The value of your Generative AI product is intrinsically linked to your data, business context, and users.

Align LLMs with business metrics

Introduce external data on business performance to your LLM metrics to correlate outcomes with activity.

Evaluate with your own data

Set custom evaluators, import external tools and create example datasets specific to your use case.

Test the impact of changes

Measure and compare the impact of changes to accelerate optimization. Ship capabilities quickly and with confidence.

Deploy Radiant to monitor interactions and optimize performance of your Generative AI applications in a streamlined interface.

Start Deploying

Install Radiant

Deploy Radiant securely on your network, or work with your data in Radiant cloud.

Establish a baseline

Monitor LLM activity in real time. Configure custom evaluators or introduce external metrics.

Align to your goals

Set rules and filters for detecting unusual behavior or identify examples leading to target outcomes.

Improve and Fine tune

Test and evaluate changes that produce your target outcomes. Use human feedback for precise results.

Bring your AI product from prototype to production

Radiant ensures that applications perform reliably at scale and remain aligned with the evolving needs of businesses - making the journey from concept to production smoother and more manageable.

Performance Management

Align generative AI model performance to your business outcomes.

Real-time monitoring

Track LLM activity across any model and any use case in real time.

External KPI Integration

Integrate external metrics from other systems to correlate model performance.

Human Feedback

Incorporate human feedback to categorize results and confirm evaluations.

Comparison Testing

_{Measure the effectiveness of changes before deploying to production.}

Evaluation Engine

Turn complex model interactions into structured data.

Metrics Templates

Launch new projects quickly with over 20 built in metrics.

Custom Evaluators

_{Configure evaluations specific to your use case or integrate external evaluation tools.}

Outlier Detection

Find subtle outliers in high volumes of data quickly.

Alerting Framework

_{Set alert conditions to detect specific behavior quickly. Synchronize with your observability tools.}

Model Gateway

Control which models, apps, data and users can interact with each other.

Intelligent Routing

_{Manage how traffic moves between your applications and LLMs.}

Access Controls

Set fine-grained permissions synchronized with your identity management system

Budgets and Tagging

Monitor spend and set limits across use cases, customers and users.

Make AI products that exceed expectations.