AI Infrastructure

Foundational, secure, and scalable by design

At Stratiform, we don’t plug in platforms — we architect custom AI infrastructure tailored to your organisation’s data, compliance, and performance needs.

Whether you’re deploying large language models, embedding vector search, or building private inference environments, we deliver enterprise-ready foundations that support long-term AI growth.

Why It Matters

To fully unlock the value of AI, companies need more than tools — they need the right environment.

Many off-the-shelf solutions sacrifice control, security, and flexibility. That’s where we come in.

We help you:

Deploy on-premise or hybrid infrastructure tailored to your environment
Ensure data security, privacy, and regulatory alignment
Optimize compute resources (e.g. GPU clusters) for scalable AI operations
Prepare for advanced workloads like LLM orchestration, embedding pipelines, and agent runtimes

What We Deliver

On-Premise & Hybrid Deployments

We work with your IT and InfoSec teams to design infrastructure that aligns with internal policies, industry regulations, and cloud strategies. Whether fully on-prem or hybrid cloud, your infrastructure stays under your control.

Scalable Compute for Modern Workloads

We set up infrastructure to support:

Large Language Models (e.g. GPT-style)
Vector databases for semantic search
Embedding pipelines for multi-modal processing
Agent runtimes and orchestration layers (LangChain, Autogen, etc.)

Full-Stack Engineering

From storage and networking to containerization and API integration, we bring the engineering experience to build infrastructure that’s reliable, observable, and production-ready.

Engagements

Infrastructure scoping and architecture design

Secure model deployment environments (internal LLMs, fine-tuned models)

GPU provisioning and job scheduling

Setup of retrieval-augmented generation (RAG) stacks

Integration with enterprise authentication (SSO, LDAP, RBAC)