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AI Optimization

Use our Broccoli™ Reference Architecture to implement and execute your AI deployment, converting data into insights, insights into intelligence and insights into values in cost-effective ways.

Cloud, Data, and Model Infrastructure

  • Provisioning and Data Pipelines
  • Model Deployment and CI/CD
  • Monitoring and Logging
Provisioning and Data Pipelines

Allocate resources across expertly designed data pipelines for uninterrupted data flow and maximum uptime.

Model Deployment and CI/CD

Deploy pipelines seamlessly with integrated CI/CD processes for rapid and reliable delivery of AI solutions.

Monitoring and Logging

Monitor and log systems to ensure complete visibility into your AI model performance and infrastructure health.

Machine Learning

  • Model Training and Evaluation
  • Hyperparameter Tuning
  • Model Versioning
Model Training and Evaluation

Validate models thoroughly to maximize accuracy and minimize risk through rigorous training processes and detailed evaluation.

Hyperparameter Tuning

Leverage strategic hyperparameter tuning to optimize model performance and balance accuracy, speed, and resource efficiency.

Model Versioning

Maintain advanced versioning strategies for clear, reliable records of your AI models, ensuring traceability and accountability.

AI Agents (Broccoli)

  • Prompt and Agent Stores
  • Agent State Management and Lifecycle
  • Performance Monitoring, Error Handling, and Recovery
  • Guardrails, Training, and Optimization
Prompt and Agent Stores

Managed prompt and agent stores streamline workflows and enable rapid deployment of task-specific agents.

Agent State Management and Lifecycle

Comprehensive lifecycle management tracks and optimizes agent performance through every operational stage.

Performance Monitoring, Error Handling, and Recovery

Identify performance anomalies promptly and maintain consistent service delivery with automated error handling and recovery mechanisms.

Guardrails, Training, and Optimization

Use built-in guardrails to enforce compliance, while ongoing agent training and optimization ensure continuous enhancement of capabilities.

ML, Data, and LLM Operations

  • Collaboration and Workflow Management
  • Multi-Agent State Management
  • Performance Management
Collaboration and Workflow Management

Streamline team operations, enhancing transparency and accelerating project delivery with support for high-performance team environments.

Multi-Agent State Management

Drive coherent interaction among AI agents with smooth orchestration, optimizing agent productivity and resource utilization.

Performance Management

Track, analyse, and refine AI operations continuously, boosting efficiency, reliability, and ROI to maximize Ai's operational effectiveness.

AI Strategy

AI Innovation

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