Kamai

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Turning Construction Blueprint Chaos Into Structured Data

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Artificial Intelligence (AI)Construction Technology (ConTech)

Kamai Overview

Kamai: A Vertical AI Agent for 2D CAD, Blueprint Parsing, and AI-Powered Construction APIs

Kamai is a next-generation vertical AI agent built for the architecture, engineering, construction, and real estate industries. Designed to understand 2D CAD files, blueprints, floor plans, and technical drawings, Kamai helps teams automate document review, quantity extraction, design analysis, and construction intelligence through a powerful AI platform and developer-friendly API.

Unlike generic AI tools, Kamai is purpose-built for the complexity of construction documentation. It combines a specialized foundation model for CAD with an advanced blueprint parser that can read, interpret, and structure information from 2D drawings. Whether users are analyzing architectural plans, engineering sheets, permit sets, construction drawings, or CAD exports, Kamai turns static files into searchable, usable, AI-ready data.

At the core of Kamai is its 2D CAD foundation model, designed to understand the geometry, symbols, annotations, layers, dimensions, schedules, and spatial relationships found in technical drawings. This allows Kamai to do far more than basic OCR. It can recognize rooms, walls, doors, windows, fixtures, equipment tags, measurements, material callouts, and construction details. By combining visual AI, geometric reasoning, and domain-specific construction knowledge, Kamai enables teams to interact with drawings in a faster and more intelligent way.

Kamai’s blueprint parser API allows businesses to integrate AI-powered drawing intelligence directly into their own software, workflows, and platforms. Developers can use the API to upload blueprints, process CAD files, extract structured data, detect objects, classify drawing elements, compare revisions, and answer natural language questions about project documents. This makes Kamai a powerful infrastructure layer for construction technology companies, estimating platforms, property technology tools, design software, and enterprise project management systems.

For estimators, Kamai can accelerate takeoffs by identifying quantities, dimensions, areas, counts, and material information from 2D plans. For architects and engineers, it can support drawing review, design coordination, and issue detection. For contractors, it can help parse bid sets, compare drawing revisions, summarize changes, and reduce manual review time. For owners and developers, Kamai makes complex construction documents easier to understand and query.

As a vertical AI agent for 2D CAD and blueprints, Kamai is optimized for industry-specific workflows. Users can ask questions such as, “How many doors are shown on Level 1?”, “What is the total square footage of office space?”, “Find all rooms with tile flooring,” or “Compare this drawing revision to the previous version.” Kamai can parse the relevant sheets, analyze the visual and textual data, and return structured answers that help teams move faster.

Kamai helps transform construction documents from static files into intelligent data assets. Traditional blueprint review often requires hours of manual work across large plan sets, especially when teams need to extract details from multiple sheets or identify changes between revisions. Kamai uses AI to reduce repetitive work, improve accuracy, and make project information more accessible.

For companies building AI-native construction workflows, Kamai provides the foundation: a 2D CAD AI model, a reliable blueprint parser, and a scalable API for technical drawing intelligence. Whether used as a standalone vertical AI agent or embedded into enterprise software, Kamai enables smarter, faster, and more automated construction decision-making.

Kamai is redefining how teams work with 2D CAD, blueprints, and building documentation. With AI-powered parsing, CAD understanding, and API-first infrastructure, Kamai gives the built environment a new intelligence layer for design, construction, and real estate workflows.

Kamai: A Vertical AI Agent for 2D CAD, Blueprint Parsing, and AI-Powered Construction APIs

Kamai is a next-generation vertical AI agent built for the architecture, engineering, construction, and real estate industries. Designed to understand 2D CAD files, blueprints, floor plans, and technical drawings, Kamai helps teams automate document review, quantity extraction, design analysis, and construction intelligence through a powerful AI platform and developer-friendly API.

Unlike generic AI tools, Kamai is purpose-built for the complexity of construction documentation. It combines a specialized foundation model for CAD with an advanced blueprint parser that can read, interpret, and structure information from 2D drawings. Whether users are analyzing architectural plans, engineering sheets, permit sets, construction drawings, or CAD exports, Kamai turns static files into searchable, usable, AI-ready data.

At the core of Kamai is its 2D CAD foundation model, designed to understand the geometry, symbols, annotations, layers, dimensions, schedules, and spatial relationships found in technical drawings. This allows Kamai to do far more than basic OCR. It can recognize rooms, walls, doors, windows, fixtures, equipment tags, measurements, material callouts, and construction details. By combining visual AI, geometric reasoning, and domain-specific construction knowledge, Kamai enables teams to interact with drawings in a faster and more intelligent way.

Kamai’s blueprint parser API allows businesses to integrate AI-powered drawing intelligence directly into their own software, workflows, and platforms. Developers can use the API to upload blueprints, process CAD files, extract structured data, detect objects, classify drawing elements, compare revisions, and answer natural language questions about project documents. This makes Kamai a powerful infrastructure layer for construction technology companies, estimating platforms, property technology tools, design software, and enterprise project management systems.

For estimators, Kamai can accelerate takeoffs by identifying quantities, dimensions, areas, counts, and material information from 2D plans. For architects and engineers, it can support drawing review, design coordination, and issue detection. For contractors, it can help parse bid sets, compare drawing revisions, summarize changes, and reduce manual review time. For owners and developers, Kamai makes complex construction documents easier to understand and query.

As a vertical AI agent for 2D CAD and blueprints, Kamai is optimized for industry-specific workflows. Users can ask questions such as, “How many doors are shown on Level 1?”, “What is the total square footage of office space?”, “Find all rooms with tile flooring,” or “Compare this drawing revision to the previous version.” Kamai can parse the relevant sheets, analyze the visual and textual data, and return structured answers that help teams move faster.

Kamai helps transform construction documents from static files into intelligent data assets. Traditional blueprint review often requires hours of manual work across large plan sets, especially when teams need to extract details from multiple sheets or identify changes between revisions. Kamai uses AI to reduce repetitive work, improve accuracy, and make project information more accessible.

For companies building AI-native construction workflows, Kamai provides the foundation: a 2D CAD AI model, a reliable blueprint parser, and a scalable API for technical drawing intelligence. Whether used as a standalone vertical AI agent or embedded into enterprise software, Kamai enables smarter, faster, and more automated construction decision-making.

Kamai is redefining how teams work with 2D CAD, blueprints, and building documentation. With AI-powered parsing, CAD understanding, and API-first infrastructure, Kamai gives the built environment a new intelligence layer for design, construction, and real estate workflows.

Company

Learn more about the company and team behind Kamai.

Kamai

Kamai is a vertical AI agent and blueprint parser API for 2D CAD, turning architectural, engineering and construction drawings into structured, searchable data for quantity takeoffs, drawing review, revision comparison and construction intelligence.

Kamai Alternatives

See how Kamai stacks up against similar tools before you decide.

Ichi

Ichi is an AI-powered platform that helps architecture, engineering, and construction teams review complex project documents more efficiently. It supports building code compliance, automated QA/QC, construction administration, and firm-wide knowledge management. By analyzing drawings, submittals, RFIs, and other documents, Ichi identifies missing information, potential conflicts, and items requiring attention, helping teams reduce repetitive work, improve accuracy, and make faster, better-informed project decisions.

InspectMind AI

InspectMind is an AI-powered platform that reviews construction drawings, specifications, and submittals for potential code violations, coordination conflicts, constructability issues, and missing information. Designed for architects, engineers, contractors, owners, and municipalities, it provides evidence-backed findings that help teams complete plan checks and QA/QC more efficiently. By identifying costly issues earlier, InspectMind supports faster reviews, stronger documentation, reduced rework, and better-informed decisions throughout project planning and delivery across diverse project types.

MetaField

MetaField is industry-leading, modern software that automates field, lab, and reporting workflows for geotechnical engineering, construction materials testing, and inspection firms of all sizes. It replaces manual processes and disconnected systems with a single platform, enabling teams to capture data once and use it across every stage of work—improving accuracy, speed, and visibility. Built for the complexity of real-world operations, MetaField is trusted by 175+ firms across North America to streamline workflows and deliver consistent results. Learn more at https://www.metafield.com/.