Google

an alliance to advance trustworthy AI

Vijil Evaluate verifies the trustworthiness of your AI agents, so that you can deploy them on Google Cloud without delay.

As part of GoogleCloud’s AI agent ecosystem, Vijil accelerates deployment with trust

Vijil Evaluate Launches on Google Cloud Marketplace | Test & Deploy Trustworthy AI Agents Faster - YouTube

Vijil Evaluate Launches on Google Cloud Marketplace | Test & Deploy Trustworthy AI Agents Faster

Vijil | Trustworthy Agents26 subscribers

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Vijil Evaluate reduces risk, while shortening time to market

AI developers under pressure to deploy an AI agent quickly can use Vijil Evaluate to rapidly test its reliability, security, and safety before deploying it on Google Cloud.

Any LLM Evaluation

Select from dozens of curated benchmarks or bring your own benchmark to test agent performance, reliability, security, and safety.

100x faster

Compared to other evaluation frameworks that take days, get results in minutes with a simple API call.

Built for enterprises in regulated industries

Vijil Evaluate constructs custom tests based on use case, organizational policies, and industry regulations to ensure compliance. Give your CIO and CISO the assurance that your AI agent was tested thoroughly to minimize unknown risks.

Comprehensive

Employs 200,000+ diverse prompts carefully curated to support compliance with industry standards to produce the Vijil Trust Score™, ensuring that you can evaluate your LLM application reliability, security, and safety with rigor and consistency.

Fast

Over 10x faster than standard benchmarks on open-source engines, dramatically reduces the time for evaluation, making it easy to incorporate comprehensive testing into your LLM application development and deployment processes.

Cost-Effective

Designed to help AI teams automate the QA of LLM-based applications and cut out hundreds of hours of undifferentiated heavy lifting that go into the QA, AppSec, and GRC reviews, saving 50% of testing time and costs.

Customizable to Your Business

Creates test cases specific to your business context by synthesizing prompts based on samples of your LLM application logs, so you have fresh tests that are always directly relevant.