Keeni, pronounced 'keen eye', is a collaboration by rocket engineers, aerospace technicians, and software geeks to help teams stay in sync during critical process flows. It enhances team productivity and decreases risk by streamlining paper or manual workflows into digital processes. Running critical workflows without a modern solution leaves teams vulnerable to miscommunication and susceptible human errors.
The software platform was developed for enterprises requiring electronic process management for rocket launches and space vehicles, where time is a premium and safety is vital. The platform combines years of lessons learned from the field, with stringent regulatory conditions and processes, to produce an intuitive solution for managing organizational workflow. It allows teams to transform their operating procedures for space and beyond.
The Keeni team is located in Alaska because Alaska is a place where people and technology shape the land, and the land shapes the people and technology. Alaska is home to two unique launch facilities and rocket ranges. While the platform was originally built for rocket companies in the aerospace industry, the architecture and interface of the platform make it deployable by other complex industries including healthcare, manufacturing, government, and utilities.
Transform your operating procedures into modern, digital workflows.
Based on our record, Google Cloud APIs seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Like Maps APIs, GCP APIs require billing to be enabled on your project. They are "pay-per-use," meaning you pay for what you use. Fortunately as described earlier, the Natural Language API has a free tier with which we can play around with it here. One of the features of the API is the ability to perform sentiment analysis on a piece of text. The API leverages its pre-trained machine learning (ML) model to infer... - Source: dev.to / 7 months ago
You’ll have to set up the sheets api in Google Cloud. https://cloud.google.com/apis/. Source: about 2 years ago
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