TEKStack AI draws its strength from how it accommodates an end-to-end application development lifecycle, with a focus on DevOps, data engineering, data ingestion and pre-processing, smart data lake design, and lightweight machine learning (ML) pipelines.
TEKStack AI is built from the ground-up to support your data-driven applications. Save time and money by using a cloud-native platform for your next project. TEKStack AI can be used for your new project or expand your current offerings. Use the platform to support your full data journey, from inception to insights, to successful customer engagements.
TEKStack AI is built on the foundation of Kubernetes to make your business in the cloud faster, more secure, and scalable. TEKStack AI saves you money by delivering your application to the end user faster. Our DevOps features support your enterprise applications by monitoring and reacting to your applications needs in real time. With TEKStack AI, continuous integration and continuous delivery, we can integrate and automate pipelines.
Our TEKStack AI platform draws its strength from the people that support it. Our human expertise creates applications that best leverage your data while drawing on ML technologies – this approach puts your applications ahead of what the very best have to offer. The platform accommodates an end-to-end ML lifecycle, with a particular focus on data engineering, data ingestion and pre-processing, smart data lake design, and lightweight ML pipelines. Our data journey expertise allows us to automate elements of the ML pipeline in ways that make it easier to create assets, which in turn allows us to address a greater range of customer challenges.
TEKStack AI applies natural language processing (NLP) technologies to our enterprise search solutions, with the goal of creating faster and improved database search. This allows for context-dependent search results, more informed insights, and faster business decision-making. We first process information from the databases we ingest into our platform, then tag information based on their type (name entity recognition). We then leverage this information to produce enterprise search solutions that are easier to use, and more informative than traditional full-text search options.
TEKStack AI uses a scalable, multi-model data lake that supports any and every database best suited for the data type ingested into our platform. These databases are consolidated in a way that centralizes and simplifies data security and governance, and defines the source of truth for the datasets. The data lake is “smart”, in that it contains metadata that describes itself, which can be efficiently queried using a built-in data catalog. The data catalog allows users a greater ability to identify their data of interest across a number of different databases quickly, without the need to enlist help from a database expert.
