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Deploy Responsible Generative AI Apps Every Time

AIxamine is a responsible AI framework that evaluates where your Gen AI app stands against responsible AI principles.

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Why Is Responsible AI for Gen AI Such a Challenge?

The black-box nature of LLMs makes enforcing responsible AI principles difficult. Without measurable metrics for adherence, both compliance and your reputation are at risk.

Build Ethical, Transparent, and Trustworthy Gen AI Apps

AIxamine is a responsible AI framework for generative AI applications that improves accuracy and accelerates responsible innovation.

Quickly evaluate your Gen AI app across key metrics: bias, toxicity, relevancy, and hallucination so you know what areas need attention.

AIxamine’s intuitive dashboards and quality gates deliver the clarity and confidence you need to release responsible Gen AI apps.

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How AIxamine Works

Step 1

Discovery and Benchmarking

Assess current adherence to Responsible AI principles, identify gaps, and define KPIs tailored to your use case

Step 2

Evaluation and Integration

Test 100 sample prompts to set up quality gates, integrate evaluation mechanics into the SDLC, & automate Responsible AI checks within CI/CD pipelines.

Step 3

Handover and Recommendations

Provide training, documentation, and actionable recommendations to enable teams to continuously monitor & improve adherence to Responsible AI practices.

AIxamine Features

Responsible AI Dashboard

Customizable dashboards with insights that show where your Gen AI app stands against responsible AI principles:

  • Reliability & Safety
  • Fairness, Ethical & Inclusiveness
  • Transparency
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Responsible AI Score

Holistic measurement of the responsibility of your Gen AI apps based on responsible AI metrics.

Quality Gate

Responsibility pass/fail criteria integrated with your SDLC and DevOps.

Key checkpoints include but not limited to:

  • Accuracy
  • Hallucinations
  • Fairness and Bias Detection
  • Context alignment
  • Compliance
  • Performance
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Detailed Logs

See the expected vs. actual outputs of each prompt to make a plan for resolution.

Faster Deployments, Fewer Risks, More Innovative Gen AI Apps

Integrate Responsible AI checks into the Gen AI development lifecycle

Create tailored dashboards for technical and business stakeholders

No licensing or long-term commitment-your organization owns the framework

Deploy within your environment, governed by your policies

We’re here to help you launch responsible Gen AI apps

Enterprise organizations depend on our framework to take their Gen AI solutions from idea to product.

Our team combines AI, data analytics, app dev, and testing experts so no matter what comes next for you, we can help.

With our data platform accelerator we ensure your AI initiatives are built on an intelligent data strategy.

Ready to deploy responsible Generative AI apps?

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