Latentspace uses AI assistant Steve to analyze data, generate reports, and create visuals from CSV or Excel files for fast, transparent insights.
Pricing Model
Free tier with up to 10,000 rows per month, Basic plan at $29/month for 100,000 rows and advanced analytics, Pro at $99/month for unlimited rows, priority support, and API access, with enterprise custom pricing available.
Visit Latentspace's website for the most up-to-date pricing tiers and features.
Latentspace is an AI-powered tool that acts like an on-demand data analyst, turning your uploaded data into reports, graphs, and insights via natural language questions to its assistant Steve.
You upload CSV or Excel files, connect to your data warehouse if needed, then ask Steve questions in English-he analyzes, visualizes, and explains everything transparently without moving your data.
Steve is the friendly AI assistant at the heart of Latentspace, handling queries, generating stats, and creating visuals to make data analysis quick and understandable for everyone.
It accepts CSV and Excel uploads easily, with direct connections to your existing data warehouses for seamless, secure access-no need to export files every time.
Yes, the free tier lets you process up to 10,000 rows monthly with core features, perfect for testing before upgrading to paid plans starting at $29/month.
Data never leaves your warehouse; it's analyzed in place with end-to-end encryption, role-based access, and audit logs to ensure compliance and privacy.
Absolutely-it's designed for beginners with no SQL needed; just ask questions like you would a colleague, and Steve does the heavy lifting.
The Pro plan handles unlimited rows, though very large sets might take a bit longer; start with Basic for most needs and scale as you grow.
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Check out Latentspace official site
Pricing
Free tier with up to 10,000 rows per month, Basic plan at $29/month for 100,000 rows and advanced analytics, Pro at $99/month for unlimited rows, priority support, and API access, with enterprise custom pricing available.
Category
Data Analysis
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