Comparison

Geosys AI vs Atlas

Geosys AI and Atlas are both browser-based platforms that use AI to turn plain-language requests into maps and analysis, and both suit teams that do not want to write GIS code. Atlas publishes its prices and a free tier and offers real-time co-editing, no-code forms and dashboards, while Geosys AI adds LiDAR and stockpile volumes, checked AI results and client delivery through expiring share links. Choose on the workflows you need most, and note that "not confirmed" means we could not find something in public documentation, not that it is missing.

Last reviewed: September 2026. Sources are listed below.

Quick comparison

Geosys AI and Atlas at a glance

Quick comparison of Geosys AI and Atlas
Dimension	Geosys AI	Atlas
Platform	Browser-based, project-based	Browser-based, cloud-native, no install[1]
AI assistant	Plain-language analysis with a checking stage; ChatGPT and Claude via MCP on request	Navi builds maps, dashboards and workflows from prompts[1]
Data sources	Files, SQL Server, PostgreSQL, WMS, WMTS, WFS	Broad list including warehouses, Google Sheets, OGC and ArcGIS[2]
LiDAR and volumes	LAS, LAZ, E57 viewer and stockpile volumes	Not confirmed in public documentation[2]
Field capture	Offline-capable field app, on request	Atlas Forms, no app download[4]
Collaboration	Roles, comments, shared themes	Real-time multi-user editing and comments[2]
Client sharing	Expiring share links and customer portals	Share links, password protection, embeds[2][3][5]
Pricing model	Arranged with our team	Public free tier and paid plans[3]

Platform and accessibility

Platform, audience and who it is for

Both products run in the browser. The difference is mostly in the audiences each one names.

Platform and deployment

Geosys AI

Browser-based, project-based platform with 2D and 3D maps and a point cloud viewer. A desktop upload app and a QGIS plugin help move data in, available on request. Self-hosting is not described in our public materials.

Atlas

Browser-based and cloud-native with no install. Atlas states that data stays user-owned and can be exported on cancellation.[1]

Takeaway. Both are used in the browser with nothing to install. Atlas states an export-on-cancellation policy for your data.

Who it is built for and skill level

Geosys AI

Built for teams that want answers from spatial data without scripting, such as survey, engineering, infrastructure and consultancy teams that also deliver work to clients. GIS specialists can use repeatable slash commands and QGIS sync.

Atlas

Positioned for GIS professionals and non-specialists, with named segments such as energy developers, asset managers, field operations, real estate and municipalities.[1]

Takeaway. Both target mixed-skill teams. Atlas names its segments explicitly, while Geosys AI leans toward survey, engineering and delivery work.

Ease of use

Ease of use and AI assistance

Both put an AI assistant in front of the map. They differ in how results are checked and in assistant connectors.

Ease of use

Geosys AI

Ask questions in plain language in a chat panel, or run deterministic slash commands such as buffer, clip and dissolve. Styling, attribute tables and layer management all happen in the browser.

Atlas

An AI assistant called Navi builds maps, dashboards and workflows from prompts, with editable outputs. Analysis is point-and-click with no SQL required, according to Atlas.[1][2]

Takeaway. Both aim for plain-language use. Geosys AI also offers repeatable slash commands for people who prefer fixed steps.

AI and assistants

Geosys AI

Natural-language analysis where results pass a checking stage that recomputes them independently before they are published. Ambiguous questions return options to pick from. ChatGPT and Claude can connect through MCP, available on request. An organization can turn all AI off.

Atlas

Navi runs from prompts, with scheduled reports and alerts, and the free tier includes a monthly quota of Navi runs. Verification of AI results and an MCP or assistant connector are not confirmed in public documentation.[1][3]

Takeaway. Atlas has a mature in-app assistant with scheduling. Geosys AI adds a result-checking stage and MCP connectors, which are available on request.

Data import

Data import, formats and connectors

What you can bring in, and where it can live.

Data import and formats

Geosys AI

Vector: Shapefile (zipped or direct), GeoJSON and GeoPackage. Raster: GeoTIFF. Tabular: CSV and XLSX. Point clouds: LAS, LAZ and E57. DXF through CAD extraction, available on request.

Atlas

Lists Shapefile, GeoJSON, KML, GeoPackage, GDB, GeoTIFF and tabular files, and states support for 30+ file formats. Point cloud formats are not listed.[2]

Takeaway. Atlas states a broader list of vector formats. Geosys AI adds LAS, LAZ and E57 point clouds.

Data sources and connectors

Geosys AI

External SQL Server and PostgreSQL databases as live or snapshot datasets, plus external WMS, WMTS and WFS layers. National open-data sources are available on request. Warehouse connectors such as BigQuery or Snowflake are not described in our public materials.

Atlas

Lists PostgreSQL, BigQuery, Snowflake, Databricks, MySQL, SQL Server, Oracle, Google Sheets, Airtable, Smartsheet, REST APIs, OGC services, ArcGIS Feature Servers and NASA Earthdata. Its pricing page limits database connections to Team and Enterprise plans.[2][3]

Takeaway. Atlas lists a wider set of connectors, including warehouses. Geosys AI connects to SQL Server and PostgreSQL and to OGC layers.

Spatial analysis

Spatial analysis, LiDAR and 3D

General-purpose analysis overlaps. Point clouds and street-level imagery are where the two differ most.

Spatial analysis

Geosys AI

Buffer, intersect, clip, difference, union and dissolve as repeatable commands, plus AI-written analyses with charts, spatial joins and hex grids. Terrain, flood and solar simulations run on elevation models. Isochrones are available on request.

Atlas

States 50+ operations, including buffer, isochrones, routing, join, clip, dissolve, raster calculator, zonal statistics, H3 and hotspot analysis, without SQL.[2]

Takeaway. Both cover the common vector operations. Atlas lists more built-in operation types; Geosys AI pairs commands with AI-written analyses and terrain simulations.

LiDAR, point clouds and stockpile volumes

Geosys AI

Upload LAS, LAZ or E57 and explore the cloud in the browser next to your map. Draw a polygon to get stockpile fill, cut and net volume, with batch mode. Access is enabled per user and project. CAD extraction, shaded relief and local storage are available on request.

Atlas

Not confirmed in public documentation. The features page does not mention LiDAR, point clouds or volume measurement.[2]

Takeaway. If point clouds or stockpile volumes are central to your work, confirm with Atlas directly. Geosys AI documents this workflow.

3D and street-level imagery

Geosys AI

A 3D globe view and street-level imagery layers, either flat photos or 360-degree panoramas, including panoramas viewed from inside a point cloud when pose data exists. Oblique imagery is available on request.

Atlas

A 3D scene viewer with terrain and building extrusion. Street-level imagery is not confirmed in public documentation.[2]

Takeaway. Both offer 3D. Street-level imagery is documented on the Geosys AI side only.

Collaboration and sharing

Field capture, collaboration and sharing

How teams gather data, work together and deliver results to clients.

Field and mobile capture

Geosys AI

A phone-friendly field app for GPS-tagged notes and photos that keeps working offline and syncs when the connection returns, plus map comments. Available on request.

Atlas

Atlas Forms is a no-code form builder with photo and video capture, GPS and conditional logic that syncs to maps in real time and is deployed by link with no app download. Offline capture is not confirmed.[4][8]

Takeaway. Atlas Forms is a strong no-code option. Geosys AI documents offline capture, with the field app available on request.

Collaboration

Geosys AI

Project members with viewer, editor, analyst and admin roles, map comments, and saved map themes that can be shared with the project. Simultaneous real-time co-editing of one map is not described in our public materials.

Atlas

Real-time multi-user editing and comments. Maps are private by default.[2]

Takeaway. Atlas documents real-time co-editing, which Geosys AI does not describe. Geosys AI offers role presets and shared saved themes.

Sharing with clients

Geosys AI

Read-only share links that open without an account, with a required expiry, optional password, an AI question budget and revocation. Customer portals gather all of a customer's projects behind one link.

Atlas

Public share links, password-protected maps on Team plans and up, and iframe embeds of public interfaces.[2][3][5]

Takeaway. Both share by link. Geosys AI adds mandatory expiry, an AI question budget per link and customer portals; Atlas adds embeds.

White-label

Geosys AI

Per-organization logo, colors, theme, sign-in page and dashboard address, plus a reseller hierarchy that groups projects under customers.

Atlas

White-label branding is listed as a feature. Its pricing page shows embeds without the Atlas logo from the Pro plan and white-labeled embeds on Enterprise. Multi-tenant client hierarchies are not confirmed.[2][3]

Takeaway. Both support branding. Geosys AI documents a reseller hierarchy for managing many client accounts.

Interactivity and applications

Apps, security and developer tooling

What you can publish, how access is controlled and how you can extend the platform.

Apps and dashboards

Geosys AI

Map dashboards with saved themes, timeline filtering, charts and overlays, plus re-runnable saved reports. It is not positioned as a no-code app builder.

Atlas

Dashboards, interactive interfaces, live pipelines and scheduled reports. Atlas's own comparison article calls it a no-code app builder.[1][6]

Takeaway. Atlas leans further into no-code interfaces. Geosys AI focuses on map dashboards, charts and saved reports.

Security and access control

Geosys AI

Role presets with per-member permissions, multi-factor sign-in, account lockout, organization isolation, an activity log and an organization-wide AI off switch. Data can stay on your own local storage, available on request. Single sign-on is not described in our public materials, and we make no compliance certification claims.

Atlas

Password-protected sharing and project-level permissions on Team plans. Single sign-on and audit-log details are not confirmed in the pages we reviewed.[3]

Takeaway. Neither vendor documents single sign-on in the pages we reviewed. Compare roles and sharing controls against your own requirements.

API and developer tooling

Geosys AI

An MCP assistant connector with more than 40 tools and scoped OAuth access, a QGIS plugin and a desktop upload app, all available on request. A public REST API and developer documentation are not described in our public materials.

Atlas

Public API or MCP documentation is not confirmed. REST APIs appear as a data source.[7]

Takeaway. Geosys AI documents an MCP connector, available on request. Neither publishes a public REST API in the pages we reviewed.

Cost and pricing

Pricing model and typical fit

We do not quote competitor prices because they change. Check the vendor page for current terms.

Pricing model

Geosys AI

Arranged with the Geosys AI team rather than published on this site. Use the contact form for a quote.

Atlas

Public free tier and paid plans, with per-seat pricing on some tiers and quotas on projects, storage and AI runs. Enterprise is custom. Reviewed September 2026; check the Atlas pricing page for current terms.[3]

Takeaway. Atlas is easier to try without talking to anyone. Geosys AI pricing is arranged with our team.

Typical fit

Geosys AI

Survey, engineering, infrastructure and consultancy teams that want plain-language answers, LiDAR volumes and client delivery in one browser tool.

Atlas

Mixed-skill teams that want fast browser maps, forms and dashboards, with public pricing to start.[1][3]

Takeaway. Match the tool to your main workflow rather than to the feature count.

Where Atlas is stronger

Public pricing with a free tier, so a small team can start without a sales conversation.
Built-in field forms with photo capture that are deployed by link with no app download.
Real-time multi-user editing, embeds and no-code interface building.
A wider list of data connectors, including warehouses, Google Sheets, OGC services, ArcGIS Feature Servers and NASA Earthdata.
A lower skill barrier for analysis, since Atlas states that no SQL is required.

See the Sources list for the pages behind each statement.

Where Geosys AI is stronger

LiDAR and point clouds, including stockpile fill, cut and net volume, which Atlas does not confirm in public documentation.
AI results that pass a checking stage before they are published.
Client delivery through expiring, read-only share links and customer portals, with a reseller hierarchy for many client accounts.
An MCP connector for ChatGPT and Claude, available on request.
Point clouds, rasters and street imagery can stay on your own local storage, available on request.
Street-level imagery layers and an offline-capable field app, available on request.

Decision guide

Which should you choose?

Choose Atlas if

You want to start on a free plan and see public prices before speaking to anyone.
Your team needs real-time co-editing, no-code forms and dashboards built from prompts.
You need to connect to many sources, such as warehouses, spreadsheets and ArcGIS services.

Choose Geosys AI if

You work with LiDAR point clouds or need stockpile volumes in the same tool as your maps.
You deliver results to clients and want expiring, read-only links or a branded customer portal.
You want AI results that are checked before publication, or want to ask questions from Claude or ChatGPT.

FAQ

Frequently asked questions

How is Geosys AI different from Atlas?

Both are browser-based and use AI to turn plain-language requests into maps and analysis. Atlas publishes prices and a free tier and offers real-time co-editing and no-code forms. Geosys AI adds LiDAR point clouds and stockpile volumes, checked AI results and client delivery through expiring share links and portals.

Does Geosys AI have a free tier like Atlas?

Geosys AI does not publish prices or a free tier on this site, and pricing is arranged with our team through the contact form. Atlas lists a free Starter tier and paid plans on its pricing page, which we last reviewed in September 2026.

Can Geosys AI handle LiDAR and stockpile volumes?

Yes. You can upload LAS, LAZ or E57 point clouds, explore them in the browser and draw a polygon to get fill, cut and net volume, with batch mode for many stockpiles. LiDAR access is enabled per user and project. We could not confirm LiDAR support in Atlas public documentation.

Can I move data between Atlas and Geosys AI?

Geosys AI accepts Shapefile, GeoJSON, GeoPackage, GeoTIFF, CSV and XLSX uploads. Atlas states that your data stays yours and is exportable on cancellation, and lists several of the same formats, so check its export options for your specific layers.

Sources

Sources and last reviewed

Last reviewed: September 2026.

Competitor information comes from public documentation and may have changed since this review. Prices are not quoted because they change. If something is out of date or wrong, please tell us through the contact form at the bottom of this page and we will correct it.

Keep exploring

FeaturesThe full Geosys AI capability catalog.LiDAR & Point CloudsView point clouds and measure stockpile volumes.IntegrationsUse Geosys AI from ChatGPT, Claude and QGIS.Client DeliveryShare projects with clients through expiring links and portals.Guide: stockpile volumes from LiDARMeasure a stockpile from a point cloud step by step.Guide: connect Claude or ChatGPT to GISAsk your AI assistant about your maps with MCP.Guide: share a GIS project without accountsSend clients a link instead of a login.

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