RealAware
Pankaj Sharma
Founder, Product Architect
Technology and product background. Builds the loop, the governance around it, and the record it leaves behind.
LinkedInEvidence gathered, the owner named, a fix ready to approve. All while the well is still down. Nothing moves until a person approves it.
Same loop. Same approval. Same receipt.
Not a new dashboard. The same problems your systems already see, with the chasing taken off your people.
TodayA well goes down at 7:00 PM. Someone finds it on the morning route.
With RealAwareThe response starts while the well is still down, not the next day.
TodayThe facts live in five systems and two people’s heads.
With RealAwareEverything needed to decide arrives in one place, ready to review.
TodayWhy a call was made gets explained from memory, months later.
With RealAwareEvery decision keeps its evidence, its approver, and its reasoning.
Today“Work complete” gets counted as “problem solved.”
With RealAwareRecovery is checked against the actual production rate before anyone claims it.
AI drafts. Your people approve. The outcome gets checked.
The evidence and the operating limits come together before anyone decides. Where something is missing, it says so.
We agree what better looks like before the first loop runs. Then both teams read the same three numbers.
How quickly the exception reached the right person and became an approved action.
Whether the intervention actually restored production. Checked, not assumed.
What the wait was worth, priced at your rates and your operating economics.
One screen: the evidence, a bounded fix, and the person who owns the call.
RealAware keeps a working picture of how your operation is connected. Every recommendation is checked against it before anyone sees it.
A compressor trip is not twelve well problems. RealAware knows what sits downstream, and how much of it has nowhere else to flow.
This equipment has failed this way before. The response carries what was tried, and whether it held.
Every fact carries its source and its age. A six-week-old well test is labelled as one.
RealAware reads your schematics, work history, and live feeds, and proposes the connections it finds. A person approves each one before it counts.
The common failure signatures are built in from the start, so you are never looking at a blank rulebook.
A general-purpose assistant can read your data. It cannot know how your facility is wired, and it forgets between questions. This picture doesn’t reset: when a fix clears the problem it was meant to clear, the link behind it gains standing.
Two more views from the same demo-world exception: grounded reasoning and measured outcome.
Every line is marked grounded, partial, or unsupported. A missing source is shown as a gap, not written around.
One row per job. What was never measured reads unmeasured, not as a win.
Nothing is written to your systems until you turn it on, one system at a time.
And a response can ride along with a trip the crew was already making.
One session with your security and IT teams: what we read, where it sits, who approves what, and what we can ever write.
Every next workflow has to earn its place the same way.
More than forty years between us, across software and upstream operations. You will talk to us directly, not to a sales layer.
Technology and product background. Builds the loop, the governance around it, and the record it leaves behind.
LinkedIn
Upstream operations. Keeps the product honest about how field work actually happens, and what an operator will and will not approve.
LinkedIn
Works with operating teams through the first loop, the pilot, and everything after it.
LinkedInBring one problem that keeps coming back. In 25 minutes we’ll map where your response time actually goes.
Not ready for a call? Email us at info@realaware.ai.