Uptake Fusion

Unlock the value of your industrial data.

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Overview

Uptake Fusion is a comprehensive industrial data analytics hub that provides a fast and efficient way to access and analyze granular industrial operations data from multiple sources. It automates the process of data collection, cleansing, and contextualization, making it easier for data scientists and engineers to build and deploy advanced analytics and AI models.

✨ Key Features

  • Automated data ingestion and contextualization
  • Integration with various OT and IT systems
  • Open and flexible data access
  • Support for self-service analytics with tools like Power BI
  • Cloud-native and scalable architecture

🎯 Key Differentiators

  • Focus on automating the 'first mile' of industrial data analytics
  • Open and flexible architecture
  • Strong partnerships with major cloud providers

Unique Value: Accelerates the time to value for industrial AI and analytics by automating the complex and time-consuming process of data preparation and contextualization.

🎯 Use Cases (4)

Predictive maintenance Asset performance management Process optimization Industrial AI and machine learning

✅ Best For

  • Improving asset reliability in the energy sector
  • Optimizing maintenance schedules in manufacturing

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Companies without significant investments in industrial data infrastructure

🏆 Alternatives

C3 AI Palantir Foundry Falkonry

Offers a more open and flexible approach to industrial data management compared to end-to-end platforms, allowing companies to use their preferred analytics tools.

💻 Platforms

Web API Cloud

🔌 Integrations

Microsoft Azure Data Explorer Snowflake OSIsoft PI Power BI Azure Synapse

🛟 Support Options

  • ✓ Email Support
  • ✓ Phone Support
  • ✓ Dedicated Support (Varies by plan tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ ISO 27001 ✓ SSO ✓ ISO 27001 ✓ SOC 2

💰 Pricing

Contact for pricing

Free tier: NA

📊 Market Info

Customers: NA

Total Funding: $282.0M

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