The continuous, infinite time study.
AI cameras at key workflow locations act as a continuous, infinite time study — capturing every activity, movement, and delay to the minute, 24/7, with zero manual input. The equivalent of a permanent $40–80K consultant on site, forever.
Book a pilot
The cost of a traditional study
A formal cycle time study costs $40–80K, takes 4–6 weeks, and is stale by the time it's written.
Without Stratos
- 01
Dedicated observers stationed underground for weeks
$40–80K per study
- 02
Significant site disruption during observation period
4–6 weeks to complete
- 03
Point-in-time data — invalid before the next project phase
Once every 3–5 years
Total: $40–80K, one-time, already stale
With Stratos
- 01
AI cameras capture every activity continuously, 24/7
Zero marginal cost
- 02
No site disruption — cameras observe without intervention
Every shift, every heading
- 03
Always current, always connected to actuals
Infinite studies per year
Total: Continuous, permanent, always live
What the AI actually does
49 AI layers. Every classification traceable to footage.
Activity classification
Distinguishes drilling, mucking, scaling, tramming, setup, collaring, pull-out, and idle from camera observation — automatically, without input.
Delay detection & classification
Detects the transition from productive to non-productive state with start time accurate to 60 seconds, then classifies cause into 25+ delay sub-categories.
Cycle timing
Times every phase of every cycle individually, so the bottleneck is located at the activity level rather than the shift level.
True OEE calculation
Separates productive from non-productive state minute by minute — including the operational availability that maintenance records cannot see.
The five Tier 2 deliverables
The video-verification layer generates more value than the entire software platform beneath it.
| Deliverable | Before | After | 2-yr NPV |
|---|---|---|---|
| Equipment Efficiency & Availability | 18–25% over-reported utilisation | True camera-observed OEE per unit per shift | $720K |
| Cycle Time Intelligence | $40–80K per study, every 3–5 years | Every cycle, automatically, continuously | $640K |
| Automated Delay Reporting | 4–6 of 12–18 delays recalled | 100% captured & classified to 60-second accuracy | $580K |
| Auto Shift Intelligence Report | 45 min + 12 hr delay | 4 min auto-generated | $310K |
| Automated SIC | 8–11 hr blind spot per shift | 0 — continuous, no heading walks | $395K |
| Tier 2 total — modelled 2-year NPV | $2.645M | ||
Figures shown are modelled projections based on Stratos operational analysis of typical underground development projects — a 14-person crew, four active headings, a 480-day project duration, and stated labour rates. NPV is calculated over two years at a 10% discount rate. Actual results vary by site, scope, crew, and adoption level. Stratos will baseline your own KPIs during the first four weeks of any engagement.
Trust architecture
The AI is auditable. That's the selling point.
"Every number comes with a proof of work."
AI Advisory: answers in one meeting.
Our advisory team turns high-fidelity, face-to-mill data into clear actions. The Stratos Data Engine feeds our Human + AI consulting solution to deliver answers, priorities, and executive-ready recommendations in minutes. Clients get answers in one meeting when they would be waiting weeks-months with other advisory firms.
22–35%
modelled performance gain through process changes identified by Stratos Advisory
