Build smarter applications with Context Aware AI

PigeonsAI helps you to train and deploy Context-Aware Neural Networks (CANNs), a model architecture built on top of transformers. CANNs achieve state-of-the-art accuracy on tasks such as anomaly detection, personalization, and more – all without the need for data preprocessing or labeling.

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.

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Integrates seamlessly with your existing stack

We provide a straightforward
path to AI adoption.

We provide a straightforward path to AI adoption.

We provide a straightforward
path to AI adoption.

01. Data Ingestion

Effortless data integration from diverse sources, structured or unstructured. Our pipelines deliver model-ready data, eliminating complex data engineering.

02. Training

Effortless model training with automated GPU orchestration. Your models are versioned and tracked, allowing you to focus on innovation while we handle the complexities.

03. Inference

Seamless inference at scale with elastic replica scaling ensures your models are always responsive, during peak demand.

State of the art prediction
accuracy on your data

State of the art prediction accuracy on your data

State of the art prediction
accuracy on your data

PigeonsAI's SDK democratizes access to the best deep learning models to every team.

PigeonsAI's SDK is designed for novices and seasoned ML teams.

Supported Use Cases

PigeonsAI currently supports two use cases, context aware recommendation models for next item prediction and context aware anomaly detection models for tabular data.

Recommendation

Deploy context and time-aware recommender models. Capturing evolving user behavior and leveraging item attributes and interaction sequences, our models significantly outperform current state-of-the-art models.

Anomaly Detection

Build fraud and security monitoring systems with context-aware anomaly detection models. Leveraging data attributes and self-supervised learning, precisely detect subtle anomalies in noisy, unlabeled data, achieving close to perfect prediction accuracy.

Security

Enterprise Grade Security:

We prioritize the security and privacy of your data and models, safeguarding your valuable assets with industry-leading practices and stringent compliance standards. A security documentation is available upon request, providing a comprehensive overview of our measures.

Encryption safeguarding your data at rest and during transit, single-tenant isolation.

No personally identifiable information needed for model training, data gets wiped after every training run.

UserInteractions

Anomaly Detection

Training

Security

Enterprise Grade Security:

Encryption safeguarding your data at rest and during transit, single-tenant isolation.

No personally identifiable information needed for model training, data gets wiped after every training run.

UserInteractions

Anomaly Detection

Training

Deployment

On Premises or Cloud:

We offer flexible deployment options to accommodate your specific requirements and infrastructure preferences. Whether you choose to host our solution on-premises or leverage the scalability of the cloud, we ensure a seamless integration tailored to your needs.

Cloud-native architecture for effortless scalability and cost-efficiency.

On-premises deployment for maximum control and data sovereignty.

2023

Questions & Answers

Learn more about what PigeonsAI has to offer or feel free to contact us at hello@pigeonsai.com

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What are context aware neural nets?

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Which database integrations/connectors are currently available?