ArcellAI is the agentic data layer for R&D—an autonomous data intelligence platform that designs and executes data-engineering pipelines and statistical experimentation. Purpose-built AI agents automate the toughest 80% of data work, from ingestion and harmonization to modeling and reporting, with integrated provenance and reproducibility. Built for biotech, manufacturing, and robotics research teams.
See how ArcellAI transforms data workflows for R&D teams
End-to-end automation across ingestion → transformation → lineage → orchestration → model invocation. Standardized tool APIs and deep integrations turn your data infrastructure into autonomous scientific and engineering workflows. A self-driving semantic layer ensures metrics and calculations remain consistent across teams. Every run versions data, captures lineage, and strengthens your provenance graph.
Automates ingestion → cleaning/transformation → lineage → orchestration across your R&D stack.
Purpose-built agents with domain-specific intelligence via context engineering and tool use.
Versioned datasets, transformation lineage, and auditable workflows captured in a provenance graph.
Autonomously defines and centralizes research metrics, experimental KPIs, and statistical calculations—ensuring consistency and governance across all R&D analytics.
Breaks objectives into reliable multi-step pipelines.
Standardized tool APIs across databases, notebooks, LIMS/ELN, and hardware.
Versioned datasets and transformation lineage for auditability and reuse.
Context-engineered agents for scientific and structured data.
ArcellAI turns fragmented data work into autonomous, reproducible workflows—so your team can focus on discovery. Go from raw data to decisions in hours, not months.
The brilliant minds behind ArcellAI's revolutionary agentic data science platform.
Our team information will be revealed soon. Stay tuned for updates on the exceptional researchers and engineers building the future of autonomous data science.
The ArcellAI platform is built on the data view design and API-first paradigm introduced in the PyTDC publication at ICML 2025. PyTDC is a multimodal machine learning platform for biomedical foundation models that unifies distributed data sources and standardizes AI inferencing and benchmarking endpoints.
Ready to revolutionize your data science workflows? Let's discuss how ArcellAI can accelerate your research.