An AI command centre for construction projects. From the moment a plan set lands, every email, message and deadline stays tied to the work it belongs to — one place instead of a dozen disconnected tools.

Construction runs on documents and conversations, and both are a mess. A single job involves architects, engineers, subcontractors, inspectors and suppliers, all exchanging drawings, permits, schedules and change orders. That information lives in email inboxes, text messages, PDF plan sets, spreadsheets and people's heads.
Teams lose hours three specific ways. Manual setup — starting a project means retyping what already exists inside the plans and permits. Scattered communication — an email about a tile delay sits in one inbox with no link to the task it affects. No single source of truth — no trustworthy record of who is on the project, what they are responsible for, and what still needs to happen.
BuildClear's founder came to us with exactly this pain: replace the retyping, the inbox archaeology and the guesswork with one system where the documents do the setup and every conversation is anchored to real work.
Upload a plan set, permit, schedule or contact list and the platform reads it — pulling out the project name, location, scope, plan date and the full cast of people, then filling the project in automatically. The user watches the extraction happen live and only reviews and confirms.
Creating a task opens a conversation thread attached to it. Emails and texts pull directly onto the task they relate to, so the history of any decision lives next to the work itself, and the inbox becomes a feed of things needing attention rather than a dumping ground.
A permission and identity model that mirrors reality: each company manages its own roster and roles, hands over responsibilities cleanly, and keeps its private information walled off from the others — with support for confidential projects.
BuildClear runs as a web app and as native iOS and Android apps from a single codebase, so the same experience follows the team from the office to the job site.
Each part can be improved, scaled or replaced on its own as the product grows.
One service runs the app and data, one reads documents visually, one uses AI to extract and check the facts, and a coordination layer moves work between them without making users wait.
The extraction layer reads documents the way a person would, extracts the facts, then verifies its own output before presenting anything — construction documents are large, inconsistent and easy to get wrong.
Spend controls were built in from the start, so cost stays predictable instead of running away as volume grows — discipline most teams only add after they get burned.
Reliability engineering. Job recovery, graceful handling of failures and structured monitoring — the groundwork that lets the product grow without a rewrite.
What BuildClear concretely does now.
Product thinking, design, web and mobile, backend and applied AI — one team across the whole build.
BuildClear is how we work: take a messy, real-world problem and build software that does the tedious part for the user — with reliability and cost engineered in from day one.