Typesafe ai

Generate typed decisions with calibrated confidence scores for automated backend workflows

Pricing model

Pay-As-You-Go

Rating

★ People love it

Time to value

Requires Expertise

You can use TypeSafe AI to run automated decisions inside codebases instead of using standard text-generating language models. Rather than producing unstructured text strings, it generates typed decisions paired with calibrated confidence estimates. This allows systems to act autonomously when certainty is high and escalate to human review when certainty is low. Its primary model, Jev, offers fast response speeds and low latency while lowering execution costs for high-volume classification, filtering, candidate screening, and data routing tasks across large-scale technical workflows.

What Typesafe ai does

Set confidence threshold rules for autonomous actionsSend structured questions to the model APIReceive typed decisions directly into backend codeEscalate uncertain classifications for manual human reviewEvaluate input data without generating conversational textScreen applicant resumes against specific job requirementsGenerates typed decisions directly usable by software codeProvides calibrated confidence estimates with each decisionSupports automated escalation when confidence scores fall below thresholdsDelivers faster completion times than chat-oriented language modelsUses Reinforcement Learning for Calibrated Decisions instead of standard RLHFOperates at ultra-low token costs for high-throughput machine workflows