Everything you need to know about BoxLM and how to use it effectively.
BoxLM is a universal tabular language model designed to transform messy, heterogeneous tabular data into clean, structured knowledge that's optimized for AI reasoning and RAG (Retrieval-Augmented Generation) pipelines. It handles data from multiple sources like CSV, Excel, JSON, and more, normalizing them into a consistent format.
BoxLM supports a wide range of tabular data formats including:
BoxLM is deployed on-premise within your infrastructure or in your private cloud. This ensures your sensitive data never leaves your environment, which is essential for enterprises handling confidential or regulated data. Our team works with you to ensure a smooth deployment.
BoxLM's semantic enrichment analyzes your tabular data to automatically infer column types (dates, currencies, emails, etc.), detect relationships between columns, identify primary keys, and add contextual metadata. This enriched information helps LLMs better understand and reason about your data.
Absolutely. BoxLM is optimized for enterprise-scale performance and can process millions of rows efficiently. It uses streaming processing for memory efficiency, parallel parsing for speed, and intelligent chunking for very large files. We've tested it with datasets exceeding 10GB without issues.
BoxLM outputs structured data in formats optimized for vector databases and LLM consumption. You can easily pipe BoxLM's output to popular vector stores like Pinecone, Weaviate, or Chroma. Our team provides integration support for common RAG setups including LangChain and LlamaIndex.
BoxLM can output data in multiple formats:
Yes. BoxLM is designed to run entirely within your infrastructure. Your data never leaves your environment, and there are no external API calls that could expose sensitive information. This makes BoxLM suitable for HIPAA, SOC 2, and other compliance requirements.
BoxLM has flexible deployment options. For optimal performance with large datasets, we recommend 16GB+ RAM and SSD storage. GPU acceleration is optional but can speed up certain semantic analysis features. Our team will work with you to determine the right configuration for your use case.
BoxLM pricing is based on your specific needs including data volume, deployment complexity, and support requirements. We offer flexible licensing options for enterprises. Schedule a call with our team to discuss pricing tailored to your use case.
Enterprise customers receive dedicated support including:
Still have questions?
Schedule a Call