Video: Stratum AI CoreIQ Visualizer 

A dark technical opener on black. Three icon-led columns across the screen show the old workflow: a clipboard and bench sketch for manual logging, a spreadsheet grid for time-consuming reviews, and mismatched highlighted rock annotations for inconsistent interpretation. Use white line icons with yellow and cyan accent highlights. The headline centered above reads 'The old way: manual, slow, inconsistent.' Animate each column in one after another from left to right with subtle glow pulses. Keep the feel premium, sparse, and grounded, not playful.

Manual logging. Slow reviews. Inconsistent calls.

Animate the acronym SEAM expanding into 'Stratum Embedded Attention Model' across the screen. Large bold acronym first, then each word resolves beneath it with a slowed, precise reveal. Add a simple right-side pipeline animation: drone captures a bench face image, the image flows through a stylized neural network, then outputs a verified geotechnical insight badge. Use white text with yellow and cyan connector lines and subtle motion. Include a small lower caption area reserved for a sentence about automated inspection at scale.

Automated inspection, consistent insight at scale

A four-step horizontal process strip titled 'Experts stay in control'. Show only step 1 active: '1. Select'. Animate a lasso shape circling a batch of GSI points on a simplified pit map. The other three steps, Review, Edit, Approve, are visible but dimmed. Use white typography, yellow active step highlight, cyan connector line, and black background.

Continue the same four-step strip, now with only step 2 active: '2. Review'. Show a left-aligned panel of unfiltered bench face thumbnails sliding in one at a time while the selected pit region remains visible to the right. The active step glows yellow, inactive steps remain dim. Keep the sequence clean and sequential, never simultaneous.

Continue the same four-step strip, now with only step 3 active: '3. Edit'. Zoom into a simplified Surface Condition table and animate one field updating, then a confirm check appearing. Keep a cropped rock image visible beside it. Use precise UI card styling, yellow focus ring, and cyan micro-accents.

Finish the four-step strip with only step 4 active: '4. Approve'. Animate the selected pit area changing color to a validated state with a visible approval badge and subtle audit trail ticks. The first three steps remain completed with small checkmarks. The whole visual should communicate validation, sign-off, and auditability clearly.

Understand why the AI made each prediction

SEAM projects spatial attention heatmaps back onto the original rock face

Bench face photos become pit-wide intelligence

Open on the pain of manual geotech workflows and why they break at scale.

Introduce SEAM as the shift from manual inspection to scalable, consistent AI.

Show isolated measurements becoming pit-wide GSI intelligence across live 3D topography.

Demonstrate expert review, correction, and approval as a visible validation workflow.

Explain how attention maps reveal what drove each prediction on the bench face.

Use a brief transition that invites deeper verification of a single prediction.

Connect any 3D prediction back to its original full-resolution source image.

Expand from bench-scale insight to a unified 3D geotechnical decision environment.

End on the core value and hold space for logo and technical demo CTA.

Features integrate directly into your models

Every drill program generates thousands of core photographs,

yet extracting consistent geotechnical data from them has traditionally meant hours of manual work.