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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Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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QX QuickReco
Relying on manual methods for bank reconciliation can be inefficient, especially when dealing with a large number of accounts across various banks. QX QuickReco simplifies this process by automatically importing data and facilitating the matching of transactions to enhance the efficiency of reconciliation. The platform aligns information from general ledger files with bank statement reports, performing automatic matches while also accommodating adjustments for any hidden transactions, like bank fees or charges. Users can conveniently set up and manage multiple accounts from the same financial institution or from different banks. Additionally, the system allows for the integration of newly established accounts, enabling the import of thousands of records from bank statements and bank books for seamless automatic reconciliation. It is also straightforward to enter adjustment entries for payments that do not correspond with invoices. Furthermore, entries can be categorized based on their matching status—whether they were auto-matched, manually matched, or adjusted—providing clarity and organization throughout the reconciliation process. This comprehensive solution ultimately enhances accuracy and saves valuable time for financial professionals.
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FloQast
FloQast provides a transformative accounting platform that uses AI to automate and streamline the financial close process. By integrating with existing tools, it enhances efficiency in reconciling accounts, preparing financial reports, and conducting audits. The AI agents help accounting teams by matching transactions and identifying inefficiencies, allowing accountants to transition from data preparation to strategic oversight. With real-time collaboration and tracking features, FloQast supports accounting teams in delivering faster, more accurate results with reduced operational complexity.
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