Themis AI

Founded 2021

Detect unreliable AI predictions and direct them to verification or expert human review

You can use Themis AI to catch risky machine learning predictions and actions before they cause problems in production. The system acts as a decision layer that evaluates model outputs alongside operating context and available evidence. Clear, dependable outputs proceed automatically under rules you set, while uncertain or conflicting results get rerouted to other models, trigger additional evidence gathering, or escalate to human experts. Using its Capsa technology, you can also inject uncertainty-estimation capabilities directly into your models to identify unfamiliar inputs.

What Themis AI does

Flag unreliable model predictions before executing actionsRoute ambiguous edge cases to expert human reviewersEstimate prediction uncertainty across vision and language modelsSend low-confidence tasks to alternative modelsDefine automated decision policies for repetitive workflowsCollect evidence automatically when model predictions conflict with recordsAdds uncertainty estimation directly into existing machine learning modelsEvaluates predictions against context and evidence to flag risksRoutes routine, low-risk cases automatically to complete actionsEscalates uncertain or conflicting predictions to human expertsRedirects out-of-distribution inputs to alternate modelsRuns on edge devices for local defect inspection