Task-specific ML models
powered by your data

PigeonsAI is a training and deployment platform that helps you train the latest end to end
neural networks to achieve state of the art performance on your task.

We provide a straightforward path to AI adoption.

PigeonsAI's SDK is designed for both novices and seasoned ML teams, simplifying model deployment and offering advanced customization for experts.

Data Ingestion

Connect data sources for model-ready input. No labeling/feature engineering needed.


Serverless GPU environment orchestration for model training with automated versioning.


Models compile in Rust for 10x throughput. Elastic scaling with auto deployment to k8s.

End to End Recommendation Network:

New, end to end neural network architecture that combines the world model understanding of gen AI with the reliability of traditional recommendation algorithms, setting a new benchmark in prediction accuracy.Encoder language model into the architecture for a deeper understanding of user preferences and item characteristics
Context and sequence-aware recommendations that consider user behavior, data types, and the sequential order of user-item interactions

State of the art prediction accuracy with no data labeling or feature engineering required

More accurate than linear models and competitors
Under 100ms prediction time
More throughout than base Python
Coming Soon

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Coming Soon

For More Details Book a Demo...

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End to end networks achieve state of the art performance. We start you from square one so you bring them to production quickly. 

1      from pigeonsai import Skyrun
3      Skyrun.init("ContentBasedRecommender")
5      data_path = "s3://mybucket/data/profiles.csv"
6      model_name = "social_app_recommender"
7      lr = 2e-4
8      weight_decay = 2e-5
9      epochs = 248
11     Skyrun.train(data_path, model_name, lr, weight_decay, epochs)
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Learn how businesses and entire industries are transforming with the innovations in machine learning and AI.

Financial Services

fraud detection, risk monitoring, transaction analysis, and more.


Personalized feeds based on user behavior or recommending frequently purchased together.

Internet of Things (IoT)
Anomaly detection for IoT, Energy, Biotech, Manufacturing, and others.

Music & Video Streaming
Recommended songs/videos like TikTok, Youtube and Spotify.


Recommendations & Fraud detection for transactions and off marketplace activity.

Social Apps

For you feeds, similar profiles and NLP based sentiment analysis on posts.

Get started
for free

We'll get you started on a 30 day trial with $300 credits to spend at your own pace.
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