
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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MyHub, a revolutionary cloud-based intranet system that streamlines workflows for businesses, provides a variety of manuals and tools. MyHub is mobile-friendly and allows users to connect with whole teams or just a few members. Projects will run smoothly with MyHub's combination of in-app options for email, social media, as well as the tools necessary to be efficient. Administrators can give their users the ability of managing content, a discussion board, file-cloud-sharing, and many other features.
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Walmart Spark
Operating in over 600 cities, Spark Driver allows service providers to earn income by shopping for and delivering customer orders from Walmart and various retailers. The process is straightforward: customers place their orders online, which are then assigned to service providers via the Spark Driver App, and providers can choose to fulfill the deliveries! This model emphasizes flexibility and convenience, requiring nothing more than a vehicle and a smartphone. To explore the service area and begin the signup process, simply visit the Join Spark Driver section on their website, where you can choose your desired location and fill out the enrollment form. After submitting your information, you will receive a confirmation email from Delivery Drivers, Inc. (DDI), the third-party administrator, containing instructions on how to finalize your enrollment and set up your Spark Driver account. Typically, background check results can be expected within 2-7 business days, varying based on local regulations and procedures. It's an excellent opportunity for anyone looking to earn extra income on their own terms!
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GPT‑5.3‑Codex‑Spark
GPT-5.3-Codex-Spark is OpenAI’s first model purpose-built for real-time coding within the Codex ecosystem. Engineered for ultra-low latency, it can generate more than 1000 tokens per second when running on Cerebras’ Wafer Scale Engine hardware. Unlike larger frontier models designed for long-running autonomous tasks, Codex-Spark specializes in rapid iteration, targeted edits, and immediate feedback loops. Developers can interrupt, redirect, and refine outputs interactively, making it ideal for collaborative coding sessions. The model features a 128k context window and is currently text-only during its research preview phase. End-to-end latency improvements—including WebSocket streaming and inference stack optimizations—reduce time-to-first-token by 50% and overall roundtrip overhead by up to 80%. Codex-Spark performs strongly on benchmarks such as SWE-Bench Pro and Terminal-Bench 2.0 while completing tasks significantly faster than its larger counterpart. It is available to ChatGPT Pro users in the Codex app, CLI, and VS Code extension with separate rate limits during preview. The model maintains OpenAI’s standard safety training and evaluation protocols. Codex-Spark represents the beginning of a dual-mode Codex future that blends real-time interaction with long-horizon reasoning capabilities.
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