The Optimization Layer for Modern Data Platforms in the AI Era

Yuki sits between your apps, AI agents, and Snowflake or BigQuery. Every query gets routed to the right compute in real time, so you stay fast and stay on budget. No code changes. Costs drop from day one.

Data Cost Management Requires a New Approach

Autonomous Contextual Execution Layer for Data Platforms

Yuki combines three layers of context to make compute decisions: workload patterns, real-time platform state, and business priorities. Every query gets routed to the right compute, automatically. Across Snowflake, BigQuery, and beyond.

Snowflake Cost Optimization

Yuki acts as a load balancer across your entire Snowflake environment, consolidating workloads, eliminating idle compute, and routing queries dynamically in the background. Your team keeps building. Yuki handles the rest.

BigQuery Cost Optimization

Yuki routes each BigQuery job to the right billing compute on the fly – on-demand or reservation. Idle slots in your reservations get reclaimed automatically. You pay for what runs, not for what sits.

The Optimization Layer for the Agentic Era

Every agent query arrives without context: no SLA, no cost awareness, no sense of compute impact. Yuki enriches each query with context and routes it to the right compute before it runs. Whatever the platform, whatever the workload. Yuki gives agents infrastructure awareness.

Transformation Workloads

Yuki sits in the middle of your transformation stack and makes smarter compute decisions automatically. Whether it’s dbt, Airflow, or Matillion, Yuki detects job type and intensity, then dynamically routes them in real time. Light runs stay cheap. Heavy runs get what they need. Install in under a minute, optimize from the first run.

Enterprise Governance. Built In.

Yuki deploys privately in your cloud with role-based access, budget guardrails, and audit controls built in. Optimization stays automatic. Compliance stays intact. Your data never leaves your environment.

Onboard in 3 steps

Connect in minutes. Swap your connection string. No code changes, no pipeline rewiring. Under an hour from install to first savings.

Connect your Data Platform

Swap your connection string. That’s it. Yuki plugs in instantly with no code changes and no disruption.

Map your workloads

Yuki auto-detects your warehouses, queries, and usage patterns.

Start saving automatically

Yuki gets to work right away, optimizing warehouse usage and cutting waste across your entire environment.

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“Yuki removed a huge amount of friction. The 55% savings were immediate, but the bigger win was predictability. We can forecast BigQuery spend with confidence now, and reinvest that headroom into AI initiatives instead of constantly policing costs.”

Hannan Kravitz,

Head of Data Engineering and Science

“Yuki helped us turn our AI agent into something we could scale quickly with high cost efficiency. We protected the customer experience during spikes and stayed disciplined on spend, without adding operational overhead.”

Asaf Shamly,

Co-Founder & CEO

“When we plugged in Yuki, I honestly didn’t expect much. Within 24 hours, we saw a 63% drop in compute costs. It just worked.”

Ron Kitay,

Software & Data Engineer at Qwilt

“With Yuki, we cut our Snowflake costs by 33%, saved 10 hours of manual optimization. The integration was effortless, and the impact was immediate. Yuki allows us to focus on security while it handles our data efficiency”

Guy Bratman,

Senior Director of Engineering

“We immediately saw a 48% drop in Snowflake costs. That freed budget to explore new tools without increasing our spend.”

Crystal Lee,

VP of Data Science & Analytics

“Yuki just works, delivering savings and peace of mind for scaling our Snowflake environment. Even after optimizing everything internally, Yuki provided value we simply couldn’t unlock on our own, empowering us to confidently grow without overspending.”

Hanan Ben Shitrit,

Head of Data

“We cut our Snowflake costs by ~60% and got enterprise-grade load balancing features. Yuki’s automation ensures optimal query distribution across warehouses, maintaining performance while reducing costs.”

Alex Ahlstrom,

Snowflake Lead