Doxel for Construction Progress Tracking and Schedule Analytics

In-Depth Review

Doxel targets a specific failure mode on large construction projects: the gap between what the schedule says is happening and what is actually happening on the floor. That gap exists because most project progress reporting is collected from the people doing the work — superintendents, subcontractor PMs — who have every incentive to report optimistically and limited time to report accurately. By the time a real delay shows up in a schedule update, the window for corrective action is often already narrow.

What Doxel Actually Does

The platform’s core workflow is scan, compare, alert. A scanning pass of the job site — using either an autonomous ground robot or a wearable camera rig carried by a site worker — captures 3D data and imagery of current site conditions. The AI processes that data against the uploaded BIM model to determine what has been installed and what remains. It then overlays that detected progress against the project schedule to identify where actual installation is running behind planned dates.

BIM comparison is the technical foundation. The system identifies installed structural, MEP, and architectural elements from the scan and matches them against model components. Progress is expressed as percentage complete by zone and trade, generated from physical evidence rather than from anyone’s estimate. The accuracy of this comparison depends directly on the quality and currency of the BIM model. If the model is three weeks behind actual design changes, the comparison produces three-week-old accuracy. This is a real operational constraint, not a theoretical one.

Schedule variance alerts are where the platform’s value becomes practical. A project team defines thresholds: if framing in a specific zone falls more than five days behind the scheduled completion date, the platform generates an alert. The PM sees the gap when there is still time to add crew, adjust sequencing, or have a direct conversation with the subcontractor before the delay affects dependent trades. The alternative — finding the same gap in a monthly schedule update meeting — typically leaves the corrective window already closed.

Productivity analytics track installation rates over time. If a mechanical contractor is averaging 60% of their planned daily output across the last three scan periods, the platform shows that trend. This is information that exists implicitly on most projects but is almost never surfaced clearly before damage is done. The data requires a baseline — either historical performance data or project targets tied to the schedule — to generate meaningful comparisons.

As-built documentation is a byproduct of the scanning cadence. Each scan is timestamped and tied to a floor plan location, producing a cumulative record of site conditions at each scan date. This has direct value for dispute documentation (when was specific work installed?), owner reporting, and closeout as-built deliverables.

Pricing Reality

Doxel does not publish pricing. Enterprise contracts are sized to project scale, scan frequency, and contract duration. The hardware component — purchasing or renting scanning equipment, managing it across the site team — adds cost beyond the software subscription. Get explicit quotes that include hardware before comparing total cost to alternative approaches. The platform is sized for projects large enough that early schedule correction has measurable financial value.

One Specific Thing to Test Before Committing

Before signing a contract, run a pilot scan on one floor of an active project and verify the BIM comparison accuracy against your own model files. Bring a set of drawings that represent your typical project — your specific trade packages, your coordinate setup, your model LOD — and evaluate whether the progress detection matches what your superintendent would report for that floor. BIM comparison accuracy varies based on model quality, and the pilot is the only reliable way to calibrate expectations before committing to an annual contract.

Who This Is For

General contractors and construction managers on commercial, institutional, or infrastructure projects above $50M get the most from Doxel. The financial case depends on the value of early schedule correction: on a project with significant liquidated damages exposure or tight trade sequencing, detecting a three-week delay in week two rather than week five has concrete value. Owners funding large capital projects who want independent progress verification before releasing payment applications are a second strong use case. Projects without a maintained BIM model, smaller jobs below $20M, or teams that cannot commit to a consistent scanning cadence will find the platform’s value proposition harder to justify against the cost.