Smartbooks

Uncover novel insights in minutes with the power of AI

Analyze data from the sources you want the way you want. Answering ad hoc questions and uncovering novel insights has never been easier. Fabi.ai is bringing Agile to data analysis.

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2010 Notebooks

The old way

vs

2024 Smartbooks

The smart way ✨

Manual data wrangling, waiting for ETL processes.

Hours of manual coding and tedious bug hunting.

Rigid, single-language environments with limited flexibility.

Isolated work, clunky sharing, version control nightmares.

AI-assisted querying & in-memory joins across data sources.

Instant AI-powered code generation and intelligent debugging.

Seamless SQL-Python workflow with automatic conversions.

Real-time collaboration with version control and smart sharing.

Use Cases

Supercharge your analysis abilities

Agile data exploration

Break data silos and uncover insights faster with seamless integration of multiple data sources and AI-assisted querying.

Advanced analytics & machine learning

Build predictive models and perform complex analyses in a fraction of the time using the combined power of SQL and Python.

Collaborative data analysis

Foster seamless teamwork and knowledge sharing with real-time collaboration features and version control.

Rapid prototyping & iteration

Quickly test hypotheses and iterate on analyses using a flexible environment that combines SQL, Python, and AI assistance.

Streamlined reporting workflow

Cut out context switching and deliver reports directly from your analysis environment, saving time and reducing errors.

Analytics as code

Develop portable, reproducible, and version-controlled analyses entirely in Python for maximum flexibility and scalability.

Agile data exploration

Break data silos and uncover insights faster with seamless integration of multiple data sources and AI-assisted querying.

Advanced analytics & machine learning

Build predictive models and perform complex analyses in a fraction of the time using the combined power of SQL and Python.

Collaborative data analysis

Foster seamless teamwork and knowledge sharing with real-time collaboration features and version control.

Rapid prototyping & iteration

Quickly test hypotheses and iterate on analyses using a flexible environment that combines SQL, Python, and AI assistance.

Streamlined reporting workflow

Cut out context switching and deliver reports directly from your analysis environment, saving time and reducing errors.

Analytics as code

Develop portable, reproducible, and version-controlled analyses entirely in Python for maximum flexibility and scalability.

Features

Features that will change your standards

LLM-powered assistance

Generate context-aware code and debug with AI. Accelerate development with intelligent autocomplete and error correction.

SQL-Python integration

Switch effortlessly between SQL queries and Python code. Leverage the strengths of both languages for flexible, powerful analysis.

In-memory cross-source joins

Quickly combine data from multiple sources. Perform efficient joins without time-consuming ETL processes.

Reactive analysis

Automatically update dependent analyses when source data changes. Maintain data lineage throughout your workflow.

Always-on computation

Eliminate interruptions from kernel restarts. Maintain your analysis state for uninterrupted productivity.

Data warehouse connectors

Seamlessly integrate with Snowflake, Redshift, and BigQuery. Connect to all your data, no matter where it lives.

Collaborative editing

Co-edit notebooks in real time and ensure consistency with distributed version control system.

Git-based version control

Track changes with commit-level granularity. Manage branches and merges directly within the notebook interface.

Natural language processing

Parse and execute plain English queries. Utilize advanced NLP models for intent recognition and SQL generation.

Fabi.ai is transforming the way insights are gathered and consumed in the enterprise. Any company not using Fabi.ai is choosing to operate at a disadvantage.

Somrat Niyogi

Founder - Recall Capital

Redefine what's possible with your data.

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Get a demo

Frequently Asked Questions

Smartbooks is the next evolution in data analysis, far surpassing traditional notebooks. We offer native SQL support with seamless Python integration, LLM-powered AI assistance for code generation and debugging, reactive cells that automatically update downstream code, integrated version control, and efficient kernel management. This future-proof design eliminates the limitations of outdated notebook environments.

Yes, Smartbooks is designed to handle large datasets efficiently. It features DuckDB integration, allowing you to process millions of rows without needing complex systems like PySpark. Additionally, Smartbooks integrates with cloud data warehouses such as Snowflake, Redshift, and BigQuery for scalable data processing.

Smartbooks' AI assistance is powered by advanced language models and is deeply integrated into the platform. It offers context-aware code generation, error correction, and natural language querying. The AI leverages metadata and semantic information to provide more accurate and relevant assistance throughout your analysis process.

Absolutely! Smartbooks is built with collaboration in mind. It offers real-time collaboration features, shared notebooks, inline commenting, and version history. You can easily control access levels for different stakeholders, allowing them to view code, run reports, or modify analyses as needed.

We view security as a fundamental commitment, not just a feature, taking a proactive approach to stay ahead of potential threats in the rapidly evolving AI landscape. We employ state-of-the-art encryption, granular access controls, and continuous monitoring to protect your data with the same vigilance we apply to our own. Our dedicated team works tirelessly to maintain data integrity and confidentiality, ensuring you can confidently step into the future of AI-powered analytics with Smartbooks.