AI detection for ML & data teams
AI detector for ML engineers & data scientists
Optimize LLM training and data selection. Prevent model collapse by filtering synthetic text from your pre-training or fine-tuning datasets with 99.98% accuracy and high-throughput API performance.
from pangram import Pangram
# Filter synthetic data from corpus
client = Pangram(api_key="your-api-key")
clean_corpus = []
for doc in training_corpus:
result = client.predict(doc.text)
if result['fraction_ai'] < 0.3:
clean_corpus.append(doc)
print(f"Corpus: {len(clean_corpus)} clean docs")'ın güvenilirglobal markaları
Use cases
Don't train your models
on bad data.
Synthetic text is contaminating public datasets. Filter AI-generated content from your training pipelines with the most accurate AI detection engine to maintain corpus purity.
Prevent Model Collapse
Recursive training on AI-generated content degrades model performance and diversity. Identify and filter AI-written content from your scraping pipelines to ensure corpus purity.
Verify RLHF Inputs
Ensure your Human Feedback (RLHF) data is actually human. Detect if crowd-workers are using ChatGPT to generate responses for your fine-tuning tasks.
Granular Interpretability
Don't settle for a binary label. Our Premium API returns token-level probabilities, allowing you to retain human-edited segments while discarding fully synthetic "slop".
Technical approach
A model you
can trust
Built for engineers who need confidence in their data filtering. Our model addresses false positives, adversarial robustness, and evolving AI outputs.
Sert Negatif Madencilik
We train on 'hard negatives' — human writing that is stylistically formal or repetitive — to minimize false positives and ensure you don't discard valuable human data.
Adversarial Robustness
Pangram handles paraphrased or modified AI content. Our models are trained against "humanizers" and adversarial attacks to detect obfuscated synthetic text.
Future-Proofing
Detects text from the latest models including GPT-5, Claude 3.5, and Llama 3, ensuring your filters stay ahead of the current SOTA.
Entegrasyon
Built for your
data pipeline
01
Python SDK
Install pangram-sdk and integrate detection into your Airflow or Databricks pipelines with just a few lines of code. Optimized for connection pooling and error handling.
Belgeleri Görüntüle →
02
High-Throughput
API
Process massive datasets with low latency. Our infrastructure supports batching and guarantees throughput, handling millions of requests for enterprise scraping operations.
API Anahtarını Al →
03
Security &
Compliance
Fully SOC 2 Type 2 certified. We offer private endpoints and strict data retention policies — we never train on your proprietary inputs.
Daha fazla bilgi →
Sıkça Sorulan Sorular
AI Algılama SSS
Common questions about AI detection for ML engineers
and data scientists.
Yes. You can install the pangram-sdk to integrate detection into Airflow or Databricks pipelines with just a few lines of code. Our API is optimized for high-throughput enterprise scraping operations, supporting millions of requests with low latency.
Explore more
AI detection for
every organization
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Learn more →Clean your training data today
Prevent model collapse, verify RLHF inputs, and filter synthetic content from your datasets with 99.98% accuracy.
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