PRODUCT · SOFTWARE
Insilicolab
A virtual research platform for spatial-omics analysis
Data ingestion · analysis · in-silico experiments — unified in one platform. POCKETS, MATISSE, CohortLab, and AURA work together to compress the cycle from hypothesis to validation in drug discovery.
- UNIFIED WORKFLOW
- POCKETS → MATISSE → AURA
- WORKBENCH PHILOSOPHY
- Control over your data, not a black box
- SOVEREIGN BIOLOGY
- Hybrid cloud, on-prem AI
WHY INSILICOLAB
We don't replace researchers. We rebuild their tools.
Most AI tools confine researchers to a black box. Insilicolab puts data, analysis, and in-silico experiments on a single transparent workbench — with full control and full reproducibility.
- 01
Unified workflow
POCKETS (data) → Insilicolab (discovery) → MATISSE (visualization) → AURA (simulation). One platform from raw data to a publishable figure-set.
- 02
Workbench philosophy
Not an agent that hands you an answer. A transparent workbench where every step is yours to shape — control, traceability, reproducibility built in.
- 03
Sovereign biology
Hybrid cloud lets us deploy AI infrastructure inside hospital data centers — sensitive clinical data never leaves, the data moat stays proprietary.
PRODUCT
Shown with the actual UI
A workbench engineered for spatial-omics datasets that don't fit on a laptop.
MATISSE EXPLORER
Browse 100M+ cells at the speed of thought
A streaming-first architecture keeps the spatial map fluid no matter the dataset size. Toggle features (cell groups, gene expression, area, count) and narrow regions in real time.
MATISSE Explorer — scatter plot panel with cell-area / total-counts axes and gene-expression overlay DEG · PLOT · HEATMAP
Hypotheses become plots in one screen
Define groups and subsets directly. Run differential expression analysis and have the results render as heatmaps, scatter plots, and interactive tables — all without leaving the project.
DEG analysis result — heatmap with gene table, p-value and log-fold-change columns PROJECTS · WORKSPACE
A virtual lab your team actually shares
Datasets, notes, and analysis results stay organized per project. Service Manuals, Notice, and Latest Research weave together the day-to-day flow of an active research team.
Insilicolab home dashboard — Service Manual cards, Recent Projects, Latest News and Research
COMPONENTS
Four engines, one platform
Each engine handles its own slice of the workflow but ships as a single platform — no integration tax, no data hand-offs.
- Data engine
POCKETS
Standardizes raw outputs from any spatial-omics platform into analysis-ready assets. Every step is traceable; every result is reproducible.
- Analysis frontend
MATISSE
High-performance visualization for cell-scale spatial datasets. Natural-language analysis baked into the workbench so anyone on the team can run it.
- Hypothesis design
CohortLab
Search the data in plain language and assemble a virtual cohort (VirtualTMA) on demand. Express a complex experiment hypothesis in one sentence.
- Predictive AI
AURA
Predicts drug response from your data and parameters. A digital twin of the tissue micro-environment lets you ask 'what if?' without the wet-lab cost.
FOR WHOM
Who actually uses Insilicolab?
Built for teams that need to move from raw spatial data to an investable insight without rebuilding their tool stack each time.
Pharma & Biotech R&D
Target discovery, mechanism-of-action, and biomarker work — without standing up a custom analysis pipeline for each modality.
Academic researchers
Professors, postdocs, and grad students translating spatial-transcriptomics data into publications and conference contributions.
Hospital & Clinical specialists
Pathologists and clinical investigators integrating patient tissue data into precision diagnostics and treatment strategy.
ROADMAP
Shipping in stages
Workbench → hypothesis design → in-silico experiments. Each year adds a core capability without breaking what you already use.
- NOW
2025
MATISSE + POCKETS
Visualization workbench and the data pipeline behind it. The platform's market entry.
- NEXT
2026
CohortLab
Natural-language interface and virtual cohort generation extend the workbench into hypothesis design.
- PLANNED
2027
AURA
Drug-response prediction model finishes the in-silico experiment loop — hypothesis to simulated outcome in one platform.
LET'S BUILD
Ready to accelerate your spatial-omics research?
See Insilicolab in a live demo, or talk to our BD team about a partnership.