Yuki emerges from stealth to solve Snowflake cost challenges
Nathan Shuchami, Managing Partner at Hyperwise Ventures, has been a board Observer at Yuki since April 2025. Indicating that the company has been working with the founders for several months before this announcement. It will be interesting to see whether he now joins the board following the funding round.
Hyperwise Ventures commented on a LinkedIn post, “Excited to share that we led Yuki’s $6M seed round, announced today alongside the company’s official launch. In an era where AI data costs are becoming a strategic challenge for enterprises, Yuki brings something the market has been missing: a workload-aware control layer that governs data infrastructure in real time.
“Yuki’s approach is refreshingly aligned with customer outcomes: they only get paid when they deliver savings. Their platform already delivers an average 42% reduction in data costs for customers, including Tenable and Qwilt. We’re excited to partner with Ido Arieli Noga and Amir Peres as they build the control layer for enterprise data infrastructure.”
The Yuki platform has been designed to help organisations improve the efficiency of data platforms such as Snowflake, Databricks and others. At launch, the first data platform that it works with is Snowflake. The Yuki platform, known as Yuki Fabric, uses advanced machine learning to automate data warehouse management without compromise.
Yuki estimates that its solution can prevent overprovisioning, maintain steady performance, and deliver 30-60% cost savings. It achieves this without changes to queries or workflows. Though it is unclear whether it will develop functionality to optimise these in the future.
It achieves this by first mapping workloads within the data warehouse, identifying queries and usage patterns. The platform then optimises warehouse compute usage, matching demand to computer usage as demand falls or scales automatically.
Users can configure the Yuki Fabric to set specific SLAs, budgets, and performance guidelines. Thus, delivering flexibility and cost optimisation unavailable through standard data warehouse settings. Yuki Fabric can operate across an organisation’s data infrastructure. And currently supports Snowflake, Google BigQuery, and native support for Iceberg-based data lakes.
It means that the Yuki is positioning itself as a control layer for modern data architectures that many organisations are investing in, and sometimes overinvesting in.
Yakir Daniel, Co-founder of Spot.io (acquired by NetApp and now part of Flexera) and an investor in the seed round, commented, “After building Spot, it was easy for me to recognize the pain point Yuki is solving. They’re building the control layer for data cost optimization just as AI is turning data spend into a board-level issue.”
The Yuki Fabric uses a model that also continuously learns. As the workload evolves, it can improve and optimise costs based on SLAs and a managed cost-performance trade-off. Yuki also claims that the fabric works across vendors, reducing process duplication, improving performance, and lowering overall data management costs.
Yuki Fabric provides the intelligence layer as enterprises adopt Apache Iceberg to help manage their data as a unified table and to decouple storage and compute, enabling cost-effective data lake storage.
Ido Arieli Noga, CEO of Yuki, commented, “Data is the only resource in an organization that no one truly manages. We know how to store it, but not how to govern it.
“There are budgets, cloud infrastructure, and teams, but the data itself has no control system. For years, the default response to growth was to burn more money on the same one-size-fits-all infrastructure. That model is fundamentally broken, and it doesn’t scale in an AI-driven world.
“Yuki was built to become the control layer that makes data infrastructure workload-aware and governed in real time. In the age of AI, this becomes even more critical. Teams are constantly running experiments, models, and new workloads. And many organizations are discovering they’re paying enormous sums for data and compute resources that no one is using anymore, simply because no one took the time to manage and clean them up.”
Yuki was founded to deliver cost reduction by bringing workload awareness to data infrastructure through an intelligent control layer. In 2025, customers using the Yuki platform have saved an average of 42.6% on their data costs, potentially millions for some enterprises.
Customers include Cybersecurity companies such as Tenable and data-heavy companies like Angel Studios, which choose Yuki to help better manage their Snowflake costs. Following a brief implementation, Yuki had optimised Tenables’ data management within an hour. It consolidated its workload using the load balancer and increased warehouse utilisation by 26%, bringing it to 100%.
In addition, it redistributed Smart queries: 40% from Medium to X-Small warehouses and 50% from Small to X-Small warehouses. Tenable achieved a 33% cost savings and freed up 10 hours of engineering time per week. Guy Bratman, Senior Director, Platform Engineering at Tenable, commented, “The integration was effortless, and the impact was immediate. Yuki allows us to focus on security while it handles our data efficiency.”
The Cloud Management Platforms and Tools Market was valued at 10.63 billion in 2025 and is projected to grow at a CAGR of 11.93% from 2026 to 2033. Reaching an estimated 26.19 billion by 2033, according to InsightStrive MRI. According to GMI Insights, there are over 200 vendors in the space, and with data volumes continuing to grow, managing their costs is critically important.
Organisations must better manage the challenges of fluctuating workloads, high query volumes, and dynamic compute costs, especially as they scale AI projects. Yuki aims to solve these challenges. The founders felt there was a market gap.
However, there is a lot of work to be done. Yuki is not listed on the Snowflake Marketplace, and it will need to change soon, as cost-optimisation competitors already have listings there. Yuki has selected an outcome-based business model. It charges a fee as a percentage of the savings generated.
If no savings are created, the customer is not charged. There are challenges with outcome-based pricing models, particularly in how subsequent years are calculated. It will be interesting to see how Yuki evaluates savings in future years. Especially if customers modify Snowflake settings in response to Yuki management changes to reduce cost savings.
The firm already employs 15 people, the majority of whom are based in Israel, but it also has people based in the UK and the US. The funding will enable further growth, expanding the R&D centre in Israel to deepen product capabilities and support additional data platforms.
It also intends to expand its US Sales presence to capture a greater share of that market. The firm currently does not have a careers page, nor any job listings on LinkedIn. That is likely to change in the near future.
While this is a seed funding round, it almost feels like a Series A in terms of the progress Yuki has already made. It already has case studies from satisfied customers, and while an emerging startup seems to have its product fit well established.
The challenge will be to get listed on Snowflake and other marketplaces as it expands its capabilities. It will need to forge technology partnerships and expand its Sales teams to capture a greater market share in a potentially large market.
It has other work to do, notably expanding its website and marketing efforts. It will be interesting to see how it expands and what product updates it announces during 2026.
The post Yuki emerges from stealth to solve Snowflake cost challenges appeared first on Enterprise Times.
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