Buildots vs Doxel: 2026 Comparison
Buildots and Doxel are the two leading progress monitoring AI platforms in commercial construction in 2026. Both use computer vision and AI to track build progress against schedule. Both target large commercial GCs running complex projects where schedule risk drives margin.
Buildots' positioning is progress monitoring plus workforce intelligence. The platform quantifies installed work, tracks schedule deviation, and quantifies subcontractor productivity and manpower utilization. Buildots has deep customer concentration at large commercial GCs including Turner, JE Dunn, and Intel running data centers, healthcare, multifamily, and complex commercial projects.
Doxel's positioning is objective percentage-complete tracking with computer vision comparing progress to baseline schedule. The platform claims 11% faster delivery on monitored projects through earlier schedule risk identification and improved schedule decision-making. Doxel has growing adoption across complex commercial builds.
Pricing for both is contact-sales custom. Indicative pricing for Buildots runs $10K-$25K/month per project. Doxel pricing is in similar range, typically $8K-$20K/month per project depending on project complexity.
The competitive overlap is direct on progress monitoring AI. Buildots' workforce intelligence is not contested by Doxel. Doxel's 11% faster delivery claim and percent-complete focus is the structural differentiation. Most large GCs evaluating progress monitoring AI shortlist both.
The Verdict
Buildots wins for large commercial GCs that want progress monitoring plus workforce intelligence analytics with adoption at Turner, JE Dunn, and Intel. Doxel wins for GCs running complex builds that want objective percentage-complete data with computer vision tracking progress versus schedule and 11% faster delivery claims. Both compete directly on progress monitoring AI with similar core capabilities. The decision typically comes down to workforce intelligence depth (Buildots) vs. objective percent-complete tracking (Doxel) and customer profile fit.
Feature Comparison
| Dimension | Buildots | Doxel |
|---|---|---|
| Primary scope | Progress monitoring + workforce intel | Progress monitoring + percent-complete |
| Pricing (typical) | $10K-$25K/month/project | $8K-$20K/month/project |
| Schedule integration | Primavera P6, Microsoft Project | Primavera P6, Microsoft Project |
| Computer vision focus | Installed work tracking | Percent-complete vs. schedule |
| Workforce intelligence | Strongest in market | Light |
| Customer concentration | Turner, JE Dunn, Intel | Growing across complex commercial |
| Delivery improvement claim | Substantial; varies by project | 11% faster delivery |
| Project types | Data centers, healthcare, multifamily, complex commercial | Complex commercial broadly |
| Capture method | 360 imagery (hardhat or carried) | 360 imagery + LiDAR options |
| Procore integration | Native | Native |
| Owner-side workflow | Solid | Strong (objective percent-complete) |
| Implementation time | 2-4 weeks per project | 2-4 weeks per project |
Where Buildots Wins
**Workforce intelligence differentiator.** Buildots' workforce intelligence quantifies subcontractor productivity, manpower utilization, and crew composition trends. The analytics support GC decisions on sub performance, manpower allocation, and schedule recovery actions. Doxel does not match this workforce-specific analytics depth.
**Deep large-GC customer concentration.** Buildots' customer base concentrates at Turner, JE Dunn, Intel, and similar large commercial GCs running enterprise-tier workflow. The customer concentration signals operational fit for large-GC enterprise patterns that smaller-scale platforms may not match.
**Specialty project type depth.** Buildots has refined workflow for data centers, healthcare, multifamily, and complex commercial projects where progress monitoring drives operational outcomes. The workflow depth pays back for projects above $50M scale where schedule risk drives margin meaningfully.
**Combined progress + workforce analytics.** Buildots' combined scope (progress monitoring + workforce intelligence) gives large GCs unified analytics across schedule and workforce decisions. Running Doxel for progress plus separate workforce intelligence tools creates operational fragmentation that Buildots' unified platform avoids.
Where Doxel Wins
**11% faster delivery claim.** Doxel's 11% faster delivery on monitored projects is a specific, marketable claim that GCs and owners can validate against project outcomes. The percent-complete focus surfaces schedule risk early enough to drive operational recovery decisions. Buildots delivers substantial improvement but markets the delivery impact less specifically.
**Objective percent-complete focus.** Doxel's computer vision delivers objective percent-complete tracking that owners and GCs can defend against subjective field estimates. The objectivity supports payment application decisions, schedule communication with owners, and dispute resolution on schedule issues. For projects where schedule transparency drives owner relationships, the objective measurement matters.
**LiDAR capture option.** Doxel offers LiDAR-based capture in addition to 360 imagery. LiDAR delivers higher-precision spatial data for specific use cases (precision fit-out, complex MEP coordination, high-tolerance industrial work). Buildots uses 360 imagery primarily; the LiDAR option on Doxel matters for specific project profiles.
**Growing adoption across complex commercial.** Doxel's customer base is growing rapidly across complex commercial builds without concentrating at specific enterprise GCs. For GCs that prefer not to be in Turner/JE Dunn-style customer concentration, Doxel's broader emerging adoption is positioning advantage.
Choose Buildots if...
you are a large commercial GC running data centers, healthcare, multifamily, or complex commercial projects, you need workforce intelligence alongside progress monitoring, you operate at the Turner/JE Dunn/Intel enterprise GC tier, or you want unified progress and workforce analytics in one platform.
Choose Doxel if...
you are a GC or owner running complex builds prioritizing objective percent-complete tracking, you want the 11% faster delivery target as the operational lens, you need LiDAR capture for high-precision work, or you prefer growing emerging vendor adoption over established large-GC concentration.
Pricing Scenario
**Large commercial GC, $200M revenue, 10 concurrent projects including 3 complex builds:** Buildots on 3 complex projects at $20K-$25K/month × 3 = $60K-$75K/month + workforce analytics. Doxel on same 3 projects at $15K-$20K/month × 3 = $45K-$60K/month with percent-complete focus. Doxel saves $15K/month but Buildots' workforce intelligence pays back for GCs that actively manage sub performance.
**Mid-large GC running data center project, $80M project value, 18-month schedule:** Buildots $20K-$25K/month × 18 months = $360K-$450K total for full project. Doxel $15K-$20K/month × 18 months = $270K-$360K total. Doxel saves $90K-$135K total but Buildots' specialty data center workflow typically pays back through schedule recovery decisions on this project type.
**Owner of healthcare project, $120M project value, 24-month schedule, wanting objective percent-complete for payment applications:** Doxel $15K-$20K/month × 24 months = $360K-$480K total with objective percent-complete supporting payment application defense. Buildots equivalent but the workforce intelligence is workflow that owners typically do not engage as deeply as GCs. Doxel is the typical owner-side fit; Buildots is the typical GC-side fit on the same project.
Integrations
**Buildots:** Native Procore integration with bi-directional data flow. Autodesk Construction Cloud integration. Schedule integration with Primavera P6 and Microsoft Project. Workforce intelligence integration with labor tracking platforms. Deep integration concentration with large commercial GC tech stacks.
**Doxel:** Native Procore integration with bi-directional data flow. Autodesk Construction Cloud integration. Schedule integration with Primavera P6 and Microsoft Project. LiDAR capture integration in addition to 360 imagery. Owner-side workflow integration for percent-complete and payment application defense.
Frequently Asked Questions
How real is the 11% faster delivery claim?
Plausible but varies by project. Doxel's marketing cites 11% as average faster delivery across monitored projects. The actual improvement varies based on project complexity, schedule risk profile, and GC decision-making responsiveness. Projects where the GC actively uses Doxel data to drive schedule recovery decisions see meaningful improvement. Projects where Doxel is deployed for documentation rather than active decision-making see less improvement. Validate the claim against specific project profile during evaluation.
How important is workforce intelligence in practice?
Material for GCs that manage workforce performance analytically. Buildots' workforce intelligence supports decisions on sub performance reviews, manpower allocation, and schedule recovery actions. GCs running subcontractor relationships on intuition rather than data see less benefit. For GCs at Turner/JE Dunn/Intel-style scale where workforce performance directly drives schedule and margin, the analytics depth is operationally decisive.
Should I run both Buildots and Doxel?
Rarely. Running both creates duplicate progress monitoring workflow on the same projects which is operationally wasteful. The practical pattern is to commit to one for progress monitoring AI across the GC's operational scope. The exception is owners running Doxel for objective percent-complete while their GC runs Buildots for workforce intelligence, with both platforms deployed on the same project but for different operational uses.
How does the LiDAR option matter operationally?
Material for high-precision work and specific project profiles. Doxel's LiDAR delivers higher-precision spatial data than 360 imagery for use cases like complex MEP coordination, precision fit-out, high-tolerance industrial work, and specific BIM-to-build verification. For typical commercial construction (data centers, healthcare, multifamily), 360 imagery is sufficient. For high-precision applications, LiDAR's added cost typically pays back through reduced rework.
Which has better owner-side workflow?
Doxel, slightly. Doxel's objective percent-complete focus fits owner-side workflow where payment application defense and schedule transparency drive owner-GC relationships. Buildots' workforce intelligence is primarily GC-side workflow that owners typically do not engage deeply. Owners deploying progress monitoring AI independently typically default to Doxel; GCs deploying progress monitoring AI typically have access to both platforms' workflow at the same level of operational engagement.
How does Procore integration compare?
Both platforms have native Procore integration with bi-directional data flow. Progress data flows from either platform into Procore for project team access. Schedule integration with Primavera P6 and Microsoft Project is solid on both platforms. Integration depth is roughly equivalent; the differentiation is in the AI analytics output rather than integration infrastructure.
How do these compare to OpenSpace?
OpenSpace competes on reality capture and jobsite documentation. Buildots and Doxel compete on progress monitoring AI specifically. OpenSpace absorbed Disperse's progress monitoring functionality which narrows the gap but does not match Buildots' or Doxel's specialty depth. Most large commercial GCs run OpenSpace for jobsite documentation across portfolio and Buildots or Doxel on specific complex projects where progress monitoring drives operational decisions.
Can these replace traditional schedule reporting?
Augment rather than replace. Both platforms deliver objective progress data that informs schedule reporting but do not replace the schedule management discipline itself. GCs continue to maintain Primavera P6 or Microsoft Project schedules with the AI platforms feeding objective progress data into schedule updates. The combination improves schedule accuracy and responsiveness compared to subjective field estimates alone.
Reviewed by Rome Thorndike. Last verified 2026-05-12.
Pricing, features, and ratings are based on vendor documentation, public filings, product demos, and feedback from sales teams using these tools in production. We update reviews when vendors ship major releases or change pricing.