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LightTable

AI-powered QA/QC review for preconstruction drawings and specs

AI platform that reviews construction drawing sets, specifications, and GMP documents across architectural, structural, MEP, and civil disciplines to flag coordination, constructability, and compliance issues before they become RFIs or change orders.

$28M ($6M seed + $22M Series A) raisedGrowth Stage
Founded 2024 · Named enterprise customers include Suffolk, Mill Creek Residential, Swire Properties, and QTS Data Centers; per LightTable's site, 20M+ square feet of construction documents and $10B+ in project costs have been reviewed on the platform. Exact number of paying customers not publicly disclosed — company founded October 2024, so traction is real but recent.
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Why This Tool Exists

The Problem

Manual peer review of architectural, structural, MEP, and civil drawing sets before construction typically takes 3-6 weeks and, per LightTable, catches only about 30% of the design errors that would otherwise trigger a change order — leaving the rest to surface as costly RFIs and rework once construction is underway.

The Solution

Developers, architects, and general contractors drag and drop drawing sets, specifications, checklists, and GMP documents into LightTable; its AI parses and cross-references them across 35+ construction scopes, surfacing a prioritized, cost-ranked issue list within an average of 24 hours (full review in 3-5 days), with expert human validation layered on top of the AI findings before delivery. LightTable claims to catch roughly 70% of change-order-triggering design errors, versus about 30% for human-only review.

How You Use It

Delivery Method
SaaSWeb Application
Integrations
Not publicly specified
Project Phases
Design Development, Construction Documentation, Bidding/Procurement
Project Types
Commercial, Residential, Mixed-Use, Industrial

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Construction drawing sets (architectural, structural, MEP, civil), Project specifications
Optional:Review checklists, GMP (Guaranteed Maximum Price) documents, Prior drawing set versions for comparison
Formats:PDF
Output
What you get
Format:Prioritized, cost-ranked issue list with expert-validated AI findings, delivered via a web dashboard
Fields:Flagged coordination, constructability, and compliance issues, Issue priority ranking by cost/risk impact, Side-by-side drawing version comparisons, Value engineering recommendations, Issue resolution and review status tracking
Algorithm
How it works
Model:Proprietary AI system combining LLM-based agentic function calling and computer vision for construction document analysis (specific underlying models not publicly disclosed)
Accuracy:Claims to catch ~70% of design errors that would otherwise require a change order, versus ~30% for human-only peer review (methodology and sample size not independently published)
Privacy
How your data is protected
Retention:Per LightTable's public privacy policy: profile/account data retained for the duration of the account; device and usage data retained "as long as we need it"; data may be kept longer to comply with legal obligations. No fixed retention period is specified for uploaded project drawings or specs.
Training:Not publicly specified whether uploaded drawings/specs are used to train underlying AI models
Compliance:No SOC 2, ISO, or other compliance certifications publicly disclosed as of research date
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Preconstruction QA/QC peer review of architectural, structural, MEP, and civil drawing sets
  • ·Constructability and coordination issue detection before RFIs or change orders occur
  • ·Drawing set version comparison and change tracking across design revisions
  • ·Value engineering and cost-impact analysis prior to GMP finalization
  • ·Contract-to-design risk analysis tying GMP documents to construction drawings

Pricing

Free
Not publicly specified — no self-serve free tier found; enterprise sales via demo request
Pro
Not publicly specified
Enterprise
Custom pricing — contact vendor for a demo/quote
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Research Sources & Data QualityLast verified: 2026-07-17
Verified Data (14)
problem, solution, deliveryMethod, disciplines, projectPhases, yearFounded, founders, headquarters, fundingTotal, customerBase, algorithm-approach, algorithm-accuracy (as claimed by vendor), privacy-retention-general, useCases
Not Found (8)
integrations, api-documentation, pricing-tiers, privacy-training-data-use, privacy-data-location, compliance-certifications, exact-customer-count, supported file formats beyond PDF
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.