Condense
The high-performance intelligence layer for structuring messy, unstructured data at scale.
The Intelligent Data Extraction Engine for High-Fidelity Unstructured-to-Structured Transformation.
Formulize is a high-performance AI platform engineered to solve the 'unstructured data' bottleneck in modern enterprises. By 2026, it has solidified its position as a leader in Intelligent Document Processing (IDP) by moving beyond traditional OCR into semantic-aware schema mapping. The architecture leverages a multi-modal ensemble—combining specialized vision transformers with Large Language Models (LLMs)—to interpret context, intent, and complex hierarchies within documents like medical records, legal contracts, and financial statements. Unlike legacy tools that rely on brittle templates, Formulize uses dynamic semantic matching to map disparate data sources into a unified JSON or SQL structure. This makes it a critical infrastructure component for lead-gen platforms, fintech, and supply chain logistics where accuracy at scale is non-negotiable. The 2026 iteration includes 'Zero-Shot Schema Generation,' allowing architects to define target data structures in natural language, which the system then identifies across massive document repositories with over 99.4% accuracy.
Uses RAG-augmented vector search to match document fields to your database schema without predefined templates.
The high-performance intelligence layer for structuring messy, unstructured data at scale.
The high-performance AI engine for automated data extraction and complex reasoning at scale.
Transform the Web into a Structured Database with AI-Native Data Extraction.
Verified feedback from the global deployment network.
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Proprietary ensemble of Llama-4 and proprietary Vision-Transformers for instant data identification.
Automatic flagging of extraction fields where the model's confidence falls below a user-defined threshold (e.g., 0.85).
Automatic identification and masking of sensitive information (SSNs, names, addresses) before data storage.
Advanced Intelligent Character Recognition for processing non-digital forms and field notes.
Extracts nested table structures from multi-page PDFs and merges them into a single coherent flat file or JSON object.
Lightweight model quantization for local deployment via Docker to minimize data latency.
Manually entering data from 10,000+ photos of business cards and handwritten signup sheets.
Registry Updated:2/7/2026
Processing invoices from 500 different vendors, all with different layouts.
Extracting damage descriptions and costs from unstructured adjuster reports.