Building smarter, brick by brick

Quick Answer

Brickato is an AI-powered construction document analysis platform. Founded in 2025, Brickato enables construction professionals to upload project documents - tenders, BOQs, contracts, specifications, drawings, even scanned and handwritten materials - and ask questions in natural language. Every answer comes with exact citations to the source document, page, and section. Brickato is the first construction AI platform built for multilingual support and serves mid-market contractors across the full project lifecycle, from tender analysis through execution to close-out.

Our Mission

Build the AI-native operating system for construction companies.

Construction professionals deserve tools that match the complexity and intelligence of their work. Brickato exists to empower construction companies to win more tenders, execute projects with confidence, and grow smarter through AI that understands their documents, their language, and their business.

The Problem We're Solving

The construction industry generates an enormous volume of critical documents - tenders, bills of quantities, specifications, contracts, change orders, compliance records, site reports. These documents contain the answers to almost every question a construction team will face during a project.

The problem is finding those answers.

Construction teams spend an estimated 35% of their time searching for information across fragmented documents. A single tender package can run to hundreds of pages across multiple formats. Specifications contradict BOQ items. Handwritten notes reference conditions buried in contract appendices. Scanned PDFs from subcontractors arrive with no searchable text.

The result is costly: $177 billion lost annually to rework and delays in the US alone, over 30% of contractual disputes triggered by BOQ ambiguities, and tender analysis processes that consume 40 to 80 hours of manual review per bid.

This is not a technology gap. Construction has project management tools, drawing software, and scheduling platforms. What it lacks is document intelligence - the ability to understand, cross-reference, and query the knowledge locked inside project documents.

That's what Brickato builds.

How Brickato Works

Brickato replaces manual document review with conversational AI that understands construction.

Upload any document. PDFs, Word documents, Excel spreadsheets, images, scanned blueprints, even handwritten notes. Brickato processes and indexes them using advanced OCR and natural language processing, with full support for documents in multiple languages.

Ask questions in natural language. "What are the liquidated damages terms?" "Which BOQ items don't have matching specifications?" "What did the subcontractor say about the delivery timeline?" "Show me all payment milestones." Teams ask the questions they'd normally spend hours researching.

Get cited answers. Every response includes the exact source - document name, page number, and section. There's no ambiguity, no hallucination, no guessing. Answers are verifiable and defensible, the way construction professionals need them to be.

Organization-aware intelligence. Brickato learns from your company profile - your contractor classification, equipment, certifications, past projects, and strategic preferences - to provide personalized, context-aware answers.

The Technology

Brickato is built on a modern AI architecture designed specifically for the challenges of construction documents:

Hybrid Retrieval System. We use a multi-layered approach that combines keyword search, semantic understanding, and document relationship mapping to find the right answers - even when documents use inconsistent terminology or formats.

Advanced Document Processing. Our pipeline handles scanned documents, handwritten annotations, and mixed-language materials with high accuracy. From OCR to search to response generation, every component is optimized for real-world construction documents.

Multi-Language Design. Brickato is built from the ground up for multilingual document processing - because construction professionals don't always think, read, or work in English.

Citation-Mandatory Architecture. Every answer must reference its source. This isn't a feature toggle - it's a design principle. In construction, unverifiable claims are worthless. Brickato's citation system links every statement to the exact document, page, and section where the information originated.

Full Project Lifecycle

Unlike point solutions that address a single phase, Brickato works across the entire construction project lifecycle:

Win: Tender Intelligence. Analyze tender packages in minutes instead of days. Identify risks, flag BOQ discrepancies, detect missing specifications, and understand contractual obligations before you bid. Make informed bid/no-bid decisions backed by AI-powered analysis.

Execute: Project Intelligence. During execution, teams query specifications, BOQs, and contracts in real time. Track change orders against original scope. Cross-reference site conditions with contractual requirements. Keep the entire project's document knowledge accessible to everyone who needs it.

Close: Knowledge Capture. At close-out, assemble compliance documentation, review outstanding obligations, and capture lessons learned. Every project becomes searchable institutional knowledge that informs the next one.

Why We Start Local

Brickato targets high-growth construction markets for compelling reasons:

Multi-language support as a competitive moat. No other AI construction platform provides production-grade multilingual document processing. For contractors, this isn't a nice-to-have - it's a requirement. Tenders, contracts, and specifications are overwhelmingly in multilingual, and existing English-first tools fall short.

Government-driven tender volume. Over 60% of construction originates from government tenders, creating a massive, structured document ecosystem perfectly suited to AI analysis. With over 93,000 tender-bid evaluations annually, the volume drives clear ROI.

Infrastructure investment. Many markets are in the middle of a historic infrastructure cycle, including the $41 billion national metro project. This creates enormous demand for efficient tender and document analysis at scale.

Technology adoption. Construction industries in high-growth markets are moving toward AI adoption, driven by labor shortages (a 120,000-worker gap), margin pressures, and a culture of technological pragmatism.

Market Opportunity

Brickato operates in a large and growing market:

• $28.4 billion - global construction AI software market projected by 2035, growing at 20%+ annually
• $8.1 billion - serviceable addressable market in preconstruction AI software by 2030
• ₪583 million (~$160M) - total addressable market for construction tender intelligence
• 93,775 tender-bids annually, each requiring document analysis
• 5,165 active bidders who can benefit from AI-powered document intelligence

The competitive landscape is fragmented. Legacy players like Procore, Autodesk, and Bluebeam dominate project management and design, but none offer AI-powered document Q&A with citations. Local competitors like ConWize focus on cost estimation, not document intelligence. There is no dominant player in AI-powered construction document analysis - a window that Brickato is built to fill.

What We Believe

Construction professionals are underserved by technology. The industry accounts for 13% of global GDP but remains one of the least digitized sectors. The tools that exist were built for a pre-AI era. Construction teams deserve better.

AI should augment expertise, not replace it. Brickato doesn't make decisions for construction teams. It makes the information they need accessible, verified, and instant - so they can make better decisions faster.

Every answer needs a source. In construction, trust comes from traceability. If an AI can't show you exactly where an answer came from, it's not useful. Citations are non-negotiable.

Pricing should be straightforward. Construction companies shouldn't need a procurement process to try an AI tool. Transparent, per-project pricing lets teams start immediately and scale as they see value.

Language matters. Building for multiple languages isn't just localization - it's building a product that actually works for the people who use it. The best AI is the one that understands your language, your documents, and your context.