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AI Infrastructure & Agent Provisioning

GPU compute, model registries, agent orchestration, and security guardrails for autonomous systems.

Per-sprint cadence MSP

AI infrastructure is not just cloud infrastructure

Training and serving AI models introduces different failure modes than traditional workloads. GPU utilisation, model provenance, prompt injection, data exfiltration through inference APIs, and agent behaviour drift are all new attack surfaces. Organisations building agentic systems need infrastructure designed for these risks from the start. Cynteri designs and hardens the underlying platform so your AI teams can iterate fast without unknowingly expanding your risk profile.

Full-stack AI infrastructure delivery

We handle everything below the model layer: compute cluster architecture with appropriate interconnects, model registry deployment with hardened access and artifact signing, agent communication mesh with built-in identity and encryption, and guardrail systems that enforce operational boundaries on autonomous behaviour. Observability is purpose-built for AI workloads — tracing agent decisions, logging model inputs and outputs, tracking cost per inference, and alerting on drift or anomalous usage patterns.

What is included
  • AI workload infrastructure — GPU cluster sizing, high-performance networking, and storage architecture
  • Model registry and artifact store hardening with access controls, signing, and audit logging
  • Agent-to-agent communication security with identity, encryption, and rate limiting
  • Guardrail deployment — operational boundaries, escalation paths, human-in-the-loop enforcement
  • LLM pipeline security covering prompt injection testing, data leakage prevention, and supply chain scanning
  • Observability for agentic systems — trace propagation, decision logging, and cost tracking
What is not included
  • Model training or fine-tuning itself
  • Application feature development on top of models
Tools and platforms we operate
Kubernetes + GPU operatorTerraformMLflow / KubeflowGuardrails AITrivy / SnykPrometheus / Grafana / OpenTelemetry
Talk to an engineer

Tell us what needs protection.
Thirty minutes. No slide deck.

You will talk to a senior engineer on the team that would actually defend your stack — not a sales development rep.

  • No NDA required for the first call
  • We will send a written summary within 24h
  • If we are not a fit, we will tell you who is

We will not put you on a drip campaign.