“Shakudo is well positioned to ride every new technology wave - you’re betting on a great racetrack, rather than betting on one specific horse”. Hear from Ethan Brooke why joining the Shakudo team is ideal for those passionate about driving the future of tech.
Shakudo
Software Development
Toronto, ON 14,335 followers
The Data and AI Operating System on Your Infrastructure.
About us
Shakudo creates compatibility across the best-of-breed data tools for a more reliable, performant, and cost effective data and AI operating system. As the operating layer on top of your cloud Shakudo allows you to pick the best-of-breed data tools for your needs, while providing a platform with fully automated DevOps experience. This combines the best of both worlds in data stack practices so you can focus on delivering business value with data.
- Website
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https://www.shakudo.io/
External link for Shakudo
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Toronto, ON
- Type
- Privately Held
- Founded
- 2021
Products
![Click here to view Shakudo Platform]()
Shakudo Platform
Data Science & Machine Learning Platforms
Shakudo is the operating system for the data stack. The platform integrates best-of-breed data and AI tooling into a single, fully integrated environment, hosted in an organization's VPC, or infrastructure. Data teams using Shakudo save time in integrating, maintaining, and evolving the data stack, while taking a data product from ideation to production.
Locations
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Primary
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Toronto, ON, CA
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Calgary, AB, CA
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Minneapolis, MN, US
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Montréal, QC, CA
Employees at Shakudo
Updates
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Tech moves fast, and every new data engineer brings fresh ideas but also the urge to revamp old systems. This often means hitting the reset button, which can be costly. So, how do we keep innovating without starting from scratch every time? It’s all about having a solid data and AI platform, that lets us build on what we already have, keeping AI projects moving smoothly even as we welcome new minds. CTOs, let’s create spaces where innovation builds on – not breaks down – our past work.
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Are you looking to build GenAI into your real estate operations? 🏗️ Adapting to the evolving data and AI stack, when building in-house, can be as challenging as replacing the foundations of a building. Choose the data and AI OS that ensures you are AI future-proof. Read more in our latest blog: https://lnkd.in/eEesFj9B
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DevOps costs might seem like a standard part of the payroll expenses. But they're a premium investment. 💵 Building custom AI infrastructure can easily take 12-24 months of intense engineering effort. That's two to three DevOps engineers working full-time. CTOs: Removing the DevOps burden from your data / AI projects does more than just smooth things over with your CFO. It's also critical for getting those AI projects past the PoC stage.
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Meta's LLAMA 3 is dominating open-source AI with its top-tier control, customizability, and cost efficiency. Why use LLAMA 3 with a Data and AI OS? 👉 Achieve time to value similar to GPT 👉 No DevOps or engineering work required 👉 Retain full control over your data 👉 Easily swap for future model upgrades For more insights, check out our new guide 📖 https://lnkd.in/egvb6fYz
The Business Case for LLAMA 3 in Modern Data & AI Workflows | Shakudo
shakudo.io
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Agentic workflows are changing the game for IT teams. 🤖 But they also come with some security concerns. Companies have faced a tough choice: either expose their data to the cloud or invest heavily in building AI-driven workflows in-house. Now, there's a new contender. Agentic workflow automation tools can be deployed in your VPC using data and AI OS. A win-win.
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🌟 We are pleased to be part of the Milvus Lite launch! Our collaboration with Milvus simplifies the creation of top-tier GenAI applications. This integration is a testament to our dedication to innovation in AI. Join us as we lead the way in AI advancements. Learn how you can manage your internal knowledge base at scale with Milvus on Shakudo. https://lnkd.in/dTQfDF8i
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There is no way around the hard truth: AI / Data stack bets you make today are likely to be wrong in the future. That’s because the right bets simply don’t exist yet. But they might in 6 months, or 2 years. CTOs: Don’t gamble on the future. Invest in a Data & AI platform that enables you to adapt while minimizing the DevOps burden.
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Considering a Natural Language to SQL Tool? These questions can help guide you through the selection process, while considering a point solution vs. Data & AI OS: 👉 Can the tool adapt to your unique data architecture? 👉 Do you have the resources to manage setup and maintenance? 👉 Can the tool be easily customized? 👉 How well can the tool scale with your business growth? 👉 Does it meet your required standards for security and compliance? Make sure your next tech investment is the right one.
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