Box Extract vs GeologicAI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionBox ExtractGeologicAI
PricingPaid (enterprise pricing; not publicly listed)Contact (custom pricing)
Primary UseAI-powered data extraction from documentsAI-driven multi-sensor core scanning for mining
Key SensorsN/A (document-based)RGB, XRF, hyperspectral, LiDAR, LIBS (via Lumo Analytics)
TurnaroundScalable batch processingSub-48 hours for core scanning
IntegrationsSalesforce, Workday, Slack, Oracle NetSuite, Microsoft 365, Google Workspace, Adobe, AI modelsRMSP, Drill Hole Optimizer, Edge Copper
Latest NewsNoneAcquired Lumo Analytics (LIBS), raised $44M Series B, acquired Resource Modeling Solutions

These tools serve entirely different markets: GeologicAI is for critical minerals mining companies needing rapid, multi-sensor core scanning and AI logging, while Box Extract is for enterprise teams automating data extraction from documents. Choose GeologicAI for mining workflows; choose Box Extract for document processing.

Box Extract
Box Extract

Extract structured data from unstructured documents at scale, inside Box.

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GeologicAI
GeologicAI

AI-powered multi-sensor core scanning and logging for critical minerals mining.

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Pricing
Paid
Contact Sales
Plans
$47/user/month (annual commitment)
$67/user/month (annual commitment)
Contact sales
Contact sales
Contact sales
Popularity
1 views
7.4k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
Web
Categories
📑 Document AI & Data Extraction
👷 Construction & Field Service
Features
Key-value pair extraction using agentic agents
Standard Extract Agent for basic fields (names, dates, amounts)
Enhanced Extract Agent for complex documents with tables and graphs
Custom extract agents with configurable prompts and rules
Field-level AI prompts for precise extraction instructions
Automatic data extraction on select folders
AI-recommended data templates (coming soon)
Test and review confidence scoring for extraction rules (coming soon)
Automated AI refinement based on user corrections (coming soon)
Extract agent APIs for third-party integration
Batch processing of thousands of documents
Extraction from documents, spreadsheets, images, and video
Integrated OCR with fallback for scanned documents
Manual review and correction interface
Metadata tagging to drive workflows and dashboards
Multi-sensor core scanning (RGB, XRF, hyperspectral, LiDAR)
LIBS detection of rare-earth and light elements
AI-assisted core logging on Digital Core Table
Cloud-based digital core collaboration
Integration with RMSP and Drill Hole Optimizer
Sub-48-hour turnaround time
4x faster logging than manual methods
Over 400% project acceleration
End-to-end workflow from scanning to modeling
Consulting and training services
High-fidelity data capture and analytics
Consistent logging with fewer errors
Geostatistical modeling tools
Real-time data integration for drill hole optimization
Decision engineering for critical mineral exploration
Integrations
Salesforce
Snowflake
Databricks
Openflow
Slack
Microsoft 365
Google Workspace
Adobe
Claude
ChatGPT
Gemini
Microsoft Copilot
Box Automate
Box Apps
Box Relay
RMSP
Drill Hole Optimizer

What real users say: Box Extract vs GeologicAI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Box Extract

16 mentions across 2 sources · 0% positive — critical

Hacker News, Lemmy

What users praise

  • Built-in no-code setup for common extraction tasks.
  • Integrates with Box Automate for end-to-end workflows.
  • Compliant with enterprise security and privacy standards.
  • Supports batch processing of thousands of documents.

What frustrates them

  • No community reviews or user feedback available.
  • Extraction accuracy is unverified by real users.
  • Potentially high cost for small businesses.
  • Dependency on Box platform limits flexibility.

Researched Jul 3, 2026

GeologicAI

20 mentions across 2 sources · 55% positive — mixed

Hacker News, YouTube

What users praise

  • Integrated multi-sensor suite (RGB, XRF, hyperspectral, LiDAR) provides rich core data.
  • LIBS detection of REEs and light elements is a unique capability post-Lumo acquisition.
  • 4x faster logging than manual methods, reducing project timelines significantly.
  • Sub-48-hour turnaround times appeal to fast-moving exploration cycles.

What frustrates them

  • Zero independent community reviews make it impossible to validate claims.
  • Contact-based pricing hides true costs, making budgeting challenging.
  • Requires advanced geological expertise; not accessible to novices.
  • The platform is overkill for small exploration companies or single-project teams.

Researched Aug 28, 2026

Who should pick which

  • Mining company geologist
    Pick: GeologicAI

    Needs rapid, multi-sensor core scanning and AI logging to accelerate critical minerals exploration.

  • Enterprise accounts payable team
    Pick: Box Extract

    Requires automated invoice data extraction with seamless integration into Salesforce, Workday, and Slack.

  • Critical minerals exploration startup
    Pick: GeologicAI

    End-to-end workflow from core scanning to resource modeling, with LIBS for detecting REEs, accelerates project timelines.

  • Legal department contract analyst
    Pick: Box Extract

    Need to extract key clauses from contracts at scale, with AI-powered templates and manual review interface.

  • Mine planning engineer
    Pick: GeologicAI

    Drill Hole Optimizer and RMSP integration turn core data into mine-ready models for planning.

Frequently Asked Questions

Box Extract vs GeologicAI: which should you choose?

These tools serve entirely different markets: GeologicAI is for critical minerals mining companies needing rapid, multi-sensor core scanning and AI logging, while Box Extract is for enterprise teams automating data extraction from documents. Choose GeologicAI for mining workflows; choose Box Extract for document processing.

Can GeologicAI detect rare-earth elements?

Yes, via its LIBS sensor acquired from Lumo Analytics, it can detect rare-earth and light elements.

Does Box Extract support scanned documents?

Yes, it has OCR fallback for scanned documents.

What is GeologicAI's turnaround time?

Sub-48 hours for core scanning and logging.

Can Box Extract extract tables from documents?

Yes, it supports table extraction for line items and totals.

Is GeologicAI suitable for small exploration teams?

No, it is best for large-scale projects; small teams may find it too expensive or complex.

What integrations does Box Extract have?

Salesforce, Workday, Slack, Oracle NetSuite, Microsoft 365, Google Workspace, Adobe, and AI models like Claude, ChatGPT, Gemini, Microsoft Copilot.

Does GeologicAI offer resource modeling?

Yes, with its RMSP module and Drill Hole Optimizer.

Is Box Extract free?

No, it is a paid enterprise tool, pricing not publicly listed.

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Last reviewed: July 3, 2026