In today’s data-driven business landscape, organizations need simpler ways to access their data–they need tools that bridge the gap between business users and their databases. While SQL has been the backbone of data analysis for decades, modern challenges require modern solutions. Why are we still relying on a programming language from the 1970s? Users increasingly want seamless and instant access to their data, without having to rely on a data scientist to run complex code or calculations.  Enter: Infactory.

The Power of Deterministic Results

One of the most critical challenges in enterprise data is going beyond simple database queries and accurately handling complex datasets across different formats and sources. While traditional text-to-SQL tools can translate basic questions into database queries, they struggle with complexity and still rely heavily on probabilistic LLMs that risk hallucinations and lack auditability. Infactory’s proprietary Unique Query Methodology (UQM) takes a fundamentally different approach. With Infactory, complex business logic and relationships can be customized on different inputs, greatly enhancing the repeatability of results. This is essential in industries where every result must be auditable and precise. 

Semantic Layer: Understanding Your Data

This deeper semantic understanding doesn’t just query your data–it unlocks its true value, enabling sophisticated insights that reflect your actual business operations and empowering you to make business-critical decisions. 

Another key advantage: Infactory significantly reduces engineering overhead relative to DIY solutions. When data structures evolve, simple tooling automatically updates the underlying models–eliminating the constant prompt engineering, manual schema mapping and maintenance burden of self-managed offerings and text-to-SQL products. This means engineering teams can build reliable AI features in days, not months. 

Beyond Query Generation

Infactory isn’t just another query tool - it’s a data platform. While text-to-SQL focuses solely on database queries (and struggles with anything more complex than telling you which customers are in your database, let alone which ones are giving you those 'we'll get back to you on that' vibes), Infactory helps you uncover the stories hiding in your data:

• Advanced Data Introspection: Understand data at a deeper level 

• Intelligent Transformations: Easily convert and adapt data to be used for enterprise AI applications. Unlike text-to-SQL, which only maps basic database structures, Infactory’s UQM encodes your full business context–capturing precise relationships, hierarchies and domain specific logic

• Complex Calculations: Perform sophisticated analysis without writing complex queries

• Attribution Tracking: Understand lineage and origins of query results

• Comprehensive Logging: Keep detailed audit trails of all queries and have visibility into which questions your users are asking most, and in turn understand which data is most valuable

• Data Visualizations: Generate complex charts and graphs in seconds

• Flexible Output Formats: Deploy AI-ready queries in the format that works best for your needs (API, JSON, Parquet, etc.) 

Enterprise-Ready

Modern enterprises need more than just technical capabilities - they need solutions that integrate seamlessly with their existing infrastructure. Infactory offers:

• On-premises installation for maximum control, hybrid, or SaaS

• Integration with existing systems

• Fine-tuned permissions

• Robust API infrastructure

• Comprehensive documentation & support

• Compliance-ready architecture

As enterprises build AI capabilities, they need more than just database queries–they need sophisticated tools for accuracy and traceability. Infactory brings data introspection into the Gen AI era, moving beyond SQL and enabling engineering teams to develop AI features without compromising on precision.