Paloma vs GeologicAI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Paloma | GeologicAI |
|---|---|---|
| Target Industry | Manufacturing, logistics, real economy | Critical minerals mining |
| Core Technology | AI-native custom software + natural language queries | Multi-sensor core scanning + AI logging |
| Pricing Model | Contact for pricing (consulting-led) | Contact for pricing (enterprise) |
| Deployment | Software-only (connects to existing systems) | Integrated hardware + software platform |
| Key Integration | ERP, email, chat, spreadsheets | RMSP, Drill Hole Optimizer, Lumo Analytics LIBS |
| Recent Funding | No recent news | $44M Series B (2026) |
GeologicAI is the clear choice for mining companies needing rapid, integrated core scanning and AI modeling, especially after acquiring Lumo Analytics for REE detection. Paloma suits manufacturers and logistics firms that want custom AI tools to automate manual workflows and query operational data in plain English. Choose based on your industry: mining vs. general real economy.
What real users say: Paloma 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.
Paloma
62 mentions across 6 sources · 47% positive — mixed
Hacker News, YouTube, Product Hunt, Bluesky, GitHub, Lemmy
What users praise
- • Promises math-based computation, not language prediction for accuracy.
- • Claims full audit trail with timestamps and user attribution.
- • Tailors AI to business-specific terminology and rules.
- • Offers trial engagement on highest-impact problem first.
What frustrates them
- • No real community validation or user reviews exist.
- • Hacker News suggests it's part of a 'scraping the bottom' YC batch.
- • Product Hunt listing appears to be for a different product.
- • GitHub repository is an old, unrelated Rails gem.
Researched Jul 26, 2026
GeologicAI
29 mentions across 2 sources · 55% positive — mixed
Hacker News, YouTube
What users praise
- • Integrated multi-sensor scanning (RGB, XRF, hyperspectral, LiDAR) in one platform.
- • LIBS via Lumo Analytics enables detection of rare-earth elements and light elements.
- • AI-assisted logging on Digital Core Table improves consistency and reduces errors.
- • Sub-48-hour turnaround time and 4x faster logging than manual methods.
What frustrates them
- • Virtually no direct user reviews or community discussion to validate claims.
- • High investment cost and advanced skill level needed to get full value.
- • Requires in-house geological expertise; not suitable for small or junior teams.
- • Proprietary ecosystem may create lock-in and limit integration with other tools.
Researched Aug 21, 2026
Who should pick which
- Mining company needing rapid core analysisPick: GeologicAI
GeologicAI's multi-sensor scanning, AI logging, and RMSP integration deliver sub-48-hour turnaround and 4x faster logging, ideal for accelerating critical minerals projects.
- Manufacturing operations manager drowning in spreadsheetsPick: Paloma
Paloma connects to your ERP and lets you ask natural-language questions about inventory and costs, automating manual data movement and building custom tools.
- Geologist wanting to reduce manual logging errorsPick: GeologicAI
GeologicAI's Digital Core Table provides consistent AI-powered logging 4x faster than manual, with fewer errors and integrated LIBS for REE detection.
- Logistics team needing to trace cost spikesPick: Paloma
Paloma's natural language queries with traceable answers allow you to ask 'Why did logistics costs go up last month?' and get detailed, audit-trailed responses.
- Large-scale mining project requiring end-to-end workflowPick: GeologicAI
GeologicAI covers scanning, logging, modeling (RMSP), and mine planning (Drill Hole Optimizer) in one platform, delivering over 400% project acceleration.
Frequently Asked Questions
Paloma vs GeologicAI: which should you choose?
GeologicAI is the clear choice for mining companies needing rapid, integrated core scanning and AI modeling, especially after acquiring Lumo Analytics for REE detection. Paloma suits manufacturers and logistics firms that want custom AI tools to automate manual workflows and query operational data in plain English. Choose based on your industry: mining vs. general real economy.
Can GeologicAI detect rare-earth elements?
Yes, through the recent acquisition of Lumo Analytics, GeologicAI integrated LIBS technology to detect rare-earth and light elements, completing its sensor suite.
Does Paloma require coding to use?
No, Paloma builds custom AI-native software for you. You do not need to code; the team creates tools tailored to your workflows based on an operational diagnostic.
What industries does GeologicAI serve?
GeologicAI focuses on critical minerals mining, including copper, lithium, rare earths, and other metals, with applications from exploration to resource modeling.
What industries does Paloma serve?
Paloma serves real economy businesses that make physical products: manufacturing, logistics, and other hands-on industries with spreadsheets, ERPs, and field data.
How fast is GeologicAI's turnaround?
GeologicAI offers sub-48-hour turnaround from core scanning to AI logging, claiming 4x faster than manual methods.
Can Paloma automate data entry from paper forms?
Yes, Paloma can digitize pen-and-paper data and field reports, connecting them to your ERP and automating workflows.
Does GeologicAI integrate with existing mine planning software?
Yes, it integrates with RMSP and the Drill Hole Optimizer, and through recent partnerships with Edge Copper, it extends to exploration decision engineering.
Is Paloma a self-service platform?
No, Paloma is a consulting-led engagement. They start with an operational diagnostic and build custom tools for you, not a do-it-yourself no-code platform.
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Last reviewed: July 3, 2026