Fewer errors means shorter build time and lower costs. SeeBuild detects deviations from project documentation the moment they occur — so nothing needs to be redone, and no one has to pay for someone else's mistake.
SeeBuild's mission: reduce construction errors to a minimum.
Fewer errors — shorter timelines. Shorter timelines — lower costs.
Because someone always pays for a mistake. SeeBuild makes sure it never gets that far.
Built to be accessible to every builder on the planet — from a solo contractor to a global construction firm.
SeeBuild is being developed in stages. The current prototype proves the mobile workflow, while the construction AI, drawing comparison, sensor fusion, and wearable assistance are being built and validated before wider deployment.
Camera interface, voice interaction, multilingual support, location and weather context, and an offline-first application architecture.
Local object recognition, project drawing and BIM comparison, sensor-adaptive guidance, and a controlled continuous-learning pipeline.
Accuracy, safety, workflow impact, and smartwatch-assisted guidance will be measured and validated on active construction sites.
Every error found after the fact costs several times more to fix. The earlier it's caught, the cheaper the correction.
One undetected deviation triggers a chain reaction — rescheduling, material reorders, idle crews, and missed deadlines.
Quality control depends on the individual inspector — not a consistent, objective standard that works every time.
Most problems start as small deviations that go unnoticed — until fixing them means tearing out completed work.
Three steps — from pointing your device to a cloud-archived report. No paperwork, no delays.
The smartphone acts as the main processing hub. Camera-first computer vision is designed to analyze walls, reinforcement, openings, geometry, and other site elements, while advanced AR or depth features activate only on supported hardware.
SeeBuild is designed to show deviations as visual overlays and provide short voice guidance. Connected smartwatches or headsets can add vibration and directional prompts when a worker's hands are occupied — for example, “move the formwork panel 5 cm to the right.”
An inspection report is designed to be generated automatically, stored locally when needed, and synchronized with the cloud when connectivity is available. The decision history remains available to authorized project stakeholders.
SeeBuild has its own AI engine, designed from the ground up with the engineering philosophy described in the book "SeeBuild: I See What I Build". The AI doesn't automate decisions — it automates observation, so human judgment stays exactly where it belongs.
From day one, the system is designed to use a structured knowledge base of construction standards. New site data can improve the system only through a controlled continuous-learning pipeline, with validation before any candidate model replaces the stable production model.
Automatically applies local standards — Ukrainian DBN in Ukraine, IBC in the USA, Eurocodes in Europe. The right code, in the right place, at the right moment.
Difficult or uncertain site cases can be collected for review and retraining. No model update is promoted until it passes defined validation and safety checks.
No signal means the process is within limits. When attention is needed, SeeBuild speaks briefly and precisely — no noise, no distraction.
The AI shows risks and trajectories — but never replaces the engineer. Responsibility stays with the person. SeeBuild supports thinking, not substitutes it.
The figures below are target outcomes for field validation and are not presented as independently verified results yet.
Target reduction in inspection time through camera, visual, voice, and automated documentation support.
Target reduction in avoidable rework and material waste through earlier deviation detection.
Target documentation coverage for detected deviations, with time, project context, and supporting media.
Target improvement in decision speed through concise on-site guidance and shared project context.
Camera-first computer vision, optional AR and depth features, controlled continuous learning, and Bluetooth-connected wearable assistance — unified in a sensor-adaptive mobile platform.
Before the product — a mindset. The book describes how SeeBuild AI thinks, observes, and works alongside builders on site.
An engineering mindset on the construction site. Explores how control becomes
part of observation — not a delayed procedure. Lays out the philosophy that drives
the SeeBuild AI: context over data, clarity over complexity, human judgment at the center.
By Andrii Drozdovskyi — available on Amazon.
SeeBuild is built to be a global platform. The construction industry is a multi-trillion dollar market — and quality control is still done manually. That's the gap SeeBuild fills.
Get in at the ground floor of a patent-pending AI + AR construction platform with a working mobile foundation, a published book, and a founder with 20+ years on real construction sites.
Large construction firms and tech companies can integrate SeeBuild into existing workflows or co-develop specialized vertical solutions.
Interested in deploying SeeBuild under your brand or within your platform? Licensing options available for regional and global partners.
Mapped priority construction scenarios, defined the product architecture, developed the mobile foundation, and engaged potential investors and partners.
Develop the local recognition model, drawing comparison workflow, controlled learning pipeline, and field-ready deviation guidance for the first real-site validation.
Validate the full cycle: detection → visual guidance → voice or wearable alert → report. Measure accuracy, safety, workflow impact, and user feedback.
Multi-project cloud, BIM integrations, smartwatch and smart-glasses support, and international rollout with localized building standards.
Whether you're an investor, a strategic partner, or want to license the technology — reach out and let's talk.
20+ years working in construction — on real sites, with real teams, facing real problems. SeeBuild was born from that experience: a platform built by someone who has lived the pain of late-detected errors, manual inspections, and preventable reworks. Author of "SeeBuild: I See What I Build" — the engineering philosophy behind the AI. Trademark application filed in Ukraine. International patent application filed with WIPO. Open to investment, partnerships, and licensing.