Extruct AI vs Unsiloed AI: Which is Better in 2026?
A comprehensive comparison of Extruct AI and Unsiloed AI covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Extruct AI if:
- →You want a free tier to get started without commitment
- →You want more affordable paid plans (from $49/mo)
- →You need every returned answer carries its source, so claims are checkable rather than asserted or curated 10m-company index plus live-web deep search for criteria no index holds
Choose Unsiloed AI if:
- →You need a broader feature set (6 features vs 5)
- →You need parse pdfs, scans, and images into structured markdown in a single vision pass or extract typed json fields against your own schema, with confidence scores
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Extruct AI vs Unsiloed AI: At a Glance
Pricing Comparison: Extruct AI vs Unsiloed AI
Understanding the pricing differences between Extruct AI and Unsiloed AI is crucial for making the right choice. Here's how their plans compare side by side.
Extruct AI Pricing
Unsiloed AI Pricing
💡 Pricing takeaway: Extruct AI has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Extruct AI and Unsiloed AI stacks up.
What Makes Each Tool Unique
🔵 Unique to Extruct AI
Features available in Extruct AI but not in Unsiloed AI:
- ✓Every returned answer carries its source, so claims are checkable rather than asserted
- ✓Curated 10M-company index plus live-web Deep Search for criteria no index holds
- ✓Compound natural-language criteria with per-criterion match scoring
- ✓Semantic search, lookalike expansion and AI research tables with arbitrary columns
- ✓API access and Chrome extension on every plan including the free tier
🟣 Unique to Unsiloed AI
Features available in Unsiloed AI but not in Extruct AI:
- ✓Parse PDFs, scans, and images into structured Markdown in a single vision pass
- ✓Extract typed JSON fields against your own schema, with confidence scores
- ✓Split multi-document files and chunk long ones with parent-child indexing
- ✓Same API for prototype and production, with webhook callbacks and production rate limits
- ✓Zero data retention, HIPAA BAA, SSO/SAML, and EU/US data residency options
- ✓Browser playground for testing documents before integrating
Use Case Recommendations
Best for: Extruct AI
Extruct AI is a company research API that answers structured questions about businesses, and its defining property is that every answer arrives with the source it came from. That constraint is what separates it from asking a general model about companies, where a plausible-sounding revenue figure or headcount may be a hallucination with no way to check it. Two data surfaces are searched: a curated index of roughly ten million companies, and the live web when the criteria go beyond what any index holds. The query interface is natural language against a compound specification — the site's own example asks for commercial HVAC contractors in Florida serving hospitals and school districts, with fifty or more employees, a completed $5M-plus project in the last twelve months, BIM/Revit capability, and active engineering hires — and returns candidates scored against each criterion individually, so a user can see which requirement eliminated which company. Three modes cover different jobs: semantic search for finding companies by description, lookalike search for expanding from a known set, and Deep Search for researching the live web against criteria no index anticipated. AI research tables let a user add arbitrary enriched columns across a result set, with email and phone lookups available at the higher tiers. Public Data Rooms hold indexed datasets that can be browsed free and exported on a paid plan, and API access plus a Chrome extension are included on every tier including the free one.
Ideal use cases:
- •Teams or individuals who need every returned answer carries its source, so claims are checkable rather than asserted
- •Teams or individuals who need curated 10m-company index plus live-web deep search for criteria no index holds
- •Teams or individuals who need compound natural-language criteria with per-criterion match scoring
- •Teams or individuals who need semantic search, lookalike expansion and ai research tables with arbitrary columns
- •Anyone focused on company-data workflows
- •Anyone focused on lead-research workflows
Best for: Unsiloed AI
Unsiloed AI is a document-parsing API that turns PDFs, scans, images, and spreadsheets into JSON and Markdown that LLMs and agents can actually reason over. The pitch starts from a specific complaint about the alternatives: generic OCR and hand-rolled pipelines are static, so they break the moment a layout changes, and the company cites that most in-house document pipelines never make it out of pilot. Unsiloed's answer is a dual-stream vision model that reads a page the way a person does — text, tables, figures, and hierarchy in a single pass — rather than running OCR and then trying to reconstruct structure from the wreckage. Three capabilities sit on one API and can be used standalone or chained. Parse converts a document into LLM-ready Markdown while preserving the structure OCR normally flattens. Extract pulls named fields into JSON against a schema you define, with enough domain awareness to know that a freight charge is not a line item, and returns per-field confidence. Split breaks a multi-document file into its constituent documents and chops long ones into retrievable chunks, using parent-child indexing so a clause keeps its surrounding context when it lands in a vector store. The same endpoints serve a prototype and a production pipeline, and the team claims a first-place finish on olmOCR-Bench. There is a browser playground for trying it without writing code.
Ideal use cases:
- •Teams or individuals who need parse pdfs, scans, and images into structured markdown in a single vision pass
- •Teams or individuals who need extract typed json fields against your own schema, with confidence scores
- •Teams or individuals who need split multi-document files and chunk long ones with parent-child indexing
- •Teams or individuals who need same api for prototype and production, with webhook callbacks and production rate limits
- •Anyone focused on document parsing workflows
- •Anyone focused on ocr workflows
📊 Other Data & Analytics Tools to Consider
Extruct AI and Unsiloed AI aren't the only options. Here are other popular tools in the same space:
Databricks AI
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Akkio
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Hex
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MindsDB
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Obviously AI
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Julius AI
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Is one of these your tool?
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Frequently Asked Questions
Is Extruct AI better than Unsiloed AI?
It depends on your needs. Extruct AI offers 5 key features including Every returned answer carries its source, so claims are checkable rather than asserted and Curated 10M-company index plus live-web Deep Search for criteria no index holds, while Unsiloed AI provides 6 features including Parse PDFs, scans, and images into structured Markdown in a single vision pass and Extract typed JSON fields against your own schema, with confidence scores. Extruct AI uses a freemium model with a free tier, while Unsiloed AI is paid. Choose based on which features and pricing model align with your requirements.
Is Extruct AI cheaper than Unsiloed AI?
Extruct AI is cheaper, starting at $49/month compared to Unsiloed AI's $250/month. Extruct AI offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.
Can I use Extruct AI and Unsiloed AI together?
Yes, many users combine Extruct AI and Unsiloed AI in their workflow. Extruct AI excels at every returned answer carries its source, so claims are checkable rather than asserted, while Unsiloed AI shines with parse pdfs, scans, and images into structured markdown in a single vision pass. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Extruct AI and Unsiloed AI?
While both are data & analytics tools, Extruct AI emphasizes every returned answer carries its source, so claims are checkable rather than asserted, whereas Unsiloed AI is known for parse pdfs, scans, and images into structured markdown in a single vision pass. The best choice depends on your specific workflow and feature priorities.
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