
High-Performance Data Engineering. Total Sovereignty.
TIMi delivers the power of a complete cloud data stack—on-premises, fully sovereign, and ridiculously fast.
We reject artificial vendor lock-in and hidden costs. Instead, we offer absolute peace of mind through engineering excellence, giving your team the freedom to experiment, innovate, and solve complex AI, analytics, and automation challenges in record time.
Why Top Enterprises Choose TIMi?
Enterprise Integration & *No-Code* ETL/Data preparation: Automate complex workflows and seamlessly link your entire stack: SAP, Salesforce, SharePoint, S3, Azure Storage, PowerBI, Tableau, etc.
Unmatched Infrastructure Efficiency: Our competitors such as Databricks, Dataiku, and MS Fabric all rely on Spark—and that makes them inherently inefficient since a single €2k TIMi server outperforms a 267-node Spark cluster. TIMi process billions of rows in seconds and manage petabyte-scale data lakes at a fraction of the cost.
Proven AI Leadership: Harness pioneering machine learning from the creators of the first Auto-ML engine (est. 2007).
Whether deployed on-premises or via our EU-Hosted Sovereign Cloud, TIMi empowers leaders in Banking, Telecoms, Manufacturing, Retail, Defense and Government.
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Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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Qrvey
About Qrvey
Qrvey pioneered multi-tenant self-service analytics for SaaS companies and now leads the evolution toward AI-driven, autonomous analytics. With over 20 years of experience, we provide industry-leading guidance and support, ensuring our clients achieve their analytics goals. Our deep understanding of multi-tenant SaaS architecture and comprehensive services make us the partner of choice for SaaS leaders.
About Qrvey Platform
Qrvey is the embedded analytics platform designed specifically for SaaS companies. Qrvey offers insight, agility and growth.
Insight for your customers
· True self-service with unlimited customization
· AI-driven insights
· No-code workflow automation
Agility for your product team
· End-to-end embedded analytics platform
· Native multi-tenant security
· Flexible multi-cloud deployments
Growth for your business
· Flat-rate pricing for scale
· Unmatched monetization opportunities
· Embedded services
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Wyn Enterprise
Wyn is a seamless embedded business intelligence platform. Designed for self-service BI, Wyn's offers limitless visual data exploration, allowing the everyday user to become data-driven.
Wyn Enterprise Features:
• Embedded BI
Seamlessly embed analytics within your own applications. Integrate dashboards into your business applications with API and iFrame capabilities.
• End-user BI Reports
Leverage Wyn's powerful and fast reporting engine to develop complex BI reports.
• Interactive BI Dashboards
Analyze data and deliver actionable information with interactive dashboards, multi-dimensional dynamic analysis, and intelligent drilling.
• Easy-to-use Designers
Drag-and-drop controls enable non-technical end-users to visualize, analyze, and distribute permitted data easily.
• Self-service BI
Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards.
• Built-in Multi-tenant Support
Enhance your SaaS-based business applications with a BI platform that natively supports multi-tenancy. Manage your BI resources and data across all your customers from a single environment.
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