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Introducing Respan Router

Carbon (Perplexity) vs Reducto (2026)

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Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
B2B startups needing data ingestion from multiple sources
Best For
Developers building RAG for finance, legal, and complex documents
Product Summary

Carbon, acquired by Perplexity in December 2024, provided pre-built data connectors for ingesting unstructured data from 25+ sources into LLM applications. Its managed API was wound down in March 2025, with its technology now integrated into Perplexity's enterprise data connectivity stack. Carbon's connectors supported Google Drive, Notion, Slack, Confluence, and other popular data sources for RAG pipelines.

Product Summary

Vision-first document parsing using VLMs. Extracts complex tables, charts, and layouts from PDFs.

Starting Price
usage-based
Starting Price
usage-based
Free Trial
No
Free Trial
No
Free Version
No
Free Version
No
Website
Website

Key features

Core capabilities each platform advertises.

Carbon (Perplexity)Carbon (Perplexity)
  • Data connectors
  • Google Drive
  • Notion
  • Slack integration
ReductoReducto
  • Vision parsing
  • PDF extraction
  • Table extraction
  • VLM-based

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Carbon (Perplexity)Carbon (Perplexity)

Pros

  • Pre-built connectors for easy integration with multiple data sources
  • AI-optimized data processing with automatic chunking, embedding, and cleaning
  • Enterprise-grade security with SOC 2 Type II compliance and end-to-end encryption
  • Streamlined RAG development with production-ready infrastructure
  • Now backed by Perplexity AI with enhanced enterprise capabilities

Cons

  • Company was acquired and original standalone service is winding down
  • Pricing information not transparently available
  • Limited documentation on migration paths after acquisition
  • Uncertain future roadmap as integration with Perplexity progresses
ReductoReducto

Pros

  • Exceptionally well-funded with $108M total raised, indicating strong investor confidence
  • Impressive growth with 6x increase in monthly volume, processing nearly 1 billion pages
  • State-of-the-art MIT-built vision models for human-like document reading
  • Strong enterprise adoption including Fortune 10 companies and top hedge funds
  • Expanded capabilities with document generation (Reducto Edit) alongside parsing

Cons

  • Credit-based pricing may be difficult to predict for variable workloads
  • Relatively new company (founded 2023) despite strong funding
  • Pricing details not fully transparent on website
  • May be overkill for simple document parsing needs

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