AI Factory

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At Codename 37, we help enterprises move beyond AI hype into scalable, real-world impact. As an AI systems integrator, we design and deploy full-stack AI Factories—purpose-built environments that transform data into intelligence at scale. In partnership with Dell, NVIDIA, Cloudera, and supporting the broader data ecosystem (Snowflake, Databricks, ServiceNow AWS, and Azure), we architect the next generation of enterprise infrastructure: one that produces insight, action, and autonomy as core outputs of daily operations.

Our approach is holistic. We build AI Factories from the ground up—merging compute, storage, networking, data flows, and model orchestration into a single, unified system. From on-premise and edge deployments to cloud-native scalability, Codename 37 ensures that every AI workload is performant, secure, and aligned with your business strategy. Whether you are deploying retrieval-augmented generation (RAG) models, fine-tuning LLMs on proprietary data, or automating enterprise decision-making with AI agents, we deliver the infrastructure and integration needed to make it work—now and in the future.

Codename 37 architects and integrates the AI-native infrastructure required to operate at the scale and speed of intelligence. We don't just implement hardware—we build end-to-end AI Factories: systems that transform raw data into continuous, actionable insight. From high-performance compute and GPU clusters to real-time data pipelines, model orchestration layers, and enterprise-grade governance, our infrastructure enables AI to function as a core operational capability.

Our team delivers fully integrated AI ecosystems across on-prem, edge, and multi-cloud environments—leveraging platforms like Cloudera, Snowflake, Databricks, AWS, Azure, and NVIDIA. We design AI architectures that support real-time inference, streaming intelligence, agentic automation, and hybrid AI models. These systems are built for security, compliance, and scale—powering everything from low-latency AI decisioning to fully autonomous enterprise operations. With Codename 37, the AI Factory isn’t a concept—it’s your infrastructure.

At Codename 37, we engineer unified, AI-native data platforms that serve as the foundation of the enterprise AI Factory. Our platforms are built to continuously feed AI pipelines with clean, governed, real-time data—enabling everything from predictive analytics and autonomous decisioning to agentic AI automation.

We integrate structured and unstructured data across on-prem, cloud, and hybrid environments using modern architectures—lakehouses, real-time streams, and self-optimizing dataflows. Whether deploying on Cloudera, Snowflake, Databricks, AWS, or Azure, we ensure data is always accessible, secure, and AI-ready. From vector search and LLM-powered insights to high-velocity pipelines for streaming inference, Codename 37 builds the data layer that powers AI at scale.

Codename 37 transforms enterprise workflows by embedding real-time, AI-powered automation into the heart of operations. We go beyond dashboards—designing systems that act, adapt, and optimize autonomously. Our AI automation layer is where decision intelligence meets execution, empowering enterprises to scale intelligent action across supply chains, finance, IT, and customer experience.

We build and deploy LLM-powered copilots, self-learning AI agents, and orchestrated automation frameworks that integrate directly with ERP, CRM, and ITSM systems. From RPA augmentation to fully autonomous workflows, every automation is governed, monitored, and continuously optimized. With Codename 37, enterprises don’t just adopt AI—they operate with it, at scale.

Codename 37 enables enterprises to scale AI-driven innovation with confidence. We design AI DevOps and governance frameworks that transform proof-of-concept models into production-grade systems—secure, compliant, and continuously optimized. From model development to deployment and monitoring, we embed AI into the operational fabric of the enterprise.

Our solutions unify model lifecycle management, policy-based automation, and AI-driven IT governance. Whether deploying LLM copilots, real-time decisioning engines, or autonomous agents, we ensure every AI workload is governed with precision. With seamless integration across DevOps, MLOps, and SecOps workflows, Codename 37 gives organizations the ability to scale AI with control, auditability, and trust.

Codename 37 empowers enterprises and governments to operationalize autonomous decision-making at scale. Through the development of agentic AI systems—self-learning, self-governing, and real-time—we move beyond static analytics into dynamic, intelligent execution. These agents analyze, decide, and act without human intervention, transforming operations into agile, adaptive ecosystems.

We integrate autonomous AI decisioning into enterprise and mission-critical environments—from logistics and cybersecurity to finance and public sector command systems. Leveraging large language models (LLMs), predictive intelligence, and AI-driven workflows, our agentic systems deliver continuous optimization and rapid response. Combined with embedded governance and auditability, Codename 37 ensures that every autonomous action is traceable, trusted, and aligned with organizational goals.

Codename 37 delivers managed services purpose-built for the AI-first enterprise. We oversee the full AI and IT lifecycle—from deployment and optimization to continuous governance—ensuring your AI Factory operates with maximum performance, security, and resilience. Our approach transforms AI from a project into a sustained enterprise function.

We manage AI-native infrastructure across on-prem, multi-cloud, and edge environments, fine-tuning compute, storage, and networking for dynamic AI workloads. Our services embed automation, compliance, and real-time monitoring into every layer—enabling predictive IT operations, AI-enhanced service management, and continuous model performance. With Codename 37, your AI infrastructure doesn’t just run—it evolves.