Every service we offer is built to support the AI Factory

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 We design and implement enterprise-grade AI infrastructure—what we call the AI Factory. From GPU-accelerated compute clusters to scalable storage, networking, and orchestration layers, we engineer high-performance environments optimized for AI workloads. We deliver: 

• Multi-cloud and hybrid AI infrastructure (on-prem, AWS, Azure, GCP) 
• High-performance GPU/TPU compute environments 
• Edge AI and on-prem deployments for regulated industries 
• Integration with NVIDIA, Dell, Snowflake, Databricks, Cloudera, and more 
• Real-time data and model pipelines 

Data is the raw material of intelligence. We build unified data platforms that power AI with governed, real-time, and scalable access to structured and unstructured data. Our services include: 

• Lakehouse architecture and real-time streaming pipelines 
• Data platform integration across Snowflake, Databricks, Cloudera, AWS, Azure 
• Scalable vector databases and feature stores for LLMs and AI workloads 
• Data governance and compliance frameworks (Unity Catalog, SDX, Unistore) 
• Low-latency data services for inferencing and decision-making 

We embed AI into enterprise workflows—augmenting human decision-making, automating operations, and enabling intelligent systems to act in real time. Our offerings include: 

• AI-powered workflow automation across ERP, CRM, ITSM platforms 
• Development of self-learning agents and LLM copilots 
• Intelligent process automation in supply chain, finance, and customer support 
• Real-time orchestration and monitoring of AI-driven operations 

Codename 37 develops agentic AI systems that analyze, decide, and act without human intervention. These autonomous solutions are built for industries where speed, adaptability, and precision are mission-critical. We offer: 

• Agent-based AI design for logistics, security, finance, and operations 
• Integration of LLMs for autonomous reasoning and decision support 
• Real-time AI decisioning with embedded auditability and governance 
• Autonomous control loops for operational systems 

Operationalizing AI requires robust governance, secure workflows, and continuous model management. Our AI DevOps services enable clients to scale AI with control and compliance. Offerings include: 

• AI and ML lifecycle management (MLOps, LLMOps, policy-driven automation) 
• Secure deployment frameworks aligned to regulatory standards 
• Integrated model performance monitoring and retraining pipelines 
• DevSecOps integration and AI risk management 
• Governance across data, models, and agents 

We provide ongoing management of your AI Factory—ensuring high performance, uptime, security, and adaptability across the AI and IT stack. With Codename 37 Managed Services, clients benefit from: 

• 24/7 support for AI infrastructure and applications 
• Proactive monitoring and optimization of compute, storage, and data flows 
• Model updates, retraining, and drift detection 
• Patch management, compliance reporting, and operational resilience 
• Scalable cost management for hybrid cloud environments