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Image, text, tabular, audio, or multimodal data. Plain English in. Trained AI agent out.

Not a chatbot or generator — we do classification, exceptionally well.

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How it works

From description to deployment in three steps

Step 1
Describe
Write your problem in plain English. No ML knowledge, no code, no configuration required.
Step 2
AutoArchitect builds
ANAS searches 266M architectures, selects the optimal agent network, and trains on real data automatically.
Step 3
Deploy
Download your agent ZIP or hit a live API endpoint. Ready to use immediately, no infrastructure needed.
Benchmarks

Verified on 5 domains

Real datasets. Held-out test data. Measurable accuracy.

Image classification
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86.6%
DatasetPothole detection (taroii)
Split305 train / 67 held-out test
MethodResNet18 transfer learning
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Text classification
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73.1%
DatasetFake news (GonzaloA)
SplitReal / fake article pairs
MethodDistilBERT fine-tuned
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Tabular classification
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98%
DatasetSynthetic fraud detection
Split80 / 20 stratified split
MethodXGBoost + feature engineering
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Multimodal zero-shot
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87%
DatasetCIFAR-10 (10-class)
Split10,000 held-out test images
MethodCLIP zero-shot (no fine-tuning)
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Audio classification
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100%
DatasetSynthetic audio test set
SplitClean held-out audio samples
MethodCNN + MFCC features
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Built for every domain
Medical imaging Fraud detection Content moderation Object detection Spam filtering Defect detection Sentiment analysis Document classification Anomaly detection Safety monitoring