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Enterprise Layer Intelligence
Categories/AI Analytics/Probably
Probably

Probably

Founded by Peter Elias in 2024

Analyze local and warehouse data using natural language with verifiable calculations

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Probably to query large datasets and generate verified reports using natural language without sending sensitive data to cloud servers. The app runs calculations locally on your machine or directly against data warehouses like Snowflake, BigQuery, and Postgres. Instead of relying on language models for arithmetic, it uses a dedicated compute engine to eliminate math hallucinations. You can inspect data quality issues such as outliers and formatting errors, build charts, and verify every step of the computation process across local files or warehouse tables.

What Probably does

Query large datasets with plain English promptsConnect to PostgreSQL, MySQL, or BigQuery databasesDetect outliers and formatting inconsistencies in uploaded filesVerify statistical calculations against compute tracesGenerate charts from multi-million row filesInspect data quality before loading into production pipelinesShare reproducible analytical artifacts across teamsLocal execution keeping sensitive raw data on your own machineDeterministic output validation to eliminate math hallucinationsDedicated processor-optimized compute engine for rapid calculationsDirect connections to local files and major cloud data warehousesAutomated data quality scanning for outliers and missing valuesNatural language prompt interface for non-technical queryingPersisted calculation traces to ensure verifiable and reproducible results

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
Data InternFree
Data Pro$399 / mo
Data Scientist$1,499 / mo

Tutorials & Demos

Frequently asked

SnowflakeSnowflakeBigQueryBigQueryPostgreSQLPostgreSQLClickHouseClickHouseRisingWaveRisingWave

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Probably, data analysis, local data agent, natural language queries, verifiable data analysis, zero hallucination, SQL warehouse, Snowflake analytics, BigQuery, Postgres, CSV analysis, Parquet files, deterministic verification, data quality monitoring, business intelligence