Yuki
Snowflake Cost Optimization Platform
Company Overview
Snapshot
Founded in October 2023 by Ido Arieli Noga and Amir Peres, Yuki operates with 11–50 employees. The company has raised $6M across one funding round from 4 investors. In January 2026, Yuki secured seed funding, with Hyperwise Ventures participating as a lead investor.
Business overview
Yuki is a data cloud optimization platform designed for teams utilizing Snowflake at scale. Its core technology analyzes query and warehouse metadata to automate the right-sizing of compute resources, route workloads efficiently, and enforce cost guardrails without requiring code changes or dashboard modifications. The platform serves data engineering, FinOps, and BI teams, enabling them to forecast spend, prevent excessive costs, and maintain stable performance during peak usage. Yuki can be deployed as a Snowflake Native App or within a company's own cloud environment, aiming to deliver measurable savings rapidly.
Strategic signal
In January 2026, Yuki announced its seed funding round, highlighting the startup's focus on providing a control system for data in the AI era. This signals a growing market need for specialized tools that help enterprises manage and optimize their data cloud infrastructure, particularly for platforms like Snowflake, as data complexity and associated costs continue to rise.
Company Intelligence Q&A
- When was Yuki founded?
- Yuki was founded in October 2023.
- Who are the founders of Yuki?
- Yuki was founded by Ido Arieli Noga and Amir Peres.
- What is Yuki's primary focus?
- Yuki focuses on data cloud optimization for teams using Snowflake, aiming to manage and reduce costs by analyzing query and warehouse metadata.
- What significant funding did Yuki receive?
- In January 2026, Yuki raised $6M in a Seed funding round. Hyperwise Ventures was a lead investor in this round.
- What problem does Yuki aim to solve for enterprises?
- Yuki aims to address the lack of a true control system for data in the AI era, helping organizations understand and optimize their data usage without exposing sensitive customer information.