Authentrics.ai

Founded 2023

Edit and steer neural network weights without retraining models or accessing sensitive training data

You can use Authentrics.AI to diagnose, steer, and patch neural networks directly at the weight level without retraining. It works with saved model checkpoints to trace which training data influenced model outputs, detect data poisoning, and fix model drift or bias. You can edit specific weights to undo problematic training sessions, steer model behavior deterministically, and prevent catastrophic forgetting. The system installs on-premise or in private clouds via APIs and containers, keeping model updates fast while ensuring private data never leaves your environment.

What Authentrics.ai does

Patch neural network weights to remove specific learned dataMap model behaviors directly back to training datasetsSteer model outputs without running compute-heavy fine-tuning loopsDiagnose root causes of production model driftRun regression tests on weight updates before deploymentDeploy model edits directly through containerized APIsDirect weight-level model editing without retrainingNeuron-resolved training impact analysis to trace data influenceDeterministic behavior steering across open-source architecturesCheckpoint-native operation without requiring raw training data accessPrevention and remediation of catastrophic forgettingDeployment directly inside private cloud or on-premises environments