Fenn vs GeologicAI

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionFennGeologicAI
Target UserPrivacy-conscious Mac usersCritical minerals mining companies
Core FunctionOffline AI search & organization of local filesAI-driven multi-sensor core scanning
Key Differentiator100% on-device, private; searches video, audio, imagesIntegrated LIBS sensor for REE detection (via Lumo acquisition)
PlatformmacOS (Apple Silicon required)Web/Enterprise (contact for pricing)

These tools solve entirely different problems. GeologicAI is a specialized industrial platform for mining companies needing rapid, sensor-rich core analysis with sub-48-hour turnaround. Fenn is a personal productivity tool for Mac users who want privacy-first semantic search across all local files. Choose based on your role: if you're in critical minerals exploration, pick GeologicAI; if you're a creative or knowledge worker managing a messy local drive, go with Fenn.

Try FennTry GeologicAI
Fenn
Fenn

Fenn is a private, on-device AI search app for Apple Silicon Macs that finds the exact page, timestamp, or screen you need.

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GeologicAI
GeologicAI

Multi-sensor drill core scanning (RGB, XRF, hyperspectral, LiDAR, LIBS) plus AI-assisted logging and resource modeling for hard-rock miners.

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Pricing
Paid
Contact Sales
Plans
$9/mo billed as one annual payment
$249 one-time
$999 one-time
—
Popularity
2 views
7.4k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
Web
Categories
💾 Local & On-Device AI📝 Notes & Knowledge Management❓ Document Q&A & Summarizing
👷 Construction & Field Service
Features
On-device indexing of local files with no uploads and offline operation
Search inside documents: PDF, Word, PowerPoint, Excel, Pages, Keynote
Search inside creative files: InDesign, Illustrator, Photoshop, RAW, Figma
Search inside audio and video: MP3, OGG, WAV, MP4, MOV, AVI, MKV
Index app data from Apple Notes, Apple Mail, Notion, Bear, and Craft
Index developer files: Markdown, Python, XML, HTML, TXT
Screen memory search for meetings, chats, shared screens, and dashboards
Agentic search that evaluates files against criteria without opening them
Chat with files with citations back to the source
Auto-organize folders that stay current as files change
AI file renaming based on content for images, audio, video, and PDF
Face recognition search inside video
Search by content similarity
Convert documents, images, invoices, and videos into structured CSV
File anonymizer that strips sensitive data before sharing with ChatGPT
Multi-sensor core scanning combining RGB, XRF, hyperspectral and LiDAR in a single integrated pass
LIBS-based drill core analysis detecting rare-earth elements (REEs) and light elements
AI-assisted core logging on the cloud-connected Digital Core Table
Resource Knowledge Systems (RKS) for integrated multi-sensor data analysis
Geologists review and confirm AI-generated logs rather than describing core from scratch
Reported 4x faster logging than manual core description (vendor figure)
Reported sub-48-hour turnaround from core to data products (vendor figure)
Reported +400% project acceleration across the mining cycle (vendor figure)
Resource modeling with geostatistics and uncertainty quantification
Drill Hole Optimizer for prioritizing and planning drill programs
Integration with RMSP and other industry-standard mining software for mine planning
Digital core collaboration for distributed geology teams
Consulting services for core scanning workflows
Training services for scanning and logging teams
Resource exploration strategy services for critical minerals programs
Integrations
Notion
Bear
Craft
Apple Notes
Apple Mail
Figma
RMSP
Drill Hole Optimizer

What real users say: Fenn 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.

Fenn

33 mentions across 3 sources · 28% positive — critical (averaged across 3 sources)

Hacker News, Product Hunt, Lemmy

What users praise

  • • Semantic search finds files by content, not just filenames
  • • Works fully offline with no cloud uploads or account needed
  • • Indexes video, audio, images, PDFs, and design files
  • • Native Apple Silicon support ensures good performance

What frustrates them

  • • Indexing may consume significant disk space over time
  • • Future pricing unannounced creates uncertainty for adopters
  • • Limited community feedback makes it hard to gauge reliability
  • • Search depth in images and audio not fully clear

Researched Jul 3, 2026

GeologicAI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “GeologicAI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Critical minerals exploration company
    Pick: GeologicAI

    Needs end-to-end core scanning with LIBS for REE detection, AI logging, and resource modeling. GeologicAI's sub-48-hour turnaround and RMSP integration accelerate project timelines.

  • Privacy-conscious Mac user with chaotic files
    Pick: Fenn

    Fenn provides offline semantic search across all file types, chat with files, and duplicate removal—perfect for organizing a personal digital library without cloud reliance.

  • Designer managing Figma/Sketch files
    Pick: Fenn

    Fenn indexes Figma and Sketch files (as of June 2026 news), enabling content-level search in design assets, a feature missing from native OS search.

  • Remote geologist needing portable core analysis
    Pick: GeologicAI

    GeologicAI's mobile scanning service delivers results in under 48 hours, reducing fieldwork time by 4x compared to manual logging.

  • Researcher analyzing video/audio interviews
    Pick: Fenn

    Fenn transcribes audio and video offline, and allows asking questions about the content—useful for qualitative research without privacy risks.

Frequently Asked Questions

Fenn vs GeologicAI: which should you choose?

These tools solve entirely different problems. GeologicAI is a specialized industrial platform for mining companies needing rapid, sensor-rich core analysis with sub-48-hour turnaround. Fenn is a personal productivity tool for Mac users who want privacy-first semantic search across all local files. Choose based on your role: if you're in critical minerals exploration, pick GeologicAI; if you're a creative or knowledge worker managing a messy local drive, go with Fenn.

Can GeologicAI detect rare earth elements?

Yes, through the acquisition of Lumo Analytics (2026), GeologicAI now integrates LIBS-based analysis that can detect rare-earth and light elements, completing its sensor suite.

Is Fenn free?

Fenn has a free tier with limited functionality and a Flex plan at $9/month. The exact free tier limits are not specified in the facts.

Does Fenn work on Windows or Intel Macs?

No, Fenn is macOS-only and requires Apple Silicon (M1 or later). It does not support Windows or Intel Macs.

What integrations does GeologicAI have?

GeologicAI integrates with RMSP, Drill Hole Optimizer, and Edge Copper for resource modeling and mine planning.

Can Fenn search inside design files?

Yes, Fenn indexes and searches content inside Figma and Sketch files (announced June 2026), along with common document and image formats.

Is GeologicAI's scanning service available on-site?

GeologicAI offers scanning either by sending cores to their facility or deploying on-site, with sub-48-hour turnaround.

Does Fenn require internet?

No, Fenn operates entirely offline for indexing and search. No data leaves your Mac.

Which tool is better for team collaboration?

Neither is designed for collaboration. GeologicAI is enterprise but team workflows are implicit; Fenn is single-user only.

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Explore each tool further

Fenn
View Fenn reviewFenn alternatives
GeologicAI
View GeologicAI reviewGeologicAI alternatives

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Best AI Local & On-Device AI toolsBest AI Construction & Field Service toolsBest AI Notes & Knowledge Management toolsBest AI Document Q&A & Summarizing tools
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Last reviewed: July 3, 2026