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
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Provisioning and Data Pipelines
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Model Deployment and CI/CD
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Monitoring and Logging
Allocate resources across expertly designed data pipelines for uninterrupted data flow and maximum uptime.
Deploy pipelines seamlessly with integrated CI/CD processes for rapid and reliable delivery of AI solutions.
Monitor and log systems to ensure complete visibility into your AI model performance and infrastructure health.
Machine Learning
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Model Training and Evaluation
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Hyperparameter Tuning
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Model Versioning
Validate models thoroughly to maximize accuracy and minimize risk through rigorous training processes and detailed evaluation.
Leverage strategic hyperparameter tuning to optimize model performance and balance accuracy, speed, and resource efficiency.
Maintain advanced versioning strategies for clear, reliable records of your AI models, ensuring traceability and accountability.
AI Agents (Broccoli)
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Prompt and Agent Stores
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Agent State Management and Lifecycle
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Performance Monitoring, Error Handling, and Recovery
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Guardrails, Training, and Optimization
Managed prompt and agent stores streamline workflows and enable rapid deployment of task-specific agents.
Comprehensive lifecycle management tracks and optimizes agent performance through every operational stage.
Identify performance anomalies promptly and maintain consistent service delivery with automated error handling and recovery mechanisms.
Use built-in guardrails to enforce compliance, while ongoing agent training and optimization ensure continuous enhancement of capabilities.
ML, Data, and LLM Operations
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Collaboration and Workflow Management
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Multi-Agent State Management
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Performance Management
Streamline team operations, enhancing transparency and accelerating project delivery with support for high-performance team environments.
Drive coherent interaction among AI agents with smooth orchestration, optimizing agent productivity and resource utilization.
Track, analyse, and refine AI operations continuously, boosting efficiency, reliability, and ROI to maximize Ai's operational effectiveness.
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