC Deployment

We need a diagnostic tool built to clinical or regulatory standards.

Diagnostic Software

We have a software or automation idea but no engineering capacity.

Custom Development

How We Work

A Clear, Predictable Process

From first contact to final delivery — you always know what to expect and what comes next.

Discovery Call

A focused 30-minute conversation to understand your data, goals, and constraints. No commitment required.

Scoped Proposal

We send a written proposal with a clear approach, deliverables, timeline, and pricing. No vague estimates.

Build & Iterate

We develop with regular check-ins. You see progress early and can course-correct before final delivery.

Delivery & Handover

Documented, reproducible results — pipelines, code, reports, or software — ready for immediate use. You own everything.

Typical time from first contact to proposal: 2–3 business days

What You Receive

Concrete Deliverables. No Vague Outputs.

Every engagement ends with something tangible your team can use, own, and build on — not just a report that gathers dust.

Reproducible pipelines & workflows

Version-controlled, containerised, and fully documented — re-runnable by your team without us.

Analysis reports

Clear, structured findings in publication-ready format — with methods, results, and interpretation.

Clean, commented source code (Python, R & more)

All code is yours — Python scripts, R Markdown, pipelines, and packages. No black boxes, no proprietary lock-in.

Dashboards or software tools

Where applicable — deployed, tested web apps or interactive analysis tools ready for your team.

Documentation & handover support

Written docs and a walkthrough session so your team can take ownership with confidence.

Example Outputs

What Our Work Looks Like

Representative examples of deliverable types — the kind of outputs we produce for research and diagnostic projects.

These are illustrative examples showing the type and structure of deliverables — not real client data or results.
NGS Pipeline

Variant Analysis Report

Germline variant calling from WES data — filtered, annotated, and classified with ACMG criteria. Delivered as structured report + VCF.

GATKVEPACMGWES
Machine Learning

Biomarker Classification Model

Random forest classifier trained on RNA-seq features to predict treatment response. Includes SHAP-based interpretability output.

RNA-seqscikit-learnSHAPCross-validation
Software

Variant Reporting Dashboard

Web-based tool for reviewing and annotating somatic variants from tumour sequencing. Integrates ClinVar, gnomAD, and COSMIC lookups.

ReactFastAPIPostgreSQLClinVar
Why Nalam Biosciences

Scientific Rigour.
Modern Engineering.

We combine deep expertise in molecular biology and bioinformatics with modern software engineering — delivering solutions that are reproducible, well-documented, and built to last.

Built by PhD-trained founders. Deep expertise across translational medicine, bioinformatics, AI, and scientific software — bringing research-grade rigour to every client engagement.

Meet the founding team →
About the Company

Scientific Depth

Our work is grounded in peer-reviewed methods. We speak the language of biology, not just software engineering.

Modern Engineering

We build with current best practices — reproducible pipelines, version-controlled code, tested software, and clean documentation.

EU-Based, Globally Delivered

Registered in Estonia under EU law. Strong data privacy standards (GDPR), remote-capable delivery for US, EU, and Asia-Pacific clients.

Practical Problem-Solving

We focus on deliverables that work in real research and clinical settings — not over-engineered solutions or academic prototypes.

All client data treated as strictly confidential
NDA available before any technical discussion
All deliverables are reproducible and version-controlled
EU jurisdiction · GDPR-compliant data handling
FAQ

Common Questions

Answers to the questions we hear most often before a first call.

What bioinformatics services does Nalam Biosciences offer?

We offer six core services: bioinformatics analysis and NGS pipeline development, AI and machine learning for biology, diagnostic tool development, scientific software and app development, scientific workflow automation, and research and technical consulting. Each service is delivered to publication-quality standards.

What NGS data types and sequencing platforms do you work with?

We work with whole-genome (WGS), whole-exome (WES), targeted panel, RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, 16S/18S/ITS amplicon, shotgun metagenomics, ChIP-seq, ATAC-seq, and long-read data from PacBio and Oxford Nanopore platforms.

Do you work with international clients outside the EU?

Yes. We are registered in Tartu, Estonia (EU) but deliver fully remotely. We work with clients in the EU, United States, and Asia-Pacific. All deliverables are transferred securely and project communication is asynchronous-friendly.

Who owns the code, pipelines, and data at the end of a project?

The client owns all deliverables — code, pipelines, models, data, and documentation. There are no proprietary platform dependencies unless specifically required by the project.

Do you sign NDAs before discussing a project?

Yes. We execute NDAs before any technical discussion if requested. Confidentiality is treated as standard practice for all engagements — client data and research materials are never shared with third parties.

How long does a typical bioinformatics or software project take?

Scope varies: a focused analysis (e.g. RNA-seq differential expression, GWAS) typically takes 2–4 weeks. A full pipeline build or software tool is usually 4–12 weeks. We provide a written timeline estimate in every proposal before any commitment.

Do you offer consulting without committing to a full project?

Yes. We offer short-term consulting engagements for study design review, technology stack selection, pipeline benchmarking, and results interpretation — without requiring a full project commitment.

Are you GDPR-compliant? Can you work with clinical or patient data?

Yes. We are incorporated in the EU and operate under GDPR by default. We can process clinical data with appropriate data transfer agreements (DTAs) in place. EU-based processing is available for sensitive research and clinical data.

How do I get started?

Contact us via the website form or by email at [email protected]. We schedule a focused 30-minute discovery call to understand your data, goals, and constraints, then send a scoped written proposal within 2–3 business days. No commitment is required for the first conversation.

Have a question that's not listed?

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Ready to get started?

Let's Discuss Your Project

Whether you have a bioinformatics challenge, a diagnostic tool idea, or need scientific software built — we're here to help. No commitment required for the first conversation.