A lean team has to cover the whole operation.
Equipment issues, movement schedules, field questions, and reporting compete for the same people’s time. Urgent problems push other investigations back.
Built for engineers and operators
AI that speaks midstream.
Smarter and faster operating decisions that keep product moving.
See Bolo in action.
Tell us about your operation. We’ll show you how Bolo can help your team.
The challenges we hear
Throughput, uptime, and margin depend on getting the next decision right.
A change in readings doesn’t tell you which action to take.
Flow is down, vibration is up, or pressure has changed. Teams need operating context, maintenance history, and crew observations to assess why — and what to do.
The information is spread across systems and people.
Teams search operating systems, inspection records, spreadsheets, and field updates to reconstruct events. Missing a detail can delay the investigation or change which action makes sense.
Use cases
Apply AI to throughput, maintenance, and operating decisions.
01 / 04
Find what’s slowing product down.
Review flow and pressure trends alongside equipment history, operating changes, and field observations. Investigate constraints and assess whether an adjustment, maintenance, or further review is warranted.
Throughput review
Actual · 24-hour total
92 kbbl
Plan · 24-hour total
100 kbbl
Day 7 · 92 kbbl · -8% versus plan · After the operating change
Flow declined following a recent operating change. Review pressure trends and the shift log.
Illustrative data
The team
Built by people who know the work.
Bolo’s founder and CEO, Diti Sood, began her career as a field engineer before spending years bringing AI to energy companies.
Our team brings decades of experience across engineering, physics, industrial operations, and AI. We build around your assets, operating constraints, and the decisions your team needs to make.
Our team’s experience includes
Customer story — Alpha Energy
From field signals to production decisions.
The challenge
The full picture of a well was spread across systems and field calls.
Field updates, production history, engineering data, and well files were held in different places. When performance changed, the engineer had to gather those records before deciding what caused it — and what to do next.
“You’d have to access it about four or five different ways if you wanted to see it.”
Production historyIllustrative view
Production trendOperating context
A change in the readings
Production has changed. To understand why, the engineer needs the records and observations held elsewhere.
Where the engineer had to look
Scanned records held the well’s history, past work, and engineering details.
Let’s talk
Start with one use case that matters to your team.
An equipment issue, a throughput constraint, or a reporting process that takes too much time — let’s explore where Bolo AI could help.
We’ll start with how your team works today and identify a practical first use case together.
See Bolo in action.
Tell us about your operation. We’ll show you how Bolo can help your team.