LLM validation was manual and slow. Now, automated agents grade 20M+ daily requests at 300ms latency via Google Cloud and NVIDIA.
A Series B startup provides an evaluation platform for large language models, serving 5,000 concurrent users and processing over 20 million daily requests across global markets.
Large language models are inherently non-deterministic, requiring rigorous and time-consuming experimentation to ensure they meet safety and accuracy...
“When companies use LLM-based apps to assist customers, it's important that those apps perform as expected. Hallucinations, errors, and vulnerabilities can erode trust quickly. Google Cloud helps Galileo ensure that our customers' AI applications are reliable.”
AI observability and evaluation platform for LLM monitoring and guardrails.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Building an agent took 50 people weeks of work. A bank now designs and tests the same tool in just four days.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Model latency bottlenecked AI test generation. Faster inference now runs thousands of concurrent jobs, building tests in real time.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Engineers spent weeks manually configuring infrastructure. Now, they deploy pre-optimized models in minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
LLM validation was manual and slow. Now, automated agents grade 20M+ daily requests at 300ms latency via Google Cloud and NVIDIA.
A Series B startup provides an evaluation platform for large language models, serving 5,000 concurrent users and processing over 20 million daily requests across global markets.
Large language models are inherently non-deterministic, requiring rigorous and time-consuming experimentation to ensure they meet safety and accuracy...
“When companies use LLM-based apps to assist customers, it's important that those apps perform as expected. Hallucinations, errors, and vulnerabilities can erode trust quickly. Google Cloud helps Galileo ensure that our customers' AI applications are reliable.”
AI observability and evaluation platform for LLM monitoring and guardrails.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Building an agent took 50 people weeks of work. A bank now designs and tests the same tool in just four days.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Model latency bottlenecked AI test generation. Faster inference now runs thousands of concurrent jobs, building tests in real time.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Engineers spent weeks manually configuring infrastructure. Now, they deploy pre-optimized models in minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.