Inconvo vs GeologicAI

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

Analysis generated Live tool data as of 2026-11-14
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Inconvo or GeologicAI: which should you choose?

DimensionInconvoGeologicAI
PricingFreeCustom pricing
Best forDevelopers wanting a reference implementation of a safe, multi-tenant chat-with-data agent, SaaS teams with a maintainer who can fork and self-host natural language queryingCritical minerals miners with multi-rig programs where geologist time is the bottleneck, Majors and advanced developers wanting one vendor from core scanning through resource modeling
Standout featuresOpen-source codebase on GitHub for self-hosting and forking · Semantic layer with computed columns, table prompts, and agent rules · Query validation before execution to block unsafe or invalid queriesMulti-sensor drill core scanning: RGB, XRF, hyperspectral and LiDAR in one pass · LIBS-based core analysis detecting rare-earth elements and light elements · Resource Knowledge Systems (RKS) for integrated multi-sensor data analysis
Viability score69/10038/100
APIYesNo

Inconvo is the stronger pick for developers wanting a reference implementation of a safe, multi-tenant chat-with-data agent; GeologicAI fits better for critical minerals miners with multi-rig programs where geologist time is the bottleneck.

Built from live tool data, last verified 2026-11-14.

Inconvo
Inconvo

An open-source toolkit for building chat-with-data agents that query your production database in plain language, now preserved as the Inconvo codebase after

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GeologicAI
GeologicAI

Multi-sensor drill core scanning (RGB, XRF, hyperspectral, LiDAR) plus LIBS analysis and AI-assisted core logging on the Digital Core Table.

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Pricing
Free
Contact Sales
Plans
Open sourceFree
—
Popularity
2 views
7.4k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLIAPI
Web
Categories
📊 Data & Analytics🧮 Business Intelligence
👷 Construction & Field Service
FeaturesInconvoGeologicAI
Open-source codebase on GitHub for self-hosting and forking
Semantic layer with computed columns, table prompts, and agent rules
Query validation before execution to block unsafe or invalid queries
Multi-tenancy with tenant scoping and row-level security
User context configuration for per-user data scoping
Conversation state management for multi-turn interactions
Response streaming (response.created, response.progress, response.completed)
Agent traces and observability dashboard
Usage analytics on messages and schema introspection
Conversation feedback API (create and update feedback)
MCP server deployment with OAuth support and tenant creation/deletion
Integrations with Assistant-UI and the Vercel AI SDK
Dataset file upload, list, and delete endpoints
Database connectivity: PostgreSQL, MySQL, Microsoft SQL Server, Amazon Redshift (beta), BigQuery, Supabase
CLI (npx inconvo@latest dev) and Node.js SDK for local development and embedding
Multi-sensor drill core scanning: RGB, XRF, hyperspectral and LiDAR in one pass
LIBS-based core analysis detecting rare-earth elements and light elements
Resource Knowledge Systems (RKS) for integrated multi-sensor data analysis
Digital Core Table with AI-assisted logging for geologist review and correction
AMP (Automated Modeling Platform) cloud workspace for geology and resource modeling
Mine planning inside the AMP platform
RMSP resource modeling software
Drill Hole Optimizer for prioritizing drill programs
Data products delivered from scanned core
Integration with industry-standard mining software for mine planning
Consulting services for core scanning workflows
Training services for scanning and AI-assisted logging teams
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 (vendor figure)
IntegrationsInconvoGeologicAI
PostgreSQL
MySQL
Microsoft SQL Server
Amazon Redshift
BigQuery
Supabase
Assistant-UI
Vercel AI SDK
MCP servers

Frequently Asked Questions

Which is better, Inconvo or GeologicAI?

The best choice between Inconvo and GeologicAI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Inconvo and GeologicAI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Inconvo or GeologicAI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are Inconvo and GeologicAI compared with?

Where can you read more about Inconvo and GeologicAI?

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Analysis generated by our model pipeline from live data: