The AI Cloud is a unique, AI-focused data infrastructure that accepts and efficiently stores a broad array of unstructured, semi-structured, fully structured and high volume real-time data. The AI Cloud auto-detects the data schema with zero configuration and seamlessly adapts the schema as the data changes/evolves over time. Your days of spending valuable resources constantly modifying your company’s data structure are over.
Over 80% of data scientists’ time is spent in the time-consuming, low-leverage, spirit-sapping endeavor of writing scripts and code to perform data transformations and to build models. We’ve made that tedious scripting a thing of the past. The AI Studio allows models to be built, tested and iterated automatically by creating formulas in our intuitive user interface. Underneath the surface, our system uses the world’s first “AI compiler” to autogenerate all of the code to create the data transformation, generate model features and create the AI models themselves. Our powerful change management controls enable performance monitoring, and our collaboration capabilities allow model features to be shared across your team.
With the click of a button, the AI Runtime automatically generates a production-ready version of your AI model that can be used to make predictions in batch mode or realtime, via our API. You no longer need data engineers to re-implement data and machine learning architecture originally created in the data science lab. The AI Runtime takes care of all of that for you.
We offer each of our customers a package of the following services that is tailored to their business needs:
We provide usage-based access to our AI platform, including GUI for model creation, production-ready APIs, and charting tools that can be used on a standalone basis or can be integrated into existing dashboards. Machinify can operate in our own multi-tenant cloud environment or can be installed on your own virtual private cloud.
Our data science experts are available to help you solve actual problems in your business. The Build-Operate-Transfer model reduces risk and accelerates time to market, while giving you full control at the end of the process.
In some instances - where the data structures or modeling are especially complex, or there are embedded software or model deployments - we offer highly skilled data engineers to ensure a fast and effective deployment.
Allows Machinify to dynamically understand the schema of incoming data and seamlessly evolve the schema to keep up with changes to the structure of the data in real-time. All while providing a structured “relational” view of the data.
AI-enabled adaptive storage engine tunes itself to the incoming data structures for optimal performance. Utilizes columnar storage with smart per-column choice of compression for high-speed queries. Achieves a 30-1 compression ratio.
Enables interactive queries, data transformation, and fast modeling all on a turnkey, managed multi-user cluster.
Enables defining all the semantic concepts of interest, thereby creating a unified library of entities and their features to use as inputs in building AI models and as outputs to drive decisions.
Automates the process of turning data abstractions into production code, eliminating the need to write data manipulation code for the purposes of building models, as well as the need to re-implement the code and create custom data infrastructure for model deployment.
Brings the power of AI to the domain expert by automating the process of building an AI model given a target metric to predict.