Construction teams run on WhatsApp. We build AI systems that live inside your existing workflow — processing photos, voice notes, and PDFs automatically.
You scroll through 3 WhatsApp groups looking for a photo from last Tuesday's foundation inspection. It's in there somewhere.
The engineer updated the lintel schedule. Two contractors already ordered the wrong steel. Nobody caught it in the PDF thread.
Important condition mentioned verbally on site. Nobody typed it up. It didn't make it into the project notes. The re-inspection failed.
You know the work is happening. But you can't tell which site has open permit items, which has pending deliveries, and which has a subcontractor waiting on a decision.
Every integration we build connects to your WhatsApp groups, processes your files, and responds in your existing chat. No new logins, no dashboards, no software to learn.
Your team already uses WhatsApp. Your AI works inside it — no new apps, no training, no change management.
Site supervisors send voice notes. The system transcribes, extracts action items, and files them automatically.
Every photo sent to the project group gets tagged, described, and indexed. Find any image in seconds with a plain English query.
Permits, specs, delivery notes — automatically extracted, summarized, and cross-referenced against your project data.
Photo, PDF, or voice note hits your WhatsApp project group
Transcribed, described, and indexed in under 60 seconds — zero API cost per file
Any team member queries the full project history in plain English, across all sites
The answer arrives directly in the group chat — no app to open, no dashboard to check
A Lisbon-based architecture and construction firm with multiple active projects. We built their entire AI infrastructure from scratch.
Photos, PDFs, voice notes — all processed automatically
Full project history searchable in plain English
Three-model AI architecture (local + cloud hybrid) — 93% lower cost than cloud-only
Zero per-query cost on local infrastructure
We benchmarked every major vision model on real construction photos, PDFs, and permit documents before choosing a single model for Cabido Design.
71 images/minute · $0/image · Runs on-premise
“Good enough for cataloging. Fast enough to keep up with any job site.”
6/6 accuracy on structural specs · ~$0.01/page
“The only model that correctly extracted every lintel dimension from engineering drawings.”
49/50 quality score · Used for reports & compliance only
“Escalated only when it matters — not for every photo.”
Claude Opus 4.6 — the highest-quality vision model in the benchmark — scored 0/6 on structural specification extraction. It got the table format right but missed every dimension. The wrong steel angle size on a masonry wall isn't a minor error.
Gemini 3.1 Flash-Lite scored 6/6 on the same test.
This is why model selection matters more than model prestige.
The piece that connects AI to your team is the channel. OpenClaw is an open-source orchestration layer — we run a customized version that plugs directly into WhatsApp, Slack, Telegram, and the other tools your crew already uses every day.
WhatsApp, Telegram, Slack, iMessage, Discord — the AI shows up where your crew already talks. No new apps to install.
OpenClaw is open source. We run a customized fork tuned specifically for construction workflows — no vendor lock-in.
Not every operation needs AI. OpenClaw routes the right queries to the right systems — field chats, document search, or site alerts.
We'll show you how it works in your specific environment — your WhatsApp groups, your file types, your workflow.
Book a Demo