Prodigy Recipes vs GeologicAI

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionProdigy RecipesGeologicAI
PricingPaid (lifetime license + renewals)Contact sales
Core Use CaseSelf-hosted annotation tool for ML/NLPAI-driven multi-sensor core scanning for mining
DeploymentOn-premise (self-hosted Python library + web app)Service-based (samples shipped or field scanning)
Key DifferentiatorFully programmable workflows + active learning + LLM integrationIntegrated sensor suite (RGB, XRF, hyperspectral, LiDAR, LIBS) + AI logging
Target UsersNLP/ML engineers, data scientists, researchersLarge-scale mining companies, geologists
Prodigy Recipes
Prodigy Recipes

A downloadable Python annotation tool and web app you run yourself to build training and evaluation data for custom AI, ML and NLP models.

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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
—
—
Popularity
5 views
7.4k views
Skill Level
Intermediate
Advanced
API Available
Platforms
DesktopCLIAPIPlugin
Web
Categories
🏷️ Data Labeling & Training Data
👷 Construction & Field Service
Features
NER annotation with the ner.manual recipe
Span categorization and text classification labeling
Dependencies and relations annotation
Image classification and segmentation; image_manual interface
Toggle to hide all bounding boxes and shapes in image_manual (v1.18.8)
Audio annotation with spans, including audio.manual
Video annotation for audio-visual data
Prompt engineering recipes for LLM development
LLM-assisted labeling via recipes such as ner.llm.correct
Custom recipes as Python functions with @prodigy.recipe
Active learning that prioritizes the most informative examples
Custom HTML, JavaScript, themes and logos in the annotation UI
Review interface and task routing for annotation quality control
train recipe for training and fine-tuning spaCy models
Runs fully self-hosted; air-gapped operation with no internet connection
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
spaCy
Hugging Face
DSPy
Modal
llm
RMSP
Drill Hole Optimizer

Who should pick which

  • Large-scale mining company seeking rapid core analysis
    Pick: GeologicAI

    GeologicAI provides multi-sensor scanning, AI logging, and resource modeling with industry-specific domain expertise, achieving sub-48-hour turnaround and 400% acceleration.

  • NLP engineer building custom named entity recognition model
    Pick: Prodigy Recipes

    Prodigy Recipes offers pre-built workflows, active learning, and integration with spaCy and LLMs for efficient annotation, all running on-premise for data privacy.

  • Geologist requiring REE detection in drill cores
    Pick: GeologicAI

    GeologicAI's integrated LIBS sensor (via Lumo Analytics) can detect rare-earth and light elements, completing the sensor suite for critical minerals.

  • Data scientist needing training data for domain-specific ML with strict privacy
    Pick: Prodigy Recipes

    Prodigy Recipes is self-hosted, no data leaves the machine, ideal for sensitive data. Custom recipe scripts allow fully tailored workflows.

Frequently Asked Questions

Can GeologicAI be used for oil and gas core analysis?

GeologicAI primarily targets critical minerals mining, but its multi-sensor scanning could be adapted; however, its focus is on REEs and light elements via LIBS.

Does Prodigy Recipes support cloud collaboration?

Prodigy Recipes is a self-hosted tool; it does not offer built-in real-time multi-user collaboration. Task routing is available but not cloud-based.

How long does GeologicAI take to deliver results?

GeologicAI promises sub-48-hour turnaround from sample receipt, using AI to accelerate logging 4x faster than manual methods.

Is Prodigy Recipes free or open-source?

No, Prodigy Recipes is a paid product with a lifetime license. It is not open-source.

Does GeologicAI require internet connectivity?

The service is provided by GeologicAI; samples are scanned at their facilities or on-site scanning units, but the user may not need constant internet for processing.

Can I use Prodigy Recipes for computer vision projects?

Yes, Prodigy Recipes includes pre-built workflows for computer vision, as well as audio and video annotation.

What recent development has GeologicAI announced?

GeologicAI acquired Lumo Analytics to integrate LIBS-based analysis, raised $44M Series B, and acquired Resource Modeling Solutions.

What is the latest version of Prodigy Recipes?

Prodigy Recipes latest is v1.18.7 (June 2026), a bug fix release for audio spans.

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Last reviewed: July 6, 2026