Real estate & construction · Construction progress monitoring
Your progress report is already two weeks old by the time it lands
Manual site walks and weekend photo compilations tell you what happened — not what is happening. By the time the report reaches the client or funder, the delay it describes has already compounded.
Banao builds computer-vision progress monitoring from your existing site cameras, mapping detected activity against the approved programme baseline and surfacing variance by floor, zone, and trade package — without adding a single site walk to your programme manager's schedule.
The first call is free · 45 minutes · no obligation
What we build
What a Banao progress monitoring deployment covers
Progress monitoring is not a dashboard bolted onto existing cameras. It is a pipeline from camera to programme milestone, and we own the full chain.
Camera-based milestone detection
Computer-vision models recognise when structural and finishing milestones are present in frame — slab poured, formwork struck, MEP rough-in visible — without relying on a trade to self-report.
Programme comparison and variance flagging
Detected progress is mapped against your approved baseline schedule and flagged by floor, zone, and trade package. Variance appears the day it opens, not the Friday it is reported.
Delay early-warning before it compounds
Activity-rate patterns — camera coverage of a zone showing less movement than the baseline for the current stage — trigger alerts before they become schedule overruns that require client notification.
Client and funder progress snapshots
Formatted progress imagery tied to milestone data, ready for client reporting packs and funder drawdown applications, with no manual collation by your project team.
Multi-site rollup for portfolio operators
Progress data from concurrent site packages aggregates into a single operations view, so a head of construction sees programme variance across ten sites in one screen rather than ten separate reports.
Dogfooding
We track our own delivery the same way
Banao runs a 300-engineer operation and does not manage it with weekly status meetings. Engineering delivery is tracked through pipeline metrics that surface blockers the day they form — not after a sprint retro.
The same data-over-narrative discipline is what we build for construction clients: progress that is visible between reports, not only when a report is filed. We have run it on our own operation long enough to know which instrumentation choices matter and which are noise.
— the same real-time pipeline visibility we build for construction clients, running on Banao's own 300-person operation.
The honest version
When construction progress AI does not earn its keep
Not every site benefits from AI monitoring. We will tell you in the Discovery Sprint if yours does not.
- Single-site projects with a small programme and an experienced PM already walking the site daily — the overhead exceeds the insight.
- No existing camera coverage and no willingness to install fixed cameras at key vantage points — without a reliable image feed, there is nothing to analyse.
- Programmes that restructure fundamentally every few weeks — AI baseline comparison requires a stable reference to measure against.
- Projects under three months duration where the integration and training window consumes most of the monitoring benefit.
How we start
How we work
We start with a fixed-scope audit before any build commitment, so you know the camera coverage, data quality, and likely accuracy before you sign off on a build.
- 01
Discovery Sprint
$0
Two weeks. We audit your camera positions, ingest a sample of footage, run milestone detection against your programme baseline, and hand back a feasibility read — coverage gaps, accuracy expectations, and the ROI case. Yours to keep, credited against the build if you proceed.
- 02
Data pipeline and model build
Camera integration, milestone detection model trained on your site type and programme, and programme-comparison logic wired to your schedule format — P6, MS Project, or spreadsheet baseline.
- 03
Production monitoring and reporting
Live operations dashboard, automated client snapshot generation, delay-alert routing to your PM team, and a quarterly model update cadence as your site progresses through stages.
FAQ
Frequently asked questions
What camera coverage do you need to start?
Fixed cameras with line-of-sight to the main work zones — typically two to four per major floor plate for a mid-rise project. The Discovery Sprint audits your existing coverage and tells you exactly where gaps exist before any build commitment.
How does the system compare progress against the programme?
We ingest your approved baseline schedule and map each milestone to camera-visible evidence criteria. When the model detects those criteria in frame, the milestone is marked complete and compared against the baseline date. Variance is calculated daily, not weekly.
Can it monitor multiple sites running in parallel?
Yes. Each site runs its own detection pipeline, and a portfolio-level dashboard aggregates variance across all active sites. The multi-site view is part of the standard build deliverable, not a separate project.
What programme formats does it integrate with?
Primavera P6, Microsoft Project, and spreadsheet baselines are the three most common. We extract the milestone structure and target dates during the Discovery Sprint and build the comparison logic to your specific format.
What happens when a camera is obscured or offline?
The system flags the affected zone as unmonitored in the dashboard rather than reporting false progress. Alerts are suppressed for obscured zones and escalated to your PM team so the gap is addressed, not silently ignored.
Get started
Find out if your site cameras can carry this
In 45 minutes we will review your site layout, camera positions, and programme structure, and tell you whether AI progress monitoring is worth building — and what the Discovery Sprint would establish.
Book a Discovery Sprint