Trust scores on every sensor reading
See "Chlorine: 2.3 ppm (Trust: 94%)" and know you can act on it. Or see "Chlorine: 2.3 ppm (Trust: 38%, probe overdue calibration)" and know to verify manually first. No more guessing.
Stop guessing. Stop driving out for false alarms. Stop second-guessing your decisions. Get instant confidence scores on every data point you see.
See how it works →You look at your SCADA dashboard and see a low chlorine reading. But is it real, or is the probe dying? You can't tell, so you either ignore it (risky) or drive out to check manually (exhausting).
Your phone buzzes constantly with SCADA alerts. After years of false positives, you've learned to ignore most of them. But what if one was real? The anxiety never goes away.
You adjusted the pump schedule based on a pressure reading. Your manager questions it. You can't prove your reasoning was sound—you just "had a feeling" based on experience.
Something's off with the treatment process. You suspect someone overrode a setpoint overnight. But your SCADA doesn't log who made changes, so you can't trace what happened.
Upstream AI gives you instant confidence—not just more data.
See "Chlorine: 2.3 ppm (Trust: 94%)" and know you can act on it. Or see "Chlorine: 2.3 ppm (Trust: 38%, probe overdue calibration)" and know to verify manually first. No more guessing.
Instead of "HIGH PRESSURE ALARM ZONE 2," you get: "Zone 2 pressure elevated 12% above normal. Likely cause: valve partially closed during yesterday's maintenance. Check valve position." Now you know whether to rush out or handle it during your next shift.
Your manager asks "How did you get 78% energy efficiency?" Click the number, see the formula, source sensors, and assumptions. You can explain your reasoning because the system shows its work.
Every manual override gets logged: "Pump 3 stopped at 2:47 AM by Operator Tim for bearing inspection." When something goes wrong, you can trace exactly what happened instead of reconstructing it from memory.
Not just "Pump 2 will fail" but "Pump 2 bearing will fail in 4-7 days (87% confident). Based on: vibration trend +15% over 5 days, temperature +8°F, runtime 2,847 hrs." You understand the why, so you can decide whether to schedule maintenance now or monitor for another day.
This isn't autopilot. The AI recommends, you choose. Want to reduce aeration by 10%? The system shows you the cost savings, dissolved oxygen impact, and compliance risk. Then YOU make the call.
"For the first time in 12 years, I actually trust what I see on my dashboard. I'm not second-guessing every reading or wondering if I should drive out. The trust scores tell me instantly whether data is good or questionable."
Join the Colorado operators already using Upstream AI.
Setup takes one afternoon. Trust starts on day one.