Infrastructure with unit economics

Cloud Architecture & AI FinOps

We design cloud systems that scale deliberately, expose the cost drivers behind AI workloads, and preserve operational control as usage changes.

cloud

Architect secure AWS foundations and make AI consumption visible through workload-level cost, capacity, and reliability controls.

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When to bring us in

Signals the system needs a stronger production path.

01

AI spend is visible only as a provider invoice, not by feature, tenant, or completed task.

02

Usage growth creates unpredictable capacity, latency, or margin pressure.

03

Infrastructure changes are manual, difficult to reproduce, or risky to roll back.

04

Security and data-isolation assumptions have not kept pace with the architecture.

What we build

Capability, control, and ownership in one system.

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AWS architecture

Design fit-for-stage infrastructure, data boundaries, resilience, and deployment topology.

savings

AI unit economics

Attribute model, retrieval, orchestration, and compute costs to features and business outcomes.

code_blocks

Infrastructure as code

Create reviewable, repeatable environments with policy checks, drift visibility, and rollback paths.

Production controls

Guardrails that live in the workflow.

  • ruleWorkload budgets, alerts, quotas, and capacity thresholds
  • ruleData isolation, secrets management, and network boundaries
  • ruleInfrastructure policy, review, and drift detection
  • ruleResilience testing, observability, backup, and rollback
  • ruleProvider and model routing rules tied to cost and quality

Measurable outcomes

Evidence that guides the next decision.

  • monitoringCost per feature, tenant, inference, or completed workflow
  • monitoringBudget variance and forecast accuracy
  • monitoringLatency, availability, recovery, and capacity headroom
  • monitoringInfrastructure change failure and rollback performance

Start with Technical Review

Make the next production decision with evidence.

Start with an independent view of architecture, usage, cost drivers, capacity, security, and incident readiness.

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