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Specialized AI and AgentOps Professional Services

From fine-tuning and deploying cutting-edge models to strategic advisory and training, we offer a suite of specialized services to accelerate and de-risk every stage of your AI journey.

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AI/LLM Platform Advisory

Platform Advisory gives you a direct line to our experts, it's like having a fractional AI/LLM CTO in your Slack.

  • Direct line to senior engineers & architects.
  • Tailored strategic guidance aligned with your requirements and business objectives.
  • Guidance on migrations, architecture, and compliance.
  • Avoid costly missteps and accelerate decisions.
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Multi-Model Customization & Fine-Tuning

Optimize your GPU usage and achieve peak performance with our expert model customization and fine-tuning services for hyper-scale workloads.

  • Performance tuning for specific model architectures.
  • Efficient memory management strategies.
  • Cost-effective GPU utilization for training and inference.
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AI Native Assessment

Gain a clear, strategic overview of your current cloud and AI infrastructure. We'll assess your setup against industry best practices for security, scalability, and cost-efficiency.

  • Comprehensive review of your existing cloud architecture.
  • Security and compliance gap analysis.
  • Actionable roadmap for modernization and optimization.
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Customized Cloud & AgentOps Architecture

For teams with unique requirements, we design bespoke cloud and MLOps architectures from the ground up, tailored to your specific AI workloads and business goals.

  • Custom-designed cloud infrastructure blueprints.
  • Specialized CI/CD and GitOps workflow design.
  • Architecture for regulated or high-security environments.
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Legacy Platform Migration

Move workloads from brittle or costly setups to your new cloud-native platform.

  • Assessment, phased migration plan, and rollback strategy.
  • Data and model compatibility validation.
  • Execution by the team that built the core stack.
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Team Enablement & Training

Hands-on training tailored to your stack and roles.

  • DevOps, MLOps, and AgentOps workshops.
  • Deep dives: Terraform, Helm, Kubernetes, CI/CD, vLLM, API Inference Gateway.
  • Labs, runbooks, and operator playbooks.

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