About Scraitec
Scraitec by Resolto Informatik by Resolto Informatik is an advanced Internet of Things platform focused on condition monitoring, predictive maintenance, and industrial analytics.
Scraitec by Resolto Informatik by Resolto Informatik is an advanced Internet of Things platform focused on condition monitoring, predictive maintenance, and industrial analytics. Designed primarily for asset-intensive industries, Scraitec enables organizations to collect and analyze sensor data from machines and infrastructure to improve operational efficiency and reduce downtime. Its key features include real-time data acquisition, anomaly detection, predictive analytics, and customizable dashboards for monitoring equipment health.
Pros & Cons
- Empowers OEMs to generate new revenue streams through innovative AI-based service business models.
- Leverages existing manufacturing data, requiring no massive overhaul of current data collection infrastructure.
- Secures consistent product standards by proactively detecting factors that lead to quality loss.
- Minimizes operational expenses by optimizing energy consumption and avoiding expensive peak load bottlenecks.
- Prevents costly unplanned downtime by identifying equipment wear and potential failures before they happen.
- Reliance on a cloud-based SaaS model may raise data sovereignty concerns for some sensitive industrial sectors.
- The predictive nature of the software requires a period of baseline data collection to define "normal."
- Initial integration with older legacy manufacturing plants could present technical compatibility challenges.
- Implementation may require significant technical expertise to align domain knowledge with machine learning models.
- Effectiveness depends heavily on the quality and consistency of the existing data being collected.
Features
Key features
Extracts actionable insights and value from data that is already being collected by manufacturing systems.
Enables Original Equipment Manufacturers to integrate AI into their plants and offer new "as-a-service" business models.
Combines specialized industrial knowledge from Festo with advanced machine learning algorithms from SCRAITEC.
Identifies potential losses in production quality before they occur to ensure consistent output.
Analyzes data to avoid peak loads and supply bottlenecks, effectively reducing overall energy costs.
Detects machine failures and wear at an early stage by recognizing deviations from the normal production state.
Additional features
Merge technical domain expertise with artificial intelligence for high-accuracy industrial monitoring.
Notify operators about failures or quality drops in time to prevent negative financial consequences.
Utilize data-driven insights to improve the efficiency and output of existing manufacturing lines.
Support flexible and cost-efficient production of diverse product variants through a subscription-based model.
Allow equipment manufacturers to expand their service offerings with integrated AI products.
Provide a digitalization solution for manufacturers to optimize production and reduce operational costs.
Use algorithms to automatically sense when production parameters shift away from the established normal state.
Prevent the loss of product quality by detecting anomalies in the manufacturing process early.
Pricing
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About Scraitec
Scraitec by Resolto Informatik by Resolto Informatik is an advanced Internet of Things platform focused on condition monitoring, predictive maintenance, and industrial analytics.
Scraitec Details
Scraitec's In-App Market Place
Does Scraitec have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (CHF), CNY (¥), SEK (kr), NZD ($), KRW (₩), RUB (₽)
Pros & Cons
- Empowers OEMs to generate new revenue streams through innovative AI-based service business models.
- Leverages existing manufacturing data, requiring no massive overhaul of current data collection infrastructure.
- Secures consistent product standards by proactively detecting factors that lead to quality loss.
- Minimizes operational expenses by optimizing energy consumption and avoiding expensive peak load bottlenecks.
- Prevents costly unplanned downtime by identifying equipment wear and potential failures before they happen.
- Reliance on a cloud-based SaaS model may raise data sovereignty concerns for some sensitive industrial sectors.
- The predictive nature of the software requires a period of baseline data collection to define "normal."
- Initial integration with older legacy manufacturing plants could present technical compatibility challenges.
- Implementation may require significant technical expertise to align domain knowledge with machine learning models.
- Effectiveness depends heavily on the quality and consistency of the existing data being collected.
Scraitec's Support Options
Email Address
contact@resolto.comContact
+49 5221 101 1800Scraitec's Alternatives
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