Space planning is one of the most consequential yet time consuming processes in commercial real estate transactions and workplace strategy. JLL’s 2025 Workplace Analytics Report found that the average office space planning engagement takes 4 to 8 weeks from initial brief to final deliverable, with architectural firms billing $15,000 to $50,000 for comprehensive test fits and layout optimization. CBRE’s occupancy strategy team estimated that inefficient space layouts cost U.S. office tenants $23 billion annually in wasted square footage, while Cushman and Wakefield’s 2025 workplace survey found that 67 percent of corporate tenants cited space planning uncertainty as the primary bottleneck in lease decision making. The Urban Land Institute reported that more than 60 percent of executives now use AI for space planning, with nearly half reporting measurable savings in project timelines and costs. These findings reflect a market that is rapidly shifting from traditional architectural test fits toward AI driven planning tools that can produce optimized layouts in hours rather than weeks.
qbiq is an AI floor plan generator that produces optimized commercial layouts, 3D visualizations, and complete architectural packages in under 24 hours. The platform uses generative AI to calculate space requirements by headcount, team structure, and workplace strategy, then generates multiple layout alternatives that maximize usable area, circulation efficiency, and functional performance. qbiq’s outputs include Revit and CAD models, which means the generated plans can be directly used by architectural and engineering teams for further development and documentation. The platform serves brokers, landlords, corporate occupiers, and architectural firms, with clients including JLL, which uses qbiq to accelerate transaction timelines across multiple business lines.
qbiq earns a 9AI Score of 72 out of 100, reflecting strong CRE relevance, genuine innovation in generative architectural AI, and institutional credibility demonstrated through enterprise client adoption. The score is balanced by custom pricing opacity and the specialized nature of the platform, which limits its audience to professionals involved in space planning and workplace strategy. The result is a focused, high value tool that addresses a specific, well documented inefficiency in the CRE transaction and occupancy lifecycle.
This review is part of BestCRE’s systematic coverage of commercial real estate AI tools across 20 CRE sectors. For the full AI tools directory, see our Best CRE AI Tools hub.
What qbiq Does and How It Works
qbiq operates as an AI driven space planning engine that transforms workspace requirements into optimized floor plan layouts with minimal manual intervention. Users input their requirements, including headcount, departmental structure, workstation types, collaboration space needs, and workplace strategy parameters, and the platform generates multiple layout alternatives that optimize for space efficiency, circulation quality, natural light access, and functional adjacencies. The AI engine considers architectural constraints like column grids, core locations, window placements, and egress requirements while maximizing usable area within the available floor plate.
The platform’s output quality is a significant differentiator. Rather than producing schematic diagrams that require extensive refinement, qbiq generates production ready floor plans in Revit and CAD formats that architectural teams can immediately use for detailed design development and construction documentation. The 3D visualization capability allows stakeholders to experience the proposed layouts spatially before committing to a design, which accelerates decision making in lease negotiations and workplace transformation projects. Each plan is quality assured by qbiq’s in house architects, who verify spatial logic, building code compliance, and usability before delivery.
The customizable planning engine is another key feature. Organizations can integrate their specific workplace guidelines, furniture standards, finish palettes, and workflow requirements into qbiq’s configuration, ensuring that generated layouts align with brand standards and corporate workspace policies. This customization capability is particularly valuable for large occupiers and brokerage firms that need to maintain consistency across multiple projects while allowing for site specific optimization. The multi floor planning feature extends the platform’s utility to large projects where space allocation across multiple floors requires coordination of departmental adjacencies, shared amenity placement, and vertical circulation planning.
qbiq’s market position is validated by its adoption among major CRE firms. JLL uses the platform to accelerate transaction timelines, which represents a significant endorsement from one of the world’s largest commercial real estate services firms. The platform’s published case studies demonstrate quantifiable outcomes, including 75 percent faster planning cycles and 40 percent improvements in space efficiency. For CRE brokers, the ability to provide tenants with AI optimized test fits during the transaction process creates a competitive advantage by reducing the uncertainty and timeline that typically accompany space planning decisions. For landlords, qbiq enables rapid generation of layout scenarios that demonstrate how their available floor plates can accommodate prospective tenant requirements, supporting leasing conversations with tangible evidence rather than speculative floor plan sketches.
9AI Framework: Dimension by Dimension Analysis
CRE Relevance: 9/10
qbiq is purpose built for commercial real estate space planning, making it one of the most CRE relevant tools in the architecture and design category. Every feature addresses a specific workflow in the CRE transaction and occupancy lifecycle: test fits for lease negotiations, workplace strategy for corporate occupiers, layout optimization for landlords marketing available space, and design documentation for architectural teams executing tenant improvement projects. The platform’s adoption by JLL validates its relevance to institutional CRE operations, and the focus on commercial floor plates (rather than residential or hospitality layouts) ensures that the AI engine is calibrated for the specific spatial challenges of office, flex, and mixed use environments. In practice: qbiq directly addresses the space planning workflows that CRE brokers, landlords, and occupiers navigate in virtually every office transaction.
Data Quality and Sources: 7/10
qbiq’s data quality dimension focuses on the accuracy and sophistication of its spatial optimization algorithms rather than on external data aggregation. The platform processes building geometry data (floor plate shapes, column grids, core locations), user requirements (headcount, department structure, space types), and design standards (furniture dimensions, circulation widths, code requirements) to generate optimized layouts. The quality of the outputs depends on the accuracy of the input data and the sophistication of the AI’s spatial reasoning. The in house architect quality assurance layer adds a validation step that catches potential issues before plans are delivered. However, the platform does not incorporate external market data, real time occupancy analytics, or benchmarking intelligence from comparable buildings, which limits the data driven insights available beyond the spatial optimization itself. In practice: qbiq delivers high quality spatial outputs based on strong algorithmic design intelligence, but the data dimension is confined to architectural and spatial domains rather than extending into market analytics.
Ease of Adoption: 7/10
qbiq is designed to produce usable outputs rapidly, with the platform’s core promise being delivery of optimized layouts in under 24 hours. The input process involves specifying requirements through a structured interface that guides users through headcount, workspace types, and planning preferences. For CRE brokers and landlords who need test fits during active transactions, the speed of output delivery is a major usability advantage. The customizable planning engine requires initial configuration effort to set up organizational standards and preferences, but this investment pays dividends across subsequent projects. The Revit and CAD output formats are standard in the architectural industry, which means the deliverables integrate directly into existing design workflows without format conversion. The main adoption challenge is that the platform requires some understanding of space planning concepts and architectural requirements to configure effectively. In practice: CRE professionals with space planning experience can adopt qbiq quickly and begin receiving optimized layouts within a day, though first time users may benefit from the company’s onboarding support to configure the platform optimally.
Output Accuracy: 8/10
qbiq’s output accuracy is validated through multiple mechanisms. The AI engine applies architectural rules and spatial optimization algorithms that are deterministic for structural constraints (column avoidance, core adjacency, egress compliance) and probabilistically optimized for spatial efficiency and functional performance. The in house architect quality assurance adds a human validation layer that verifies spatial logic, building code compliance, and practical usability before plans are delivered to clients. The Revit and CAD output format ensures that plans are architecturally precise and dimensionally accurate, rather than schematic representations that require significant refinement. Published case studies report 15 to 25 percent reductions in space requirements while maintaining or improving functionality, which suggests that the optimization engine produces genuinely efficient layouts. The 75 percent reduction in planning cycle time indicates that the outputs are production quality rather than rough drafts. In practice: qbiq produces architecturally accurate, production ready floor plans that are validated by in house professionals, delivering among the highest output accuracy in the generative design category.
Integration and Workflow Fit: 7/10
qbiq integrates well with architectural workflows through its Revit and CAD output capabilities, which are the standard file formats used by architectural and engineering firms worldwide. This means that qbiq’s generated layouts can be directly imported into existing design development and construction documentation workflows without format conversion or manual recreation. The customizable planning engine allows organizations to embed their specific standards into the platform, creating consistency across projects. For brokerage firms, qbiq fits into the transaction workflow by providing rapid test fits that can be shared with tenants during the leasing process. The integration gap is on the CRE operational side: the platform does not connect directly to lease management systems, property management platforms, or CRM tools. The plans are delivered as files rather than as data integrated into CRE workflows. In practice: qbiq integrates seamlessly with architectural design workflows through standard file formats but operates as a standalone tool relative to CRE operational and transaction management systems.
Pricing Transparency: 4/10
qbiq uses custom pricing with no publicly available tiers or rate cards on its website. Prospective clients must engage with the sales team to understand costs, which is typical for enterprise CRE technology platforms but creates friction for smaller firms and individual practitioners who want to evaluate the platform’s affordability before committing to a sales conversation. The enterprise pricing model is consistent with the platform’s focus on institutional clients like JLL, but it limits accessibility for boutique architectural firms, small brokerage teams, and independent workplace consultants who may not have enterprise procurement processes. Given the platform’s ability to reduce planning cycles by 75 percent and space requirements by 15 to 25 percent, the ROI case is likely strong, but quantifying it requires knowing the subscription cost. In practice: pricing information is available only through direct engagement with qbiq’s sales team, which may deter smaller potential clients from exploring the platform.
Support and Reliability: 7/10
qbiq’s in house architect team provides a level of professional support that distinguishes it from purely software driven competitors. The architect quality assurance process means that every plan is reviewed by a professional before delivery, which serves as both a quality control mechanism and a support touchpoint. The platform’s adoption by JLL suggests enterprise grade reliability and support expectations, as a firm of JLL’s scale would require consistent service quality, defined SLAs, and responsive technical support. The published case studies and blog content indicate an active product team that is engaged with the user community and industry trends. Specific SLA commitments, uptime guarantees, and support tier details are not publicly documented, which is common for enterprise platforms that negotiate support terms as part of subscription agreements. In practice: the combination of in house architect QA and enterprise client adoption provides confidence in qbiq’s support quality and platform reliability.
Innovation and Roadmap: 8/10
qbiq represents genuine innovation in how commercial space planning is conducted. The application of generative AI to architectural layout optimization goes beyond simple automation, as the platform’s algorithms must balance competing spatial objectives, architectural constraints, building codes, and user preferences to produce layouts that are both efficient and functional. The multi floor planning capability adds complexity that few competitors address, as coordinating departmental adjacencies and shared amenities across multiple floors requires sophisticated optimization logic. The production ready Revit and CAD output eliminates the traditional gap between schematic test fits and usable architectural documentation, which is a meaningful workflow innovation. The customizable planning engine that embeds organizational standards into the AI configuration allows for scalable personalization without sacrificing speed. qbiq’s published data showing 75 percent faster planning cycles and 40 percent space efficiency improvements validates the innovation with measurable outcomes. In practice: qbiq pushes the boundaries of what AI can achieve in architectural planning, with production quality outputs and measurable efficiency gains that few competitors can match.
Market Reputation: 8/10
qbiq has built strong market credibility through its adoption by JLL, one of the world’s largest commercial real estate services firms. The JLL endorsement carries significant weight in the CRE industry because it validates qbiq’s output quality, reliability, and enterprise readiness at institutional scale. The platform’s published case studies provide quantified evidence of performance outcomes, which adds credibility beyond marketing claims. qbiq’s blog content and thought leadership position the company as a knowledgeable participant in the CRE technology conversation, with articles addressing space planning best practices, generative AI applications, and workplace strategy trends. The platform is recognized in industry discussions about AI in CRE architecture and has earned visibility through its focus on a specific, high value problem. In practice: qbiq’s market reputation benefits from the JLL adoption signal, published case studies, and thoughtful industry content that establishes credibility among CRE professionals involved in space planning and workplace strategy.
Who Should Use qbiq
qbiq is ideal for CRE brokerage firms that provide test fits as part of their tenant representation and landlord advisory services. Brokers who need rapid, production quality layouts to support active lease negotiations can use qbiq to deliver optimized plans in under 24 hours, which is dramatically faster than traditional architectural test fit processes. Corporate real estate teams evaluating space options for office relocations, consolidations, or expansions benefit from the platform’s ability to generate multiple layout scenarios quickly. Landlords marketing available space can use qbiq to demonstrate how their floor plates accommodate various tenant configurations, supporting leasing conversations with tangible evidence. Architectural and design firms can integrate qbiq into their early phase planning to accelerate concept development and reduce the labor intensive aspects of initial space programming.
Who Should Not Use qbiq
CRE professionals focused on investment analysis, property management, market analytics, or construction management will not find relevant features in qbiq. The platform is designed for space planning rather than financial modeling or operational management. Small tenants with straightforward space requirements may not need the sophistication of AI optimized layouts. Firms that require fully transparent, published pricing before engaging with vendors may find the enterprise pricing model frustrating. Architectural firms that prefer full creative control over layout design from the initial concept stage may view AI generated plans as a constraint rather than an aid. Projects involving highly specialized space types like laboratories, clean rooms, or manufacturing facilities may require domain specific planning tools that go beyond qbiq’s commercial office focus.
Pricing and ROI Analysis
qbiq uses custom pricing that is negotiated through direct engagement with the sales team. The ROI case is well documented through the platform’s published metrics. If a traditional test fit costs $15,000 to $50,000 and takes 4 to 8 weeks, and qbiq can deliver a comparable output in under 24 hours, the time and cost savings are substantial. For a brokerage firm that produces 50 test fits per year, reducing the cost per test fit by even 50 percent would produce savings of $375,000 to $1.25 million annually. The space efficiency improvements of 15 to 25 percent translate directly into reduced lease costs for tenants, which can amount to hundreds of thousands of dollars over a typical lease term. For landlords, the ability to demonstrate optimized layouts can accelerate leasing velocity, reducing vacancy costs that compound monthly.
Integration and CRE Tech Stack Fit
qbiq integrates with architectural workflows through Revit and CAD output formats, which are industry standard for design development and construction documentation. The customizable planning engine supports organizational standards integration, ensuring consistency across projects. The platform does not directly connect to CRE transaction management, lease administration, or property management systems. For brokerage firms, the generated plans are typically shared as deliverables within the transaction process rather than integrated into CRM or deal management workflows. The Revit and CAD compatibility ensures that downstream architectural and engineering teams can immediately work with qbiq outputs without format conversion or manual recreation.
Competitive Landscape
qbiq competes with TestFit, which offers generative design for building massing and site planning optimization, and traditional architectural firms that provide test fit services manually. Autodesk Forma (formerly Spacemaker) addresses concept planning and environmental analysis for site level design. Smaller competitors like Motif and ArchiLabs offer AI assisted design capabilities for specific architectural workflows. qbiq differentiates through its focus on commercial interior space planning rather than building massing or site design, its production ready Revit and CAD outputs, and its in house architect quality assurance process. The JLL adoption provides a competitive credential that few competitors can match. The platform occupies a specific niche within the broader CRE architecture category, focused on the interior layout optimization that drives tenant decision making and occupancy efficiency.
The Bottom Line
qbiq is a focused, high value AI platform that transforms commercial space planning from a weeks long, expensive process into a rapid, optimized deliverable. The 9AI Score of 72 reflects strong CRE relevance, genuine innovation in generative architectural AI, and institutional credibility through JLL adoption. The score is balanced by enterprise pricing opacity and the specialized nature of the platform’s audience. For CRE brokers, landlords, and corporate occupiers who produce or consume space plans regularly, qbiq offers a compelling combination of speed, quality, and efficiency that can meaningfully impact transaction velocity and occupancy economics. The platform represents one of the most mature applications of generative AI in the CRE architecture and design category.
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Frequently Asked Questions
How quickly can qbiq generate an optimized floor plan?
qbiq delivers optimized floor plans in under 24 hours, which represents a dramatic acceleration compared with traditional space planning processes that typically take 4 to 8 weeks. The speed advantage comes from the AI’s ability to simultaneously evaluate thousands of layout configurations against spatial constraints and optimization criteria, a process that would take human designers days or weeks to perform manually. The 24 hour turnaround includes the in house architect quality assurance review, which means the delivered plans have been professionally verified for spatial logic and code compliance. For CRE brokers engaged in active lease negotiations, this speed allows test fits to be provided to tenants within a single business day, which can be a decisive competitive advantage when multiple buildings are being evaluated simultaneously.
What output formats does qbiq provide?
qbiq generates floor plans in Revit and CAD formats, which are the industry standard file types used by architectural and engineering firms worldwide. Revit files contain building information modeling (BIM) data that supports detailed design development, quantity takeoffs, and construction documentation. CAD files provide 2D representations that can be used for presentations, lease exhibits, and coordination drawings. The platform also produces 3D visualizations that allow stakeholders to experience proposed layouts spatially before committing to a design. The production ready quality of the output means that architectural teams can use qbiq’s plans as a starting point for detailed design without needing to recreate the layout from scratch, which saves significant time and ensures that the optimized spatial arrangement is preserved through the design development process.
Can qbiq handle multi floor space planning projects?
Yes, qbiq offers multi floor space planning capabilities that generate optimized 2D plans across multiple floors with coordination of departmental adjacencies, shared amenity placement, and vertical circulation requirements. This capability is essential for large corporate occupiers and headquarters projects where space allocation decisions span entire buildings or multiple floors within a building. The multi floor optimization considers which departments should be located near each other, where shared spaces like conference centers and break rooms should be placed for maximum accessibility, and how vertical circulation (stairs and elevators) connects related departments across floors. The generated multi floor plans include multiple layout alternatives, each quality assured by qbiq’s in house architects, allowing decision makers to evaluate different organizational strategies before committing to a final configuration.
How does qbiq compare to traditional architectural test fit services?
Traditional architectural test fits typically require 4 to 8 weeks of design time, cost $15,000 to $50,000 per engagement, and produce one or two layout options that reflect the designer’s judgment and experience. qbiq generates multiple optimized layout alternatives in under 24 hours, with each option evaluated against quantifiable efficiency and functionality metrics. The AI explores a vastly larger solution space than a human designer can consider, often finding configurations that improve space efficiency by 15 to 25 percent compared with manual approaches. The trade off is that traditional test fits benefit from the designer’s creative intuition, contextual judgment, and ability to incorporate qualitative factors that are difficult to quantify algorithmically. Many firms use qbiq for initial optimization and then refine the AI generated layouts with human design expertise for the final deliverable, combining the speed and efficiency of AI with the creativity and judgment of experienced architects.
Which CRE firms are currently using qbiq?
JLL is the most prominently named qbiq client, using the platform to accelerate transaction timelines across multiple business lines. JLL’s adoption is significant because it represents validation by one of the world’s largest commercial real estate services firms, with operations in 80 countries and a team of over 100,000 professionals. The platform’s case studies reference additional clients across brokerage, corporate real estate, and architectural firms, though specific names beyond JLL are less prominently featured in public materials. The published case studies demonstrate results including 75 percent faster planning cycles and 40 percent improvements in space efficiency, which suggest a client base that includes organizations with sophisticated space planning requirements and the ability to measure performance outcomes rigorously. Prospective clients can request references and additional case study details through the sales process.
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