The Solution for Mission-Critical MLOps
Four checkpoint-native tools in one breakthrough control layer.
Authentrics delivers direct weight-level control: two tools for diagnostics, two for edits. Together, they turn checkpoints into an active layer for visibility, control, and resilience.
Direct Weight-Level Model Editing
Undo any previous training (throughout history) — no rollbacks, no regression.
Direct Weight-Level Behavior Steering
Steer and optimize model direction — no retrains, no hacks.
Neuron-Resolved Training Impact Analysis
Quantify which data drives results — no retrains, no trial-and-error.
Training-Session Influence Mapping
Map behaviors to training data — no blind logs, no uncertainty.
How the Tools Work Together
Real-world fact patterns show how the four tools combine to detect issues, repair models, optimize performance, and strengthen resilience.
PII Leakage in Outputs
Sensitive data emerges in model responses.
Data Poisoning Attack
Malicious data corrupts model behavior.
Model Drift in Manufacturing
Predictive maintenance model starts failing in production.
Bias in Lending Decisions
Financial AI shows biased outcomes in credit scoring.
Seamless Integration with Your Stack
Platform Compatibility
- • Works with LLMs, CNNs, RNNs, multimodal models
- • Native with PyTorch, TensorFlow, Hugging Face
- • Deploy on AWS, Google Cloud, Azure, or secure on-prem
- • API-first: integrates into calls and pipelines you already know
- • Lightweight: de minimis compute, zero storage overhead
- • Protects against PII exposure — no data ever leaves your environment
Integration Path
Control the Entire AI Lifecycle
Each tool delivers unique value. Together, they cover the full lifecycle: diagnosing training impact, tracing drift, repairing errors, and steering outputs.
For Practitioners → fewer wasted cycles, faster fixes, explainable logs
For Business → lower cost, security assurance, and resilience at scale