Sold by: AI Expert: Optimize Asset Operations
UptimeAI's "AI Expert" software empowers operations teams to comprehensively optimize reliability, energy efficiency, process, and maintenance. AI Expert is the first solution that Compared to predictive analytics and APR solutions, AI Expert offers 10X improvements and - 8X faster to get to the root cause - 240X lesser data science effort - 10X fewer noise alerts - ROI within 3 months
Overview
82% of operational issues are unexpected and complex. They can cost $ 10 million to $ 50 million annually for a manufacturing site. UptimeAI's "AI Expert" software empowers operations teams to optimize reliability, energy efficiency, process, and maintenance comprehensively. UptimeAI offers a ready-to-deploy software application for operations that uses AI and domain knowledge to mimic experts in learning and solving operational issues across functions.
Differentiators:
- Patented system approach and built-in equipment templates to diagnose cause and suggest mitigations.
- Unique self-learning workflows to continuously improve from user actions without additional data science effort.
- 10X improvements over traditional solutions: 10X fewer noise alerts, 8X faster to find cause, and 240X less data science work.
- Trusted by clients who are among the top 5 in energy, cement, and chemicals verticals. References are available.
- 100% ROI in 3-6 months delivered in Energy, Renewables, Chemicals, Metals, Food & Beverages, Cement, and LNG.
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
How does it work
- Connects to historians (or data lake, SCADA systems, custom data sources) to process all process, mechanical, environmental, and electrical sensor data to predict, diagnose, explain, suggest mitigation, and automatically learn from the user actions
- Can also integrate with CMMS systems such as SAP PM, IBM Maximov to offer maintenance integration, and maintenance analytics to optimize maintenance costs
Information Security:
- We are AICPA SOC2, ISO 27001/27017/27018 compliant and use 3rd party VAPT audit, encryption, VPN for further security. For more details, please reach us at aws.marketplace@uptimeai.com .
Services:
- Full deployment of the solution
- Standard User and Advanced User Training
- Enterprise program
- Remote monitoring support, technical support
- Automatic software update
Pricing: Pricing is customized depending on the scope (reliability, performance, maintenance, energy, etc.) and the integrations with existing systems. The pricing shared is for the base module designed to demonstrate the value. For customized scope and multi-year enterprise pricing, please reach us at aws.marketplace@uptimeai.com
AI Expert - Reliability & Performance
- Software: Connector to one Historian Instance via Web API or OPC, Data Quality, Anomaly Detection, Failure Mode Templates with Recommendations, Alerts, Alert Workflows, Failure Modes & Rec, self-learning, Time-Series Analysis, KPI Widget Builder, Dashboard, KPI Reports, user management.
- Services: SW connector integration to one (1) Historian PI, Model deployment for all assets at the site/unit, KPI, Dashboard, and Report configuration, User configuration and permissions - Three (3) days of virtual training, Software support, Customer Advocate
Highlights
- New category solution that uses self-learning workflows connecting AI and domain knowledge to mimic experts
- 10X Reduction in false alerts. 8X Faster to diagnose and act. 240X Less data science effort.
- Built-in failure modes and recommendations. Comprehensive Coverage: 100% of assets, reliability, process, energy, maintenance optimization
Details
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Tag Count | Upto 1500 sensor tags and 25 systems from a unit/site | $150,000.00 |
Dimensions summary
This listing uses a single contract dimension based on tag count. You buy capacity to cover up to 1,500 sensor tags and 25 systems from one unit or site. Pricing scales with the size of your monitored environment, so larger deployments require more capacity. The unit of measure is sensor tags, which connect the AI reasoning agents to your operational data across reliability, process, energy, and maintenance workflows. There are no separate tiers or add-ons to compare; you commit to capacity for one unit or site under the contract term.
Top-of-mind questions for buyers
A sensor tag is one data point from your operational systems, such as a single time-series signal from equipment. The AI reasoning agents connect to these tags to analyze process data, equipment health, and maintenance history. Your contract covers up to 1,500 tags across up to 25 systems from one unit or site.
The contract covers capacity for up to 1,500 sensor tags and 25 systems from one unit or site. If your monitored environment grows past these limits, you need added capacity. Larger deployments require more capacity under the contract, so cost scales with the size of what you monitor.
Pricing is based only on tag count and systems covered. The reasoning capabilities across reliability, process, energy, and maintenance workflows work off the tags you connect. There are no separate add-ons or per-agent charges to compare; you commit to capacity for one unit or site.
www.uptimeai.com
Helpful?
Vendor refund policy
We do not currently support refunds. If you are unsatisfied for any reason, please contact us at aws.marketplace@uptimeai.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
AI PlantOps for Decision Intelligence is built on configurable components tailored to plant operations workflows across maintenance & reliability, asset integrity, and production optimization. It uses specialized engineering agents that combine plant data such as P&IDs, SOPs, maintenance manuals, and SAP systems with engineering domain knowledge. These agents create a system-level ontology that maps equipment and process relationships hierarchically while preserving operational context. This enables dynamic identification of critical production paths through the dynamic Critical Production Containment Path (dCPCP).
The global artificial intelligence in paints and coatings market anticipates robust expansion, driven by adoption in automotive, defense, and packaging sectors alongside technological innovations. Valued at USD 2.11 billion in 2024, projections forecast USD 8.06 billion by 2030, with a CAGR of 24.70% from 2025 onward. This analysis explores key drivers, challenges, market segments, regional insights, and strategic advancements shaping the industry future.
Envative’s cross-disciplinary team of experts offers complete IIoT development services, beginning with strategy and consulting to end-to-end implementation and integration. Smart Manufacturing, Industrial Automation, Security Control Automation are just some of the IIOT areas we are proficient in.
Turn imagination into art. Powered by the latest technology, our AI creates art and images based on simple text instructions.
This AI Art model can produce diverse painting styles, including oil, watercolor, modern, abstract, and more.
Our technology can also simulate Van Gogh, Monet, Picasso, and famous painters, or can attempt to create art in the style of famous paintings.
Please inquire about photorealistic styles.
Common applications include creating graphics for merchandise, book art, album covers, fan art, and simply helping people see their imaginations manifested in more tangible form.
AI-powered assistant for judicial document automation in Brazil. Integrated with eProc and compliant with CNJ 615/2025, optimizing productivity and legal accuracy.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI.
Turn life into personalized art with AI. Invigorate boring selfies, pet photos, and vacation pictures by recreating them in different artistic styles. From Van Gogh to pixel art to Chinese paintings, our AI is your personal street artist and can generate custom artistic pieces from across the style spectrum.
AI Spark is a governed entry point for AI: a bounded operational use case connected through TomorrowX Data Mediation™, deployed into your AWS account, without replacing existing systems. Many AI ideas stall between demonstration and production because live workflows introduce real data, identity, approvals and risk. AI Spark connects the model to a meaningful but contained workflow through a governed mediation boundary, so data access, output handling and action are controlled and evidenced from the start. Organisations retain full control of infrastructure, security and network boundaries, including in regulated, secure and air gapped environments. Designed for partner-led delivery, AI Spark produces an operational proof with visible controls and evidence for business, risk and technical stakeholders, and a reusable capability for scaling AI adoption.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.