Probably

What Probably does

Probably is a secure, local application designed for accurate data analysis using natural language. It acts as a verifiable data agent, exploring and reporting quickly over billions of rows of data. Unlike pure LLMs, it refuses to guess, providing deterministically verified reports to ensure figures and statistics are present in the data. Data remains private, staying entirely on the user's machine or network, with cloud AI only powering reasoning. It performs real math using a local, processor-optimized compute engine for fast calculations. Probably connects to any data source, including local files (CSV, JSON, Parquet) and data warehouses like Snowflake, BigQuery, and Postgres. It understands data quality, spotting outliers, missing values, and inconsistent formats, and learns business context over time, becoming smarter with every interaction. It is designed for various roles, from CEOs generating reports to data scientists automating EDA and engineers debugging pipelines. The product emphasizes accuracy and verifiability, running every action through deterministic validators and checking all outputs against actual computation traces. Failed validations are rejected for revision. Calculations are persisted and reproducible across an organization. It offers flexible pricing plans, including pay-as-you-go and subscriptions.

Products

• ProbablyA secure, local app for accurate data analysis using natural language, functioning as a verifiable data agent.
• Data InternAn essential functionality plan for up to 5 teammates with unlimited sources and rows, and basic reporting functions. Includes thinking credits and up to 5 learning neurons.
• Data ProIncludes all features of Data Intern, supports up to 15 teammates, offers continuous syncing, stats functions, advanced data agent capabilities, monthly thinking credits, and up to 25 learning neurons.
• Data ScientistIncludes all features of Data Pro, supports up to 50 teammates, provides data cleaning, ML and anomaly functions, scientific data agent capabilities, and up to 150 learning neurons.
• Data TeamIncludes all features of Data Scientist, supports unlimited teammates, offers continuous transformation, finance and forecasting functions, enterprise data agent capabilities, and unlimited learning neurons.

Key capabilities

• Secure, local app
• Accurate data analysis using natural language
• Explores and reports quickly over billions of rows
• Determines verifiable answers to any data question
• Connects to any data source (local files, data warehouses)
• Builds understanding of business context
• Refuses to guess, no guesswork or sycophancy
• Reports are deterministically verified
• Data stays private (on machine or network)
• Cloud AI only powers reasoning
• Does real math with local, processor-optimized compute engine
• Supports CSV, JSON, Parquet, Snowflake, BigQuery, Postgres, MySQL, MariaDB, ClickHouse, RisingWave
• Understands data quality (spots outliers, missing values, inconsistent formats)
• Learns context and business over time
• One tool for any role/workflow (CEO, Data Scientist, Engineer)
• Accuracy and verifiability are foundational design constraints
• Deterministic validators for every action
• Outputs checked against actual computation traces
• Failed validations rejected for revision
• Calculations persisted and reproducible
• Pay-as-you-go or subscription pricing
• No waiting for data team
• No need to learn complex tools or statistics
• No row or size limits
• Analysis happens locally on your machine
• Data never leaves your control
• Cloud LLMs only power reasoning, data never leaves device
• Handles complex analysis behind the scenes
• Provides clear answers or explains why it can't answer
• Silently ignores, transforms, or modifies data only with explicit instruction
• Local-first data agent
• Applies the scientific method to extract signal from raw data
• Speed, accuracy, verifiability, and security tenets
• Desktop native client

Use cases

• Accurate data analysis
• Generating reports as a CEO
• Automating Exploratory Data Analysis (EDA) as a Data Scientist
• Debugging pipelines as an Engineer
• Analyzing large amounts of data via rigorous statistics
• Reproducing calculations across an organization
• Quickly connecting to data warehouses
• Analyzing any CSV, Spreadsheet, JSON, or Parquet file
• Mining insights from messy data sources
• Continuous syncing of data
• Performing statistical functions
• Data cleaning
• Machine Learning and anomaly functions
• Continuous transformation of data
• Finance and forecasting

AI approach

Probably is a verifiable data agent that uses AI for reasoning but performs mathematical tasks and data analysis locally with a processor-optimized compute engine. It emphasizes deterministic validation of outputs to ensure accuracy and prevent hallucination, reporting only what the data supports. It learns context and business over time, improving with every interaction.

Tech named: LLMs, processor-optimized compute engine

What it says sets it apart

• Verifiable data agent: deterministically verifies reports, no guesswork or hallucination like pure LLMs.
• Data privacy: data stays entirely on the user's machine or network; cloud AI only powers reasoning.
• Real math: mathematical tasks delegated to a local, processor-optimized compute engine, not an LLM.
• Comprehensive data source connectivity: supports local files and a wide range of data warehouses.
• Data quality understanding: spots outliers, missing values, inconsistent formats, and warns users.
• Contextual learning: learns business context and improves with every interaction.
• Role-agnostic: designed for various roles including CEO, Data Scientist, and Engineer.
• Foundational accuracy and verifiability: every action validated, outputs checked against computation traces, failed validations rejected.
• Reproducible calculations: persisted calculations can be reproduced across an organization.
• Local-first design: operates directly over raw data sources on the local machine, ensuring speed, accuracy, verifiability, and security.
• No-code/low-code: allows users to ask questions in plain language without needing to learn complex tools or statistics.

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.