Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.
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We built a fascinating platform, https://iko.ai, that allows you to train, track, package, deploy, and monitor machine learning models with real-time collaborative notebooks on your own Kubernetes clusters. Source: almost 2 years ago
Hi, Edwin. I'm in the process of integrating Stripe to https://iko.ai. I recently discovered Portal (https://stripe.com/docs/billing/subscriptions/integrating-customer-portal) and I thank you for that. Less code for me. I'm a bit ashamed to say, but I'm having trouble with checking if the customer has a valid subscription. I'm currently only storing the customer_id in the database and retrieving the information... - Source: Hacker News / almost 2 years ago
That was one the reasons we do "bring your own compute" with https://iko.ai so people who already have a billing account on AWS, GCP, Azure, DigitalOcean, can just get the config for their Kubernetes clusters and link them to iko.ai and their machine learning workloads will run on whichever cluster they select. If you get a good deal from one cloud provider, you can get started quickly. It's useful even for... - Source: Hacker News / almost 2 years ago
We built an internal platform to streamline this that allows us to train, package, deploy, and monitor models (very shameless plug for our product https://iko.ai that we started because I was tired of watching colleagues look from the window to see if their train was here because they had to come to the office to train their model on the "powerful machine" and they spent 6 hours in commute every day and at some... Source: about 2 years ago
We built https://iko.ai which offers real-time collaborative notebooks to train, track, package, deploy, and monitor machine learning models. Source: over 2 years ago
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