Probably

Founded by Peter Elias

Analyze data using natural language without AI hallucinations or guesswork

Cost

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Probably to ask questions about your data in plain English and get verified, accurate answers. It connects to local files (CSV, JSON, Parquet) or data warehouses like Snowflake, BigQuery, and Postgres. All analysis runs locally on your machine, so your data stays private. It uses a deterministic compute engine for math instead of an LLM, which means figures are verified against actual computation traces. It also spots data quality issues like missing values and outliers.

What Probably does

Query data in plain English and get a verified numerical answerConnect to a data warehouse using credentials and start asking questionsUpload a CSV or JSON file and run statistical analysis instantlyGenerate charts and reports from raw data without codingDetect outliers and missing values in a dataset automaticallyReproduce a past calculation and share results with a teammateSpot inconsistencies in data formats before they cause downstream errorsBuild a running context of your business so future queries are more accurateVerifies every output against actual computation traces — no made-up numbersRuns all data analysis locally so files never leave your machineUses a dedicated math engine instead of an LLM for accurate calculationsConnects to local files (CSV, JSON, Parquet) and major data warehousesDetects data quality issues like outliers, missing values, and inconsistent formatsBuilds knowledge of your business context over time with each interactionSupports billions of rows without row or size limitsProduces reproducible calculations that can be shared across your organization

Tutorials & Demos

Frequently asked

PostgreSQL

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半区

RisingWave Labs

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