
Yuki Technologies Ltd.
Tenable
TENB
NVIDIA
NVDA
Snowflake
SNOW
Hyperwise
NetApp
NTAP
Fresh Fund
VelocitX
TAL Ventures
Uncontrolled AI data spend is becoming a board‑level concern; Yuki’s performance‑based model directly tackles cost overruns while enabling faster AI experimentation. Its success could set a new standard for data‑infrastructure governance in the cloud era.
Enterprises are grappling with soaring AI data expenses as models consume petabytes of storage and demand high‑performance compute. Traditional cloud billing tools focus on compute alone, leaving the data layer—a major cost driver—largely unmanaged. This gap has turned data spend into a strategic risk, prompting executives to seek solutions that can balance performance with budget constraints while preserving the agility needed for rapid AI iteration.
Yuki addresses this challenge with its Yuki Fabric, a unified control plane that sits atop existing data platforms. By continuously monitoring workload behavior, service‑level agreements, and cost‑performance trade‑offs, the system intelligently routes queries to the most efficient resources across Snowflake, Google BigQuery, and Apache Iceberg‑based lakes. The platform requires no code changes, enabling quick deployment and immediate visibility into data‑related spend, while distinguishing critical business tasks from low‑priority processes.
The startup’s novel pricing model—charging only a percentage of verified savings—aligns its incentives with customer outcomes and reduces adoption friction. Early customers report average cost cuts of 42%, translating into multi‑million‑dollar monthly savings for large firms. Backed by a $6 million seed round and a team expanding beyond its Israeli R&D hub, Yuki is positioned to become a cornerstone of AI‑driven enterprises seeking sustainable, data‑centric cost governance.
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