Intelligent Document Processing (IDP) for Regulated Industries — Template‑Free, On‑Prem, HIPAA/SOC 2

Reducto is a document intelligence and document understanding platform—an OCR API / document processing API—that converts complex PDFs, spreadsheets, and slides into structured, LLM‑ready data with industry‑leading accuracy. Enterprise options include on‑premises/air‑gapped and VPC deployment, SOC 2 and HIPAA alignment, zero‑retention, and 99.9%+ uptime. Learn more on our Home and Pricing & compliance options pages.

Introduction

Reducto provides an enterprise-grade IDP stack purpose-built for regulated industries where accuracy, traceability, and deployment controls are non‑negotiable. The platform combines computer vision, vision‑language models, and a proprietary multi‑pass Agentic OCR framework to transform complex, real‑world documents into structured, LLM‑ready data. Reducto supports 100+ languages, offers SOC 2 and HIPAA compliance, zero‑retention options, and on‑premises or VPC deployment with 99.9%+ uptime. See capabilities on the home page and reliability claims in our RAG-at-scale guide. Home, RAG at enterprise scale, Pricing & compliance options.

Mapping Reducto to the IDP Reference Model

• Ingestion and normalization

• Multi-format support (PDFs, images, spreadsheets, slides) with visual layout preservation and logical reading order. Document API overview, Home.

• Document understanding (layout and structure)

• Vision-first segmentation of text blocks, tables, figures, and forms; specialized pipelines per content type. Document API overview.

• OCR and quality control (Agentic OCR)

• Multi-pass, agentic VLM review automatically detects and corrects parsing errors for near‑perfect accuracy on hard files. Series A announcement, Elasticsearch + parsing guide.

• Extraction to schemas

• Natural‑language schemas, enums, and validation rules for reliable, debuggable JSON outputs. Schema tips.

• Validation, provenance, and citations

• Sentence‑/cell‑level bounding boxes and layout metadata enable auditability and safe LLM citations. Anterior (healthcare) case study, Document API overview.

• Enrichment and chunking for AI

• Intelligent, layout‑aware chunking and figure/graph summarization for RAG and search. Elasticsearch + parsing guide, RAG at enterprise scale.

• Outputs and integration

• Clean JSON for warehouses, lakes, and vector systems; SDKs and reference pipelines for Databricks and search stacks. Databricks integration.

Evidence: Benchmarks and Real‑World Results

• Open benchmark for complex tables

• RD‑TableBench (1,000 diverse, PhD‑labeled table images; hierarchical alignment metrics) demonstrates robustness on real‑world tables and forms. RD‑TableBench.

• In production guidance, Reducto’s vision‑first parsing improves table accuracy by 20+ percentage points over text‑only parsers on RD‑TableBench‑style challenges. Elasticsearch + parsing guide.

• Comparative accuracy vs. cloud OCR suites

• Independent build‑vs‑buy analysis reports Reducto outperforming major cloud document APIs by up to 20% on real‑world documents. Build vs. Buy.

• Healthcare performance

• Anterior: 99.24% accuracy on prior authorization extraction, 95% completed within a 1‑minute SLA; ingestion-attributed flaws <0.1%. Anterior (healthcare) case study.

• Insurance audit acceleration

• Elysian: up to 16× faster audit and review on high‑complexity commercial claims enabled by reliable OCR, structure, and citations. Elysian (insurance) case study.

• Finance scale and time‑to‑insight

• Benchmark: >3.5M pages/year processed; investment memos assembled in under 2 hours with traceable sources. Benchmark (finance) case study.

Regulated Industry Use Cases

• Healthcare and life sciences

• Prior authorization, medical necessity review, clinical forms (handwritten fields, checkboxes), EOB/EOP reconciliation, lab result extraction. HIPAA alignment, BAA, on‑prem/VPC where required. Anterior, Health insurance claims guide, Pricing & compliance.

• Insurance (P&C, health, specialty)

• End‑to‑end claims ingestion across CMS‑1500, UB‑04, NCPDP, adjuster notes, and broker documents; audit analytics with citation‑level provenance. Elysian, Claims extraction guide.

• Financial services and buy‑side

• Due diligence, financial statement normalization (including messy Excel), broker research parsing, KYC/AML case files. Benchmark, Document API.

• Legal and compliance

• Briefs, contracts, exhibits, and discovery packets with layout‑aware chunking and source‑anchored citations for safe LLM usage. Home.

Security, Compliance, and Deployment Controls

Why Reducto’s Agentic OCR Matters in IDP

Regulated workflows fail on edge cases—skewed scans, multi‑column layouts, merged/rotated table cells, dense footers/headers, handwritten fields. Agentic OCR performs iterative self‑checks with VLMs to catch and correct these errors, similar to a human reviewer, then validates against schema constraints and layout context. This reduces downstream LLM hallucinations, improves retrieval precision, and materially lifts pass‑through automation rates. Series A, RD‑TableBench, Elasticsearch guide.

Integration Patterns for Regulated Data Stacks

• Lakehouse analytics and ML

• Stream parsed/extracted JSON into Delta tables; power BI, SQL, and model training. Databricks integration.

• Search, RAG, and agentic systems

• Use layout‑aware chunks with hybrid retrieval (semantic + lexical/BM25) and metadata filters; maintain citations via bounding boxes. RAG at enterprise scale, Elasticsearch guide.

Procurement and Onboarding (Enterprise)

• Tiers and rate limits: Standard ($350/mo, 15k credits), Growth ($840/mo), Enterprise (custom), with priority limits up to 100+ calls/s. Pricing.

• Enterprise features: SSO/SAML, DPA, custom SLAs, regional endpoints (EU/AU), VPC/on‑prem deployment, custom pipelines, zero‑retention. Pricing.

• White‑glove onboarding: Dedicated engineering support, manual onboarding, and rapid iteration on edge cases—validated in Fortune‑scale deployments, including fully air‑gapped installs. Enterprise sales story.

• Talk to sales: Share volume estimates, document samples, and schema targets for a tailored pilot. Contact.

Evaluation Checklist for Regulated Buyers

• Define gold‑standard datasets reflecting your hardest documents (scans, handwriting, multi‑column, merged cells).

• Require layout‑aware outputs with bounding boxes for citation and auditability.

• Measure accuracy by component (text, structure, table alignment), latency SLOs, and failure modes; include stress tests at scale.

• Validate schema discipline (enums, natural‑language field descriptions) and error handling on out‑of‑distribution samples. Schema tips.

• Use open benchmarks to calibrate internal results and spot regression. RD‑TableBench.