Careers/[M-01]
Blog/[M-02]
Domain-specific
training data.
1MLabeled Samples
9+Specialized Domains
↓40%Avg. Loss Reduction
NER Annotation
Instruction Tuning
QA Pairs
Synthetic Data
Classification
RAG Pipelines
Red Teaming
Human Eval
Training_Log/[M-03]
▸ 9 steps· 0 errors· 14.2s elapsed
epoch 04 completeModels/[M-04]
Neognathae.com
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System Active
Auxerta builds specialized training data and purpose-built models for domains where human expertise still matters — and where getting it wrong is not an option.
0+
LABELED SAMPLES
Expert-annotated, domain-validated
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SPECIALIZED DOMAINS
Law, medicine, defense, finance, agriculture
↓0%
AVG LOSS REDUCTION
vs. general-purpose baselines
0%
ANNOTATION ACCURACY
Human-verified, zero-tolerance QA
Timeline
2025.Q3First domain pipeline shipped — financial risk
2025.Q4NVIDIA Inception cohort accepted
2026.Q11M labeled samples milestone
2026.Q1Adversarial robustness framework deployed
2026.Q2Series A — scaling to 6 new verticalsIn Progress
Merit. Craft. Responsibility. — In a universe with endless possibilities, we choose to build what matters.
All systems nominal