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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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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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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AI Sparks Studio
AI Sparks Studio is a user-friendly interface designed to help you efficiently utilize your own API access to state-of-the-art AI models. You can engage in expert discussions with LLMs like OpenAI’s ChatGPT or GPT-4, convert speech to text using the Whisper model, and transform discussions into lifelike speech audio with the ElevenLabs service.
Key Features:
1. Full Control and Transparency: You can manage the model’s context memory limitation and have clear insight into its usage, limit, and the estimated cost of generation.
2. Customization: You can specify which LLM to use for text generation and control every parameter the API provides.
3. Insight into AI Processing: AI Sparks Studio lets you inspect how each part of the discussion was created, the LLM snapshot used, and the parameter values.
4. Discussion Branching: You can branch out a discussion from any point to experiment with different AI models or settings.
5. Secure Data with Local Storage: All discussion files are stored locally, ensuring data security.
6. Monitor Your ElevenLabs Service Usage: Know how many characters a text-to-speech generation will use from your ElevenLabs monthly quota before issuing the request.
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