🔬 AI-Native Science

Your AI Co-Primary Investigator

An AI-native scientific workspace that combines an electronic lab notebook, computational notebooks, and an AI research collaborator — so you can focus on discovery.

Python
importpandas as pd
importmatplotlib.pyplot as plt
df = pd.read_csv("experiment_results.csv")
df.describe()

Everything Scientists Need in One Place

From experiment documentation to data analysis to AI-powered insights — all in one unified workspace.

Electronic Lab Notebook

Document protocols, experiments, and results with rich formatting. Organize your research with a modern, searchable notebook.

importpandasaspd
importnumpyasnp
df = pd.read_csv("results.csv")
df.groupby("group").mean()
Out[1]:

Computational Notebooks

Run Python code, analyze data, and create visualizations inline. Powered by Pyodide — no server setup required.

AI Research Collaborator

Get AI-powered literature review, hypothesis generation, and troubleshooting from an assistant with PhD-level domain knowledge.

100500

Smart Data Visualization

Auto-generate plots and charts from your experimental data. Interactive grids and visualizations built right in.

From Bench to Publication

Co-PI understands your research across every notebook, protocol, and dataset.

AI That Understands Your Research

Your AI co-PI has context across all your notebooks, protocols, and data. It remembers your methods, understands your results, and helps you connect findings across experiments.

Built for Real Science

PhD-level domain knowledge in bioinformatics, genomics, and proteomics. Co-PI speaks your language and understands the nuances of your field.

Frequently Asked Questions

Common questions about Co-PI. If you have others, don't hesitate to reach out.

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