OpenSpace vs Doxel: 2026 Comparison
OpenSpace and Doxel both use 360 imagery for construction AI but with different scopes. OpenSpace is reality capture + jobsite documentation focused. Doxel is progress monitoring + percent-complete tracking focused. The scopes overlap on progress data extraction from captured imagery but differentiate on operational workflow.
OpenSpace was built around passive 360 jobsite documentation. Field personnel walk the jobsite with a 360 camera; OpenSpace captures imagery and AI auto-tags to floor plans. The platform claims 69B+ sq ft captured and has absorbed Disperse's progress monitoring functionality. OpenSpace's strength is the broadest reality-capture customer base and best-in-class floor plan auto-tagging.
Doxel was built around objective percent-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 offers LiDAR capture in addition to 360 imagery for high-precision applications.
Pricing for both is contact-sales custom. Indicative pricing for OpenSpace runs $5K-$15K/month per project. Doxel pricing is in similar range, typically $8K-$20K/month per project depending on project complexity and capture method.
The competitive overlap is at jobsite imagery capture and progress data extraction. OpenSpace's broader documentation workflow and Doxel's specialty percent-complete focus address different operational uses. Many large GCs run both: OpenSpace for portfolio-wide documentation, Doxel on specific complex projects where percent-complete tracking drives operational decisions.
The Verdict
OpenSpace wins for GCs and owners wanting passive 360 jobsite documentation across diverse project types with 69B+ sq ft captured and best-in-class floor plan auto-tagging. Doxel wins for GCs running complex builds that need objective percent-complete tracking with computer vision tracking progress versus schedule and 11% faster delivery claims. Both use 360 imagery as core capture method but with different scopes: OpenSpace is reality capture + documentation; Doxel is progress monitoring with percent-complete focus. Many large GCs run both for different operational uses on the same projects.
Feature Comparison
| Dimension | OpenSpace | Doxel |
|---|---|---|
| Primary scope | Reality capture + jobsite documentation | Progress monitoring + percent-complete |
| Pricing (typical) | $5K-$15K/month/project | $8K-$20K/month/project |
| Capture method | 360 imagery (hardhat or carried) | 360 imagery + LiDAR options |
| Customer base | 69B+ sq ft captured (broadest) | Growing across complex commercial |
| Floor plan auto-tagging | Best-in-class | Strong |
| Progress monitoring | Solid (absorbed Disperse) | Best-in-class with schedule tie |
| Percent-complete tracking | Light | Best-in-class |
| Delivery improvement claim | N/A (documentation-focused) | 11% faster delivery |
| Customer concentration | Diverse GCs and owners | Complex commercial builds |
| Project type coverage | Residential, commercial, infrastructure | Complex commercial broadly |
| Implementation time | 2-4 weeks per project | 2-4 weeks per project |
| Owner-side workflow | Strong (jobsite documentation) | Strong (objective percent-complete) |
Where OpenSpace Wins
**Broadest reality-capture customer base.** OpenSpace's 69B+ sq ft captured signals the largest reality-capture customer base in commercial construction. The scale signals vendor stability and operational fit across diverse project types from residential through commercial to infrastructure. Doxel's customer base is growing but smaller.
**Best-in-class floor plan auto-tagging.** OpenSpace's AI auto-tagging matches captured imagery to floor plan locations with best-in-class accuracy. The capability supports navigable jobsite history that owners, GCs, and subs reference daily. Doxel's auto-tagging is strong but OpenSpace's specialty focus delivers tighter accuracy.
**Broad project type coverage.** OpenSpace works across residential, commercial, and infrastructure scopes. Doxel concentrates on complex commercial builds where percent-complete tracking drives decisions. For diverse project portfolios spanning multiple project types, OpenSpace's broader applicability fits operationally.
**Passive jobsite documentation workflow.** OpenSpace's passive capture model means field personnel do not need to actively manage documentation workflow. walk the jobsite with the camera and OpenSpace handles capture and auto-tagging. The passive model scales operationally for documentation use cases. Doxel's progress monitoring requires more active schedule integration workflow.
Where Doxel Wins
**Objective percent-complete tracking with schedule tie.** 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. OpenSpace's absorbed-Disperse progress monitoring is solid but does not match Doxel's specialty percent-complete depth.
**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. For complex commercial projects where duration drives margin, the delivery impact is operationally decisive.
**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). OpenSpace uses 360 imagery primarily.
**Complex commercial project type focus.** Doxel concentrates on complex commercial builds where percent-complete tracking drives operational decisions. The specialty focus delivers workflow depth for data centers, healthcare, complex MEP, and high-tolerance industrial work that OpenSpace's broader scope does not match at the same depth.
Choose OpenSpace if...
your firm is a GC or owner wanting passive jobsite documentation across diverse project types, you prioritize reality-capture breadth and best-in-class floor plan auto-tagging, you operate across project scales from residential to commercial to infrastructure, or you want the broadest customer base and vendor stability.
Choose Doxel if...
your firm is a GC or owner running complex commercial 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 concentrate on complex commercial project types where percent-complete drives decisions.
Pricing Scenario
**Mid-sized commercial GC, $80M revenue, 8 concurrent projects mixed simple and complex:** OpenSpace $8K-$12K/month/project × 8 = $64K-$96K/month for portfolio-wide documentation. Doxel $15K-$20K/month/project × 8 = $120K-$160K/month for portfolio-wide percent-complete tracking. OpenSpace saves $56K-$64K/month at this scale; Doxel typically pays back only for specific complex projects where percent-complete drives decisions.
**Large commercial GC, $300M revenue, 20 concurrent projects including 5 complex builds:** OpenSpace $10K-$15K/month/project × 20 = $200K-$300K/month for portfolio-wide documentation. Doxel on 5 complex projects at $18K-$22K/month × 5 = $90K-$110K/month alongside OpenSpace on remaining portfolio = $290K-$410K/month combined. Many large GCs run both: OpenSpace as the portfolio-wide documentation layer, Doxel on specific complex projects where percent-complete matters.
**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. OpenSpace equivalent at $8K-$12K/month × 24 months = $192K-$288K total for documentation but lighter percent-complete tracking. Doxel is the typical owner-side fit for payment application defense; OpenSpace is the typical fit for broader documentation.
Integrations
**OpenSpace:** Native Procore integration with bi-directional data flow. Autodesk Construction Cloud integration. Bluebeam Revu integration. PlanGrid integration (now ACC). Native floor plan auto-tagging across major BIM and PM platforms. Owner-side workflow integration for documentation and walkthrough use cases.
**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
Should I run both OpenSpace and Doxel?
Sometimes, for large commercial GC scope. Many large GCs running 20+ concurrent projects deploy OpenSpace as the portfolio-wide jobsite documentation layer and Doxel on specific complex projects (data centers, healthcare, complex commercial) where percent-complete tracking drives operational decisions. The dual-platform cost is meaningful but pays back when each platform's strength matches specific project requirements.
How real is Doxel's 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.
How does the Disperse absorption affect OpenSpace's progress monitoring?
OpenSpace absorbed Disperse's progress monitoring functionality and the URL redirects from disperse.io to openspace.ai. Existing Disperse customers transitioned to OpenSpace with Disperse's progress monitoring as a feature module. The absorption narrowed the gap between OpenSpace and Doxel on progress analytics but did not fully close it; Doxel retains the percent-complete tracking depth advantage.
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?
Both are strong but for different owner-side uses. OpenSpace's jobsite documentation fits owner-side legal documentation, walkthroughs without site visits, and due diligence support. Doxel's objective percent-complete fits owner-side payment application defense and schedule transparency. Owners often run both for different operational purposes: OpenSpace for documentation, Doxel for payment and schedule decisions.
How does Procore integration compare?
Both platforms have native Procore integration with bi-directional data flow. Captured imagery and AI outputs flow into Procore for project team access. Integration depth is roughly equivalent on both platforms; Procore Marketplace certification confirms operational fit. GCs running Procore as the PM hub can deploy either platform without integration friction.
How does the capture workflow differ?
Similar at the capture stage. Both platforms use 360 cameras (hardhat-attached or carried) for field personnel to walk the jobsite. Doxel offers LiDAR as an additional capture option for high-precision use cases. The capture method is similar; the differentiation is in the AI analysis. OpenSpace focuses on floor plan auto-tagging and documentation. Doxel focuses on percent-complete tracking and schedule tie.
How do these compare to Buildots?
Buildots is the third major construction AI competitor with workforce intelligence as its differentiator. The shortlist for reality capture / progress monitoring AI typically includes OpenSpace (broadest documentation), Doxel (objective percent-complete), and Buildots (workforce intelligence) based on operational priorities. Large commercial GCs running enterprise-tier projects often shortlist 2-3 of these for evaluation.
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.