Iguazio Ltd.

Automates and operationalizes AI and ML applications at scale while ensuring compliance and risk management.

Pricing not published

Easily deploy and manage serverless functions for real-time data applications.

Pricing not published

Accelerate AI deployment production while ensuring governance and scalability.

Pricing not published

Capabilities that manage the end-to-end ML lifecycle including experiment tracking, CI/CD integration, model versioning, deployment readiness, and workflow automation to operationalize models.

Products: Iguazio AI Platform, MLRun

Managed hosting and serving of models with autoscaling endpoints, OpenAI-compatible APIs, batch inference pricing, and configurable serving modes to balance latency and throughput for production deployments.

Products: Nuclio, Iguazio AI Platform, MLRun

Capabilities for monitoring, observability, automated drift detection, audit-ready logging, compliance guardrails, bias and risk mitigation, and model performance management to support responsible AI in production.

Products: Iguazio AI Platform, MLRun

Managed feature store, automated pipelines, and scalable data integration to support model training, deployment, and consistent feature access.

Products: Iguazio AI Platform, MLRun

Capabilities for fine-tuning large language models, developing generative AI agents and copilots, and optimizing model performance and cost for domain-specific tasks.

Products: Iguazio AI Platform, MLRun

Iguazio AI Platform

An enterprise AI platform that automates and de-risks end-to-end Gen AI and ML pipelines. It enables data ingestion, model development, deployment, monitoring, and governance across multi-cloud, on-prem, and hybrid environments, with guardrails for privacy, security, and regulatory compliance.

Pricing not published

• Manage AI Workflows Effectively
  Streamline complex AI projects with integrated workflow management, ensuring efficiency and optimal resource use.
• Deploy Anywhere
  Adapt deployment strategies to fit organizational needs, optimizing for diverse infrastructure setups.
• Ensure Compliance and Safety
  Safeguard against compliance risks and ethical concerns, promoting responsible AI use across deployments.
• Supports Live Decision-Making
  Real-time insights allow relationship managers to act quickly and effectively during client meetings.
• Transform Data Seamlessly
  Facilitate rapid data handling and transformation processes, ensuring readiness for AI model training and deployment.
• Personalize Language Models
  Fine-tune LLMs to achieve superior performance tailored to specific business needs while maintaining control over risks.
• Enables Immediate Production Deployment
  The AI Factory provides essential tools for operationalizing AI applications quickly and securely.
• Personalizes Client Experience
  Real-time suggestions enhance the quality of conversations and client satisfaction.
• Ensures Compliance and Safety
  These measures are vital for maintaining consumer trust and meeting industry regulations.
• Enable Real-Time Insights
  Support immediate insights and actions through elastic real-time application pipelines, enhancing operational efficacy.
• Automate Without Infrastructure Hassles
  Leverage serverless features to simplify AI application deployment, facilitating quicker iterations and enhanced flexibility.
• Improves Client Interaction Quality
  By keeping track of client sentiment, the AI maximizes the relevance of its recommendations.
• Enhances Information Accessibility
  Transcribing and summarizing client interactions aids relationship managers in retaining important details.
• Centralizes Client Information
  A comprehensive view of each client ensures informed and personalized interactions.
• Empower Data Ownership
  Promote efficient data management and governance across ML teams, enhancing collaboration and usability.
• Streamlines Client Engagement
  This feature ensures timely follow-up and enhances the professionalism of communications.
• Kickstart AI Initiatives Quickly
  Accelerate the launch of AI projects with ready-to-use services that reduce setup time and resource allocation.

Nuclio

Open source real-time serverless platform for deploying data science applications with high throughput and low latency.

Pricing not published

• Achieve Quick Response Times
  Handle large volumes of events in real-time, ensuring low latency for data-intensive applications.
• Streamline Development Processes
  Automate your development workflows with integrated CI/CD for seamless application updates and deployments.
• Convert Code to Functions
  Easily transform your model code into serverless functions for deployment with minimal effort.
• Utilize Resources Efficiently
  Automatically scale resources as needed, reducing operational overhead and costs for batch processing and intensive tasks.
• Enhance Processing Power
  Utilize GPU capabilities to optimize performance for intensive data processing workloads.
• Scale Applications Effortlessly
  Seamlessly integrate with Kubernetes for scalable and resilient deployments across cloud environments.
• Gain Insight into Operations
  Track performance and security in real-time, enabling proactive management and maintenance of your applications.
• Maximize Throughput
  Process multiple streams of data in real-time by leveraging parallel processing capabilities.
• Optimize Resource Allocation
  Allow multiple users to share resources securely while isolating their data and applications.

MLRun

MLRun is an open-source AI orchestration framework that streamlines the management of ML and generative AI lifecycles. It automates data preparation, model tuning, validation, and optimization, enabling rapid deployment of scalable real-time applications with built-in observability across multi-cloud, hybrid, and on-prem environments.

Pricing not published

• Optimize ML Pipeline Efficiency
  Provides a cohesive framework for managing the entire lifecycle of ML projects, improving operational efficiency.
• Automate AI/ML Deployments
  Utilizes CI engines to streamline the deployment of AI/ML workflows automatically.
• Enhance Real-Time Model Performance
  Enables low-latency serving of models, ensuring that real-time applications can operate seamlessly.
• Maintain Model Accuracy
  Automatically alerts and initiates retraining to ensure models stay current and effective.
• Facilitate Traceable ML Developments
  Enables comprehensive oversight of all changes in experiments, ensuring consistency and reproducibility.
• Customize AI Models Effectively
  Provides tools to tailor LLMs to specific use cases, enhancing functionality.
• Streamline Deployment Processes
  Rapidly convert ML projects into deployable applications with minimal engineering effort.