Lightning Rod

Lightning Rod builds custom prediction models from an organization's existing operational data, such as timestamped records and historical outcomes. The platform addresses the problem of training domain-specific AI without manually labeled datasets: its Future-as-Label approach uses real-world outcomes as the training signal, so models learn which signals predict results in a given business. The company handles data preparation, training, evaluation, and deployment, turning messy data into standardized reinforcement learning training environments.

The platform includes Foresight forecasting models and Custom Models tailored to specific domains, with Private Deployments available in the customer's cloud or the company's. Models are trained for particular workflows or products and can be deployed for tasks such as deal forecasting, clinical event prediction, supply chain disruption forecasting, and public company risk analysis. The company also publishes research and maintains benchmark entries, and is cleared for defense procurement through federal innovation marketplaces.

Lightning Rod serves enterprise, government, and startup customers. The pages describe demos and calls as the entry point rather than published pricing, and do not specify plan tiers, seat-based, or usage-based packaging.