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.
No form, no call. Or watch the 30-second version.
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.
Reads from your stack today
Anything not on this list connects over CSV, REST, or SQL — the same read-only path, the same approval before a single write.
One session with your security and IT teams: what we read, where it sits, who approves what, and what we can ever write.
Telemetry, work history, and the documents you point us at — only the sources you connect, and read-only on day one.
A hosted service on Google Cloud. Your systems of record stay where they are and stay authoritative.
Every draft stops at a named person. Nothing executes on an agent's own authority, and the approver is recorded with the reasoning.
Nothing, until you switch a connection to LIVE. Until then every intended write is recorded as DRY_RUN. You turn it on one system at a time, and you can turn it back off.
Production Response is the front door. Cost Reconciliation and Data Quality run on the same loop. Every next agent 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.
LinkedInA well that keeps going down, an invoice that never matches, a part that is never where the system says. In 25 minutes we’ll map where your response time actually goes.
Rather watch first? The 90-second walkthrough needs no form. Or email us at info@realaware.ai.