Features
Support for 75+ languages
84 trained pipelines for 25 languages
Named entity recognition (NER)
Part-of-speech (POS) tagging
Multi-task learning with pretrained transformers like BERT
Config-driven training with no hidden defaults
spacy-llm package for LLM integration
Built-in visualizers for syntax and NER
Custom model support via PyTorch, TensorFlow
Natural language AI writes Python, SQL, formulas, charts
Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
MCP support for AI agents (Claude, Cursor, ChatGPT)
API for reading/writing cells and triggering AI runs
Import CSV, Excel, PDF, Google Sheets
Scheduled tasks for automated data refresh
Conditional formatting and merged cells
STOCKHISTORY function for financial data
Images and embeds in spreadsheets
AI-generated code with explanations that are editable
Collaborative sharing with repeatable insights
Folders for organizing files
Python, SQL, JavaScript, and formula cells
Agent Sync to link apps and APIs into spreadsheets
SOC 2 and HIPAA certified
