Fenn vs GeologicAI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Fenn | GeologicAI |
|---|---|---|
| Target User | Privacy-conscious Mac users | Critical minerals mining companies |
| Core Function | Offline AI search & organization of local files | AI-driven multi-sensor core scanning |
| Key Differentiator | 100% on-device, private; searches video, audio, images | Integrated LIBS sensor for REE detection (via Lumo acquisition) |
| Platform | macOS (Apple Silicon required) | Web/Enterprise (contact for pricing) |
| Pricing | Free tier limited; $9/mo Flex plan | Contact-based (enterprise) |
| Recent Milestone | Integration with LM Studio, Figma & Sketch search support | $44M Series B, acquisition of Lumo Analytics & Resource Modeling Solutions |
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.
AI-powered multi-sensor core scanning and logging for critical minerals mining.
Visit WebsiteWhat 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
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
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
- Critical minerals exploration companyPick: 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 filesPick: 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 filesPick: 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 analysisPick: 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 interviewsPick: 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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Last reviewed: July 3, 2026