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Primepoint

AI platform that reads and connects construction drawings, specs, and RFIs

Vision-based AI platform that reads construction drawings, specifications, schedules, and submittals as an interconnected system. Automatically builds a project-specific knowledge graph linking tags and cross-references, flags clashes and design gaps, drafts contract-aware RFIs, and answers natural-language questions with responses traced back to the exact source drawing or spec.

$10M (seed: $4M co-led by Penny Jar Capital and NextView Ventures, plus $6M led by Navitas Capital) raisedEarly Stage
Founded 2024 · Named customers include Sundt Construction, Fortis Construction, W.E. O'Neil, Herrero Boldt Webcor, Milender White, and Bulley & Andrews (large commercial general contractors); total customer count not publicly disclosed
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Why This Tool Exists

The Problem

Construction teams manually cross-reference drawings, specifications, and submittals scattered across hundreds of disconnected PDF sheets, spending days tracing a single door tag or spec reference through a project set. Design conflicts and missing information often surface in the field weeks after a document review could have caught them, contributing to an estimated $177 billion in annual U.S. rework costs from design errors.

The Solution

Vision-based AI reads drawings, specs, schedules, and submittals as an interconnected system rather than flat text, automatically building a project-specific knowledge graph that links tags, callouts, and cross-references. The platform flags clashes and design gaps for constructability review, drafts contract-aware RFIs, automates first-pass submittal review against specs, and lets teams ask natural-language questions (via "Ask Marvin") with answers traced to the exact drawing detail or spec section.

How You Use It

Delivery Method
SaaSWeb Application
Integrations
Autodesk Construction Cloud (ACC)Procore
Disciplines
Project Phases
Bidding/Procurement, Construction Administration, Closeout
Project Types
Commercial, Higher Education, Data Center, Residential, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Construction drawings (PDF), Project specifications
Optional:Submittals, RFIs, Project schedule
Formats:PDF
Output
What you get
Format:Interactive knowledge graph linking drawings, specs, and documents, with answers and flags traced to source pages
Fields:Clash and design-gap flags, Drafted RFIs, Submittal review comparisons, Revision narratives, Natural-language Q&A answers with source citations
Algorithm
How it works
Model:Proprietary vision-based AI models built specifically for construction documents (not a retrofitted general-purpose LLM); founding team includes former Facebook AI Research computer vision researchers
Accuracy:Not publicly specified; company claims "mathematical certainty over approximation" and that all answers trace to source documents, but no quantified accuracy or benchmark metrics are published
Privacy
How your data is protected
Retention:Not publicly specified as a fixed period; privacy policy states personal information is retained "as long as necessary" to fulfill business, legal, accounting, or reporting purposes
Training:Company states customer data is not used to train foundation models or build derivative LLMs shared across customers; privacy policy separately notes that submitted prompts may be shared with generative-AI service providers
Compliance:SOC 2 Type II certified, Enterprise SSO support (SAML 2.0, OIDC) with Okta, Microsoft Entra ID, and Google, Encryption at rest and in transit; Bring Your Own Key (BYOK) option available
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Constructability review to flag clashes and missing information before they reach the field
  • ·Automated first-pass submittal review comparing product data against specifications
  • ·Contract-aware RFI drafting and RFI response checking against contract documents
  • ·Natural-language search across drawings, specs, and project documents via Ask Marvin
  • ·Cross-discipline drawing comparison and revision tracking (Auto Overlay, Revision Narrative)

Pricing

Free
Not offered; demo available on request
Pro
Not publicly specified; contact vendor for a quote
Enterprise
Custom pricing; platform built to meet enterprise GC security requirements (SOC 2 Type II, SSO/SCIM)
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Research Sources & Data QualityLast verified: 2026-07-16
Verified Data (14)
problem, solution, deliveryMethod, integrations, yearFounded, vendor, website, domain, fundingTotal, customerBase, compliance-soc2, algorithm-approach, input-formats, projectPhases
Not Found (7)
pricing-tiers, api-documentation, accuracy-benchmark-metrics, fixed-data-retention-period, webhook-support, total-customer-count, underlying-model-architecture
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.