State DOTs run on spatial data. Voyager makes it usable.

The problem: Transportation data is spatial. Most of it isn't spatially queryable.

Survey and inspection records, construction drawings, easement documents, and GPS-referenced field data accumulate across shared drives, legacy systems, and departments that don't share a common structure. Almost all of it describes a specific place: a stretch of road, a bridge, a right-of-way, a project boundary. But very little of it is stored in a form that can be searched or queried by location. Finding the right record usually depends on knowing which system to check and who to ask.

What this means for your agency

• No migration required. Voyager connects to a state DOT's existing systems, whatever they run today, and reads spatial data in place rather than requiring it to be centralized or moved.

• One way to search across formats. CAD drawings, GPS field data, imagery, and inspection reports become searchable together instead of living in separate systems with no shared schema.

• Spatial context, extracted automatically. Voyager automatically extracts spatial relationships and lineage, including bounding boxes and centroids, directly from the source data.

• A catalog that reflects your systems. As source systems change, the catalog is built to reflect that, so it doesn't go stale the way a manually maintained catalog does.

Built for the records transportation teams already have

Voyager indexes and enriches the record types that make up a transportation agency's spatial archive:

• Construction drawings and design plans

• CAD drawings

• Inspection reports

• Survey data and GPS-referenced field data

• Easements and right-of-way documentation

• Imagery

Find it. Enrich it. Use it.

The Voyager platform solution works in three steps:

Find it. Voyager connects directly to the systems your data already lives in: shared drives, legacy systems, GIS platforms, and databases. It reads records in place.

Enrich it. Indexing pipelines extract spatial relationships, lineage, and metadata from structured and unstructured spatial data, and organize it into a catalog your teams can search.

Use it. Once it's indexed, that catalog supports discovery, governance, and downstream work: planning, permitting, asset management, and reporting.

That's the role Voyager plays for a state DOT: the intelligence layer for spatial records, not a replacement for the systems already in place.

Why transportation agencies choose Voyager

• Data is spread across many systems, departments, and shared drives.

• Decades of survey, inspection, and design records exist with no shared schema.

• Spatial data comes in formats, like CAD and GPS-referenced field data, that generic search tools aren't built to interpret.

• Records can't be migrated or centralized because of security, ownership, or operational constraints.

• Data needs to be understood before planning, permitting, or reporting can move forward with confidence.

Common questions

Do we have to move our data? No. Voyager is designed to connect to data where it already lives.

Is this just a search tool? Search is part of it, but Voyager focuses on understanding and enriching data first, so search works better once the data makes sense.

Is this a data catalog? It includes a catalog, but the catalog is built dynamically by reading and enriching real data, rather than by manual entry.

How does this relate to AI? Voyager provides discoverable, enriched, traceable information that supports grounded AI and analytics. It doesn't make ungoverned data trustworthy on its own.

Where does your team struggle most today: finding a record, understanding what a system holds, or governing who can access it? The fastest way to see what Voyager looks like for your agency is with your own data.