Inconvo vs GeologicAI

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

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionInconvoGeologicAI
PricingFree (open-source)Contact sales
Industry FocusSaaS / customer-facing analyticsMining & critical minerals
DeploymentSelf-hosted (open-source, now sunset)Managed service + consulting
Core TechnologySemantic layer + chat-with-data agentMulti-sensor scanning + AI logging
Key IntegrationsPostgreSQL, BigQuery, LangChain, Vercel AI SDKRMSP, Drill Hole Optimizer, Edge Copper
Inconvo
Inconvo

Open-source kit for building chat-with-data agents that query your production database in plain English.

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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
Free
Contact Sales
Plans
—
—
Popularity
2 views
7.4k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLIAPI
Web
Categories
📊 Data & Analytics🧮 Business Intelligence
👷 Construction & Field Service
Features
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 operations
Multi-tenancy with tenant scoping and row-level security
User context configuration for per-user data scoping
Dataset file upload, list, and delete endpoints
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
Integrations with Assistant-UI and the Vercel AI SDK
Database connectivity: PostgreSQL, MySQL, Microsoft SQL Server, Amazon Redshift (beta), BigQuery, Supabase
CLI for local development (npx inconvo@latest dev) and Node.js SDK
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
PostgreSQL
MySQL
Microsoft SQL Server
Amazon Redshift
BigQuery
Supabase
Assistant-UI
Vercel AI SDK
MCP servers
RMSP
Drill Hole Optimizer

What real users say: Inconvo 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.

Inconvo

11 mentions across 3 sources · 57% positive — mixed (averaged across 3 sources)

Hacker News, GitHub, Lemmy

What users praise

  • • Semantic layer prevents SQL hallucination; builds safe, deterministic queries
  • • Built-in multi-tenancy with tenant scoping for secure SaaS deployments
  • • Observability dashboard with traces and usage analytics for debugging
  • • MCP server support with OAuth enables easy integration into AI workflows

What frustrates them

  • • Standalone service no longer actively maintained; self-support required
  • • Missing popular databases like ClickHouse, Snowflake, and Oracle
  • • Limited community documentation and examples beyond basic setup
  • • Advanced configuration requires deep SQL and data modeling knowledge

Researched Aug 16, 2026

GeologicAI

No verifiable community signal. We scanned public discussion on Sep 29, 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

  • Mining company needing rapid core analysis
    Pick: GeologicAI

    GeologicAI offers integrated multi-sensor scanning (including LIBS for rare-earth elements) and AI logging with sub-48-hour turnaround—essential for critical minerals projects.

  • SaaS startup wanting to embed natural language querying
    Pick: Inconvo

    Inconvo’s open-source platform provides a semantic layer and MCP server for building chat-with-data agents, ideal for teams that can self-host and customize.

  • Large-scale exploration team seeking over 400% acceleration
    Pick: GeologicAI

    GeologicAI’s Drill Hole Optimizer and RMSP integration turn core data into mine-ready models, dramatically shortening project timelines.

  • Developer wanting a no-commitment proof-of-concept for chat-with-data
    Pick: Inconvo

    Inconvo is free and open-source, allowing rapid prototyping without upfront costs—though sunset means no official support.

  • Enterprise needing end-to-end workflow with consulting
    Pick: GeologicAI

    GeologicAI provides domain expertise and consulting throughout the mining cycle, backed by recent funding and acquisitions.

Frequently Asked Questions

Can I use Inconvo for free?

Yes, after February 2026 it is open-source and free to use, but you must self-host and maintain it. The cloud service has been sunset.

Does GeologicAI detect rare-earth elements?

Yes, through its integration of LIBS sensors via the acquisition of Lumo Analytics, GeologicAI can detect rare-earth and light elements.

Is Inconvo still supported?

No, Inconvo has been sunset. The open-source code is available, but there is no official support or updates.

What databases does Inconvo support?

Inconvo supports PostgreSQL, MySQL, Microsoft SQL Server, Amazon Redshift (beta), BigQuery, and Supabase.

How fast is GeologicAI’s core logging?

GeologicAI claims 4x faster than manual logging, with sub-48-hour turnaround times.

Can GeologicAI integrate with existing resource modeling software?

Yes, GeologicAI’s RMSP module and Drill Hole Optimizer integrate into the modeling workflow, and they also partnered with Edge Copper.

Is Inconvo suitable for non-technical users?

No, Inconvo requires coding to set up and integrate. It is designed for developers.

Does GeologicAI offer consulting services?

Yes, GeologicAI provides domain expertise and end-to-end workflow support, including consulting throughout the mining cycle.

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Last reviewed: July 3, 2026