An Archipelago showcase · AI for AEC field reviews

Field reviews, written up before you drive home.

Walk the site on your phone. Photograph the deficiencies and conditions that matter. Narrate observations as you go. Scryb drafts a structured field-review report — site context, severity-ranked findings, recommended actions — in about thirty seconds. Edit before you send.

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Scryb on iPhone — Building Condition Assessment report with photos, voice, and AI-drafted findings

Try the sample

Click through a real Scryb report.

Below is a Building Condition Assessment of a 6-storey commercial office — four findings spanning envelope, structural, mechanical, and interior conditions. Click between them. Sign in and you’ll find this same report waiting in your account, plus the rest of the app ready to write your own.

1240 Maple Court — Bldg A · Condition Assessment · Sample

4 findings · 12 photos · 3-minute voice memo

Finding 01 of 4 · Envelope

HIGH severity

Failed sealant at precast-to-window joint, north elevation L4–5

Continuous sealant failure observed at the precast-panel-to-window joint between Levels 4 and 5 on the north elevation. Beadline is separated and aged, with crusty elastomer pulling away from the precast. Active moisture staining runs ~1 m below each of two adjacent windows, consistent with water ingress through the joint. Prior patch repairs visible nearby have also failed, suggesting systemic rather than localized degradation.

Recommended action

Schedule full re-sealant of the north-elevation precast-to-window perimeter joints within 60 days, ahead of the next freeze-thaw cycle. Specify ASTM C920 Class 50 sealant with a low-modulus profile suited to differential movement. Confirm interior finishes at L4–5 northwest column line for collateral water damage during repair access.

Failed sealant beadline at precast-to-window joint with moisture staining below

Want one for your firm?

Archipelago builds AI tools like this for AEC firms.

Scryb is one example. Archipelago partners with architecture, engineering, and construction firms to build the right AI tool for the work — field reviews, defect punch-lists, specification compliance, condition assessments, anything that turns photos and voice into a deliverable. The output is the deliverable your team is already writing; the tool gets it from site walk to draft.

  • Custom field-review tools

    Scoped to your firm’s discipline mix and report structure.

  • Photo + voice → structured report

    Engineers narrate observations on the move; the AI returns a consulting-grade draft.

  • On your stack, your terms

    Hosted on infrastructure your firm controls. Your data doesn’t commingle with other firms’.