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Reducto vs Sensible

Side-by-side comparison of Reducto and Sensible. See how they stack up in pricing, features, and real-world use cases for insurance.

Reducto

by Reducto · San Francisco, CA

Category

Document Intelligence

Pricing

Paid from $0.05/page

Rating
4/5
Strengths
  • Handles the complex table structures found in SOVs and bordereaux that simpler parsers fail on
  • Visual grounding provides an audit trail linking extracted data to source document coordinates
  • Per-page pricing scales linearly without annual license commitments
Limitations
  • No insurance-specific pre-built extractors; teams must configure extraction for each document type
  • Limited workflow tooling means extraction output needs separate routing and validation logic
  • Early-stage company with a smaller customer base than established IDP vendors
Use Cases
  • 01 Extracting property schedules from statements of values with merged cells and multi-page tables
  • 02 Parsing scanned loss runs from multiple carrier formats into a normalized structure
  • 03 Processing complex reinsurance bordereaux with nested table layouts
  • 04 Converting submission packages into LLM-ready JSON for automated underwriting analysis
Verdict

Reducto is the best choice for teams processing complex insurance documents with multi-page tables and mixed layouts, particularly SOVs and property schedules where table extraction accuracy is the primary bottleneck.

Sensible

by Sensible · San Francisco, CA

Category

Intelligent Document Processing

Pricing

Paid from $499/mo

Rating
4/5
Strengths
  • Pre-built ACORD extractors (25, 28, 125, 126, 130) work out of the box with minimal configuration
  • JSON-based SenseML configs can be version-controlled alongside application code, fitting dev team workflows
  • Per-document pricing is predictable and scales linearly, unlike annual license models
Limitations
  • No built-in workflow engine; extracted data must be routed through separate automation tooling
  • Requires developers to configure and maintain extraction rules, not suitable for underwriter self-service
  • Specialty and surplus lines documents outside standard ACORD forms require custom configuration
Use Cases
  • 01 Extracting structured data from ACORD applications during submission intake
  • 02 Parsing loss run PDFs into structured JSON for underwriting analysis
  • 03 Processing statements of values with complex property schedules into spreadsheet-ready output
  • 04 Verifying certificate of insurance coverage details against requirements
Verdict

Sensible is the best fit for dev teams at MGAs and InsurTech startups building submission intake pipelines who want transparent pricing and full API control over their document extraction logic.