Lido is a spreadsheet that connects to your business systems and adds AI — pulling live data from databases, CRMs and apps into a familiar grid, then letting you use AI functions inside cells to process it at scale.
Its distinguishing move is treating AI as a spreadsheet formula: write something like =AI("classify this support ticket") across a thousand rows and get structured outputs in seconds — categorization, extraction, summarization, sentiment — without writing code. Connectors bring in live data (SQL databases, CRMs, ad platforms), and automations can email reports or update systems on a schedule.
A free tier lets you try; paid plans scale rows, connections and automation runs.
Strengths: enormously practical for bulk data work that would otherwise be manual or require engineering; familiar spreadsheet interface removes the learning curve; live connections keep analysis fresh. Weaknesses: AI outputs on important data need sampling and verification (a thousand fast answers include some wrong ones); costs scale with volume of AI calls; and complex modeling still belongs in proper BI tools or notebooks.
Who it's for: operations, marketing and sales analysts doing repetitive data classification and enrichment — the people currently doing it manually or begging engineering for a script.
Frequently Asked Questions
What makes Lido different from Google Sheets?
Live connections to business systems plus AI functions you can run down thousands of rows — bulk classification, extraction and summarization inside cells.
What can I automate with AI formulas?
Categorizing tickets or leads, extracting fields from text, sentiment analysis, summarizing feedback, cleaning messy data.
Should I trust AI results across thousands of rows?
Spot-check samples before acting — bulk AI processing is fast but not infallible.