Atlas

A second major feature group is the platform's ability to connect and synchronize all data sources onto a single, live map. Atlas integrates directly with PostgreSQL databases, Google Sheets, spreadsheets, ERPs, and field reports, pulling disparate data together and maintaining live sync so the map always reflects the current state. This creates one unified visual overview where users can see asset status, project progress, and team locations at a glance without manually combining files. The system processes these connections in the background, enabling features like live pipelines where every development site can be color-coded by stage and filterable by region, generated directly from the data and updated in real time as conditions change.

Additional capabilities include agentic workflows that don't just run but reason, chaining analysis, scheduling, and alerts across data sets before presenting an editable canvas for inspection. Navi can build and edit these multi-step workflows from a prompt, enabling automated tasks like daily site screenings, weekly status reports, and live alerts without requiring users to write cron jobs or manage servers. The platform also offers AI-powered reporting where Navi writes weekly status updates, flags what changed, and sends them to the team on a predetermined schedule. Furthermore, Atlas provides a library of professional templates for scenarios like solar pipelines, asset portfolios, field operations, and site selection, allowing teams to start from a pre-built foundation that matches their work.

Technically, Atlas operates as a full GIS underpinned by real geometry, real projections, and real spatial analysis supporting industry-standard formats like shapefiles, GeoJSON, GeoTIFF, KML, and GPKG, alongside live PostgreSQL connections. The AI agent Navi sits on top of this robust GIS engine, interpreting conversational inputs and translating them into executable spatial operations within the browser-based environment. Workflows generated by Navi are fully transparent and editable; users can inspect each step on a visual canvas and modify any part, ensuring the AI acts as an accelerator rather than a black box. The platform is designed for collaboration, allowing multiple users to co-author workflows similarly to co-authoring a document, with features for commenting, sharing, and shipping projects across departments.

Benefits for users include measurable outcomes such as shipping a live map in an afternoon instead of weeks, freeing GIS teams from endless request queues, and enabling real-time decision-making with always-current data. Teams gain a single source of truth for location data that is accessible and editable by everyone, eliminating the chaos of emailed files and re-cut exports. Organizations can deploy spatial analysis at scale across non-specialist teams, reduce dependency on scarce GIS expertise, and automate routine reporting and monitoring tasks. The collaborative nature ensures that insights are shared instantly, and workflows can be iterated upon quickly, leading to faster project cycles and more informed strategic planning for site selection, asset management, and field operations.

Concrete use cases are illustrated through specific workflow examples such as managing park maintenance with a tree inspection dashboard that tracks tasks, priorities, and completion statuses on a map. Energy developers can perform site selection for wind farms by defining criteria and letting Navi screen locations with buffers and exclusions, then monitor construction phases through a live pipeline view. Real estate portfolios can visualize all properties on a map, see asset details, and generate automated reports on portfolio status. Field operations teams can coordinate inspections and maintenance tasks geographically, with live updates from the field syncing directly to the shared map, and receive AI-generated alerts when issues are flagged.

The target users are energy developers, infrastructure teams, real estate portfolios, asset managers, field operations teams, municipalities, and the GIS professionals who support them, ranging from small teams to global enterprises. Integrations include direct connections to PostgreSQL, Google Sheets, and various data formats, while the tech stack is browser-based and AI-native. Pricing plans are indicated by a free account option for getting started, with enterprise-level capabilities suggested by the customer logos shown. The platform is built to serve both GIS pros who need advanced analysis and other team members who need accessible, self-service mapping tools, all within a unified, collaborative workspace.

In summary, Atlas fundamentally reimagines the GIS by making it conversational, collaborative, and instantly accessible, turning spatial data into a live, shared asset for the entire organization. It combines the full analytical power of a traditional GIS with an AI layer that understands intent, enabling teams to move from scattered data to actionable maps in record time. The primary value is empowering every stakeholder—from leadership to field staff—to see, understand, and act on location intelligence without barriers, transforming how ambitious teams build, analyze, and operate in the physical world.

Updated 2026-02-28