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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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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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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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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Human-AI Champion-Challenger

  • Notebook hosting for easy model iteration and development
  • Register custom algorithms for specific problem types including time-series, vision, and NLP
  • Use human intelligence and compete with models built by our AI techniques
  • Evaluate on standard metrics
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