Our long-standing partnership with Snowflake - The Modern Cloud Warehouse

Snowflake's AI Data Cloud is powered by an advanced data platform that enables data storage, processing, and analytic solutions that are fast, easy to use, and scalable enough to support our customers at any stage of growth. Its innovative architecture makes all the functionality of an enterprise analytic database, along with many additional special features and unique capabilities like Artificial Intelligence, available to our customers around the globe.

A Team of Proven Consultants

With a global team of certified Snowflake experts, we will help you extract, load, transform, and model your data, so it can be used consistently by your employees to drive faster and more accurate decision making. As a trusted service partner, our highly skilled consultants will help you implement and optimize data modernization solutions, like Artificial Intelligence (AI) and machine learning (ML), to meet current and competitive business needs. We commit to helping you deliver exceptional results from your data.

We're committed to harnessing the full power of Snowflake to unlock the potential of your data, propelling your business forward.

Our accelerators towards Artificial Intelligence

Vivanti have solution patterns to get the most out of Snowflake’s Document AI and Cortex. Our pattern applies a custom LLM metadata tagging pattern to extend your data warehouse to your documents. Vivanti create AI Apps that Utilise Your Knowledge. Our patterns stitch together Snowflake AI services to deliver value and create new AI apps that make your knowledge convenient.

Our Services - What we do

Snowflake Well Architected Review

Explore a comprehensive evaluation of your Snowflake environment, ensuring optimal performance, security, and cost-effectiveness through detailed architecture insights.

Data Warehouse Migrations

Facilitate a smooth transition of your data warehouses to more scalable and efficient systems, tailored to boost operational agility and data handling capabilities.

Customer Analytics 360

Enhance your customer insights with our 360-degree analytics approach, leveraging advanced data integration, analysis, and channel integrations to drive remarkable customer experiences.

Cortex and Machine Learning on Snowflake

Accelerate your GenAI & ML journey with customised solutions on Cortex and Snowflake ML.

Enterprise Data Modelling

Accelerate your warehouse build with our proprietary modelling approach - we've found it to be more efficient whilst providing greater reliability in analytic outcomes.

Document AI Accelerator

Our AI accelerators process documents of various formats and extracts information into prepared pipelines for continuous processing of documents such as invoices or finance statements to deliver real business value.

Fresh from the Academy - Insights from our Team

Experiencing GDG Sydney x Google I/O Extended: A Deep Dive into Innovation

Published: July 5, 2024
Author: Joie Cao
Consultant

Last Saturday, on a sun-soaked morning, my colleagues and I attended the GDG Sydney x Google I/O Extended event. We met a diverse group of people from various fields and regions, enjoying the chance to network and reconnect with familiar organisers. For those who couldn’t make it to the event, we’ve penned this article to share our experiences and key takeaways. Whether you're a developer, IT professional, or simply curious about the latest tech trends, read on to discover what GDG Sydney x Google I/O Extended was all about and what exciting innovations were unveiled.

Published: July 5, 2024
Author: Yustyna Klish
Consultant

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a groundbreaking approach to enhancing the capabilities of language models. By integrating information retrieval with advanced generation techniques, RAG systems can provide more accurate, contextually relevant, and informative responses. This article provides a high-level overview of RAG, delving into its architectural principles, the role of word embeddings and vector stores, and the process of preparing and managing data.

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Our offices

Sydney
Level 7, 117 York Street
Sydney, NSW 2000
Melbourne
Level 27, 101 Collins St
Melbourne, VIC 3000
Brisbane
Level 23, 300 Queen St
Brisbane, QLD 4000
New York
132 West 31st St, 9th Floor
New York, NY 10001
Washington, DC
1900 Reston Metro Plaza
Reston, VA 20190
London
United Kingdom
1 St Katharines Way, E1W 1UN