
From Data to Intelligence, Building Trustworthy AI for Life Science
Built on industrial-scale single-cell multi-omics data, MobiDrop has developed the life-science research agent MobiInsight, the agentic analytics cloud platform MobiDrop Cloud, and the virtual cell platform MobiCell. Together, they make biological data learnable, verifiable, and reproducible by AI—accelerating scientific discovery and drug development.

WHAT WE ARE BUILDING
Data × Agent × Virtual Cell A Complete AI for Science Loop
We believe the bottleneck of virtual cells and life models is not the algorithm but the data—whether perturbations are systematic, measurements are complete, and batch quality is controlled. This is the core capability MobiDrop has built over a decade in single-cell science.
MobiDrop continuously produces high-quality, traceable data on its automated single-cell multi-omics platform, and builds the agent MobiInsight, cloud platform MobiDrop-Cloud and virtual cell MobiCell on top—forming a virtuous cycle of producing data, understanding it, and simulating life.
THREE PROPRIETARY ENGINES
Three Proprietary AI Engines
From intelligent analysis and cloud execution to virtual simulation, the three engines reinforce each other, covering the full pipeline from data to decisions.
THREE PROPRIETARY ENGINES
Data Production
From experimental perturbations to multimodal measurement and batch-level QC, data production is consistent enough for scalable delivery—the prerequisite for training reliable life models.

Automated Perturbation
Gene editing, compounds, cytokine stimulation and more—executed at scale and standardized, cutting batch-to-batch variation.
Multimodal Measurement
Transcriptomics, epigenomics, protein and spatial data collected within one experimental system, giving models a fuller picture of cell states.
Industrial QC
Every batch is traceable and quantifiable, meeting the consistency required to deliver AI training data at scale.

MobiInsight
Life-Science Research Agent · Analysis Brain
MobiInsight is MobiDrop’s purpose-built life-science research agent. Powered by a domain-specific foundation model, it supports pan-omics bioinformatics—including single-cell, transcriptomic, epigenomic, proteomic, spatial, microbial, and metagenomic analysis—and integrates an extensive library of skills, toolchains, and expert review. It is AI designed specifically for research, not a wrapper around a general-purpose model.
- 5000+ Agent Skills
- 1000+ plug-and-play MCP tools
- Full omics: single cell / epi / spatial / protein / microbe

MobiCell
Virtual Cell · Life Simulation
MobiCell is a virtual cell trained on massive single-cell data, closely simulating real cell behavior and gene regulatory networks. It shifts experiments from trial-and-error to compute-first, validate-later—predicting cellular responses to perturbations in the digital space for efficient, low-cost R&D.
- Full MobiVision bioinformatics capabilities
- Align · QC · Dimensionality reduction · Annotation · DEG · Trajectory
- MCP connects AI clients to bioinformatics execution

MobiDrop-Cloud
Intelligent Cloud Platform · Execution Layer
From raw data to interpretable conclusions—no learning curve. Drive bioinformatics analysis with natural language, no code required.
Through MCP, AI clients, web management and bioinformatics execution are deeply integrated—analysis feels like talking to a specialist bioinformatician.
Use Cases
Bridging real experiments, scalable data production, cloud analysis and virtual simulation to support key R&D tasks.
Drug Target Discovery & Validation
Build experimental evidence for candidate targets through systematic perturbation and precise measurement.
Virtual Cells & Life Models
Provide multi-condition, multimodal, quality-controlled cell-state data for model training.
Research Data Delivery
Support scalable data production and analysis outsourcing for CROs and research service firms.
Pharma AI Data Supply
Build a sustainable, iterable data foundation for in-house enterprise models.




