MLOps Research

Abacus.AI MLOps

Use Abacus.AI’s state of the art AI platform to run your own models at enterprise scale

Organizations can use one or more of these modules to accelerate in-house developed models to production, host them, operationalize them by automating the flow of data and monitor them continuously

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Real Time ML Feature Store

  • Merge batch and streaming data pipelines
  • Build features in SQL or Python using intuitive UI or API
  • Create nested and time travel features for advanced ML models
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Vector Matching Engine

  • Scales to billions of embeddings
  • Enterprise scale update speeds and millisecond latencies
  • Applied to language, image and recommender models
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Drift, Observability and Explainability

  • Ensure model efficacy by monitoring drift
  • Get real-time explanations for predictions
  • Model monitoring for latency and performance
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Model Hosting and Data Pipelines

  • Model hosting and auto-scaling of machine and deep learning models
  • Periodic data refresh, model retraining and deployment
  • Versioning, RBAC and Audit logs for compliance and governance
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