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Discover faster. Analyze smarter. Automate further.

OUR SERVICES

Expert Computational Services that suit your needs

  • AI-Powered Analysis: Develop GenAI and LLM-powered software for proteomics, genomics, transcriptomics, and other complex biological datasets.

  • Intelligent Scientific Assistants: Build virtual AI assistants that help researchers explore data, answer biological questions, and support biomarker discovery.

  • Human-in-the-Loop AI: Combine AI-driven automation with expert scientific oversight to deliver reliable, interpretable, and actionable insights.

  • Genomics (WGS/WES): Variant calling, annotation, variant prioritization, CNV/SV analysis, mutational profiling, and clinical/research interpretation

  • Transcriptomics: RNA-seq: QC, read alignment/quantification, differential gene expression, pathway analysis, enrichment analysis, and biomarker identification

  • Transcriptomics: Single-Cell RNA-seq: QC, cell clustering, cell-type annotation, differential expression, trajectory analysis, cell–cell communication, and biomarker discovery

  • Proteomics & Protein Biomarkers: Olink analysis, protein QC, differential protein expression, correlation analysis, pathway analysis, and biomarker identification

  • CITE-seq: Joint RNA/protein analysis, cell-type annotation, clustering, differential expression, and immune profiling

  • cfDNA/ctDNA: Variant calling, VAF analysis, mutation profiling, CNV analysis, tumor burden assessment, and biomarker evaluation

  • Spatial Transcriptomics: Visium/Xenium analysis, spatial clustering, cell-type mapping, differential expression, spatially variable genes, and tissue-region characterization

  • Epigenomics: ATAC-seq and ChIP-seq QC, peak calling, differential accessibility/binding, motif analysis, and regulatory-element characterization

  • Flow Cytometry: QC, population identification, clustering, differential population analysis, and immune-cell profiling

  • Metagenomics & 16S rRNA: Taxonomic profiling, diversity analysis, differential abundance, functional profiling, and microbiome characterization

  • Microarrays: QC, normalization, differential expression, pathway analysis, and biomarker discovery

  • CRISPR Screens: Guide-level analysis, hit identification, essentiality analysis, pathway enrichment, and target prioritization

  • Multi-Omics Integration: Cross-platform data integration, correlation analysis, network analysis, pathway modeling, biomarker discovery, and biological interpretation

Scientific & AI Consulting

  • Scientific Data Strategy: Design data analysis strategies and workflows for complex biological and multi-omics datasets, from study design through biological interpretation.

  • AI & GenAI Strategy: Identify opportunities to apply AI, GenAI, LLMs, and agentic workflows to accelerate research, automate repetitive processes, and support scientific decision-making.

  • Workflow & Technology Consulting: Evaluate tools, methods, and computational approaches; design customized analytical workflows; and help teams implement scalable, reproducible solutions.

  • Biomarker & Translational Research: Support biomarker discovery, validation, and interpretation by integrating molecular, clinical, and other multimodal datasets.

  • Custom Solution Development: Translate scientific requirements into practical software, analytics, and AI solutions tailored to specific research needs.

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Bioinformatics
Pipeline Development

  • Custom Analysis Pipelines: Design and develop end-to-end pipelines tailored to specific datasets, research questions, and analytical requirements.

  • Automated Workflows: Automate data processing, QC, analysis, visualization, and reporting to reduce manual effort and improve efficiency.

  • Reproducible & Scalable Pipelines: Build robust workflows using standardized tools and best practices that can be reproduced, maintained, and scaled across projects.

  • Multi-Omics Pipelines: Develop workflows that integrate genomics, transcriptomics, proteomics, epigenomics, and other biological data types.

  • Tailored Scientific Software: Develop custom applications and tools designed around your research workflows, data, and scientific objectives.

  • AI-Powered Solutions: Build customized GenAI, LLM, and agentic AI solutions for data analysis, scientific interpretation, automation, and decision support.

  • Workflow Automation: Transform manual and repetitive processes into streamlined, intelligent workflows that improve efficiency and reduce time-to-insight.

  • Data Integration & Visualization: Connect diverse data sources and create interactive tools for analysis, visualization, reporting, and biological interpretation.

  • From Concept to Deployment: Turn an idea or research challenge into a working solution—from initial design and prototyping to development, validation, and deployment.

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GenAI & LLM Software 

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Bioinformatics Data Analysis

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Custom Solutions

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