AI Expert
UptimeAI Inc · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
UptimeAI improves the operational profitability of heavy
assets and process industries by enabling next generation workforce to solve
Show the rest of the publisher’s description (74 more lines)
problems like the Subject Matter Experts, we trust. The mission for UptimeAI’s
Expert platform is to put the expertise of a seasoned engineer inside of a
self-learning AI solution. Our patented Agent-based Operational Excellence
(OEx) platform goes beyond legacy predictive maintenance (PdM) and Asset
Performance Management (APM) with root cause analysis, automated validation,
cross-learning from other equipment/units, explainable failure modes,
prescriptive recommendations, and self-learning workflows. The results are
holistic improvement of reliability, process & energy efficiency,
maintenance costs, and people productivity.
We are trusted by some of the biggest companies in Oil &
Gas, Chemicals, Utilities, Cement, and Renewable Energy space. By solving
traditional problems in a modern way our customers have been able to show 10X
ROI within the first year, resolve problems up to 8X faster and deploy up to 6X
faster than other solutions in the market.
The AI Expert platform integrates advanced AI/ML
capabilities and large language models to deliver comprehensive insights into
asset performance, failure predictions, and maintenance cost reductions. By
applying AI models to systems and leveraging our built-in FMEA framework with
1000’s of Failure modes users can predict, root cause, and mitigate easily
within a self-learning environment. We leverage data from multiple sources such
as historians, CMMS, data lakes, etc. and learn from these insights to drive
actionable insights.
- Eliminate
unplanned failures by leveraging advanced AI technologies in modeling
operations.
- Improve
operational efficiency by looking at the data of an entire site, not
just a few assets.
- Pinpoint
performance bottlenecks and efficiency losses by looking at systems
and not siloed data.
- Reduce
excess maintenance costs by identifying issues before maintenance is
needed.
- Increase
people’s productivity by eliminating inefficient analysis.
- Fully
cloud native technology is deployable in our Cloud or customers
private cloud environment.
AI Expert Features:
- Connectors
for historians, CMMS, etc.
- Built-in
Data Quality Module
- Predictive
alerts and Data quality alerts for patented system models
- Built-in
Failure Modes for Mechanical, Performance, and Electrical systems
- Built-in
recommendations and mitigations
- Unique
self-learning workflows
- Thermodynamic
efficiency calculations (IEC, PTC 4.2 standard)
- Performance
curves for comparing design vs current
- Maintenance
integration for automatic notification management
- Maintenance
analytics for optimization of costs
- Energy
management (Steam, Electric Power, Hydrogen, Flaring) and analytics
- Time
series analysis
- Custom
dashboards
- Self-service
widgets for charts
- Custom
reports and scheduler
- User
management (role, permissions)
- Model
wizard for self-service deployment and maintenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
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Publisher resources
1 linkLinked repositories
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