RealAware
Pankaj Sharma
Founder & CEO, Product Architect
Builds the product, its governance, and the evidence record it leaves behind.
LinkedInRealAware gathers the evidence, drafts the response, and routes it to the person who owns it. Nothing is written until they approve. Nothing counts as fixed until the field data says it held.
Less time from detection to decision to verified recovery, measured against your own baseline.
TodayA well drops below baseline. Hours go to gathering context.
With RealAwareA review-ready response is drafted while the well is still off baseline.
TodaySignals, work history and operating limits sit in different systems.
With RealAwareOne response carries the evidence, the gaps, the action and its owner.
TodayWork complete is treated as problem solved.
With RealAwareRecovery is claimed only when the field signal confirms it.
We agree the baseline before the first loop runs. Drafts run in shadow first, then one approved write path goes live when the agreed gates are met. You bring a named owner and read-only exports; at the end we decide together to expand or stop.
Three clocks, not one blended number: detection to draft, draft to approval, approval to verified recovery.
Did the fix bring the signal back into the agreed range, and keep it there?
Lost rate × days of delay × your price per unit. Every input is yours, and visible.
The test is set when the work is approved. A closed ticket doesn’t teach it. The field reading does.
If the obvious fix failed on a similar well because the diagnosis was wrong, the next draft asks for the check that tells them apart.
Lessons sit in a record your team can audit, outside any language model. Unconfirmed lessons fade. No names, no scoring.
It reads what you connect, writes only where you switch it on, and replaces none of it.
Its signals and recommendations become our evidence.
Evidence, named approval, governed writes, verified outcome.
Stays the record. Governed writes land here, or nowhere.
Runs in a Google Cloud project dedicated to your operation. Every connection stays DRY_RUN until you switch it on, one system at a time.
Software and upstream operating experience, working directly with your team.
Builds the product, its governance, and the evidence record it leaves behind.
LinkedIn
Keeps the product grounded in field work and operator approval.
LinkedIn
Works with operating teams through the first response loop and pilot.
LinkedIn25 minutes. We’ll show where the response time goes and what a pilot would have to prove.
Or watch the 90-second walkthrough, or why response delay matters.