Most businesses are not lacking data. They are lacking clarity about where money is actually won or lost.

Pistis Analytics is a Colorado Springs data science firm built on 13 years at Chevron spanning enterprise software, infrastructure, and production machine learning: predictive maintenance across 500+ field assets, time-series forecasting, optimization, and computer vision, delivered on Azure and Seeq with over $3M in measured savings.

We work in two lanes:

→ Energy and industrial companies whose operations generate more sensor, equipment, and process data than their teams can use. We build the predictive maintenance, forecasting, and anomaly detection layer on a fractional or project basis, without the six-month hiring cycle.

→ Home service contractors in the Colorado Front Range (radon, HVAC, roofing, electrical, plumbing, restoration) losing winnable jobs somewhere between the first customer call and the signed contract. Our diagnostic work finds exactly where that revenue leaks (quoting speed, follow-up, pricing, scheduling) and fixes the highest-value gap first.

Both lanes are the same discipline: operational data, applied where money is actually won or lost.

What sets our work apart is the last mile.
Not models, but systems leaders trust and teams adopt. Every engagement starts with a fixed-fee paid diagnostic, so you see the findings and their dollar value before committing to anything bigger.

Pistis Analytics was founded by Bayo Aderibigbe: former Lead Data Scientist at Chevron, MS in Data Science (Northwestern University), Seeq Certified Super User, and member of Chevron's corporate Time Series and Optimization Capability Councils.

If any of this maps to a problem you are carrying, message us here or email bayo@pistisanalytics.com. We respond to both.

Pistis Analytics LLC

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Pistis Analytics LLC

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