What We Solve

Make AI features economically durable.

  • Slow p95 and p99 that damage product experience
  • Rising GPU spend with weak utilization and poor serving choices
  • Wrong model routing that overpays for routine requests
  • Autoscaling drift that increases cost without stability
  • Opaque serving stacks with weak profiling and cost visibility
  • Feature rollout pressure without a stable inference budget

What You Get

  • Serving architecture review for latency, throughput, and cost behavior
  • Optimization plan across routing, batching, caching, and hardware placement
  • Profiling visibility for tokens, requests, queues, and utilization
  • Rollout strategy for safer scaling and performance regression control
  • Cost model tied to product traffic and business constraints

Coverage and Delivery

Serving Stack

  • Model serving architecture and engine selection
  • Batching, caching, concurrency, and queue behavior
  • Quantization and runtime optimization paths
  • Model routing, fallback logic, and request shaping

Performance and Cost

  • GPU and CPU placement strategy
  • Latency breakdown and profiling methodology
  • Utilization analysis and scaling policy review
  • Budget-aware recommendations for production traffic

Typical Outputs

  • Serving and routing architecture map
  • Latency and cost bottleneck analysis
  • Optimization roadmap with sequencing
  • Monitoring and regression guard recommendations

Business Fit

  • AI products approaching production scale
  • Teams with rising inference spend and unstable response times
  • Platforms where margins depend on serving efficiency
  • Organizations that need AI capability without runaway infrastructure cost

Why Teams Choose SToFU Systems

Senior-led delivery. Clear scope. Direct technical communication.

01

Direct Access

You talk directly to engineers who inspect the system, name the tradeoffs, and do the work.

02

Bounded First Step

Most engagements start with a review, audit, prototype, or focused build instead of a giant retained scope.

03

Evidence First

Leave with clearer scope, sharper priorities, and a next move the business can defend under scrutiny.

Delivery Senior-led Direct technical communication
Coverage AI, systems, security One team across the stack
Markets Europe, US, Singapore Clients across key engineering hubs
Personal data Privacy-disciplined GDPR, UK GDPR, CCPA/CPRA, PIPEDA, DPA/SCC-aware

Contact

Start the Conversation

A few clear lines are enough. Describe the system, the pressure, and the decision that is blocked. Or write directly to midgard@stofu.io.

01 What the system does
02 What hurts now
03 What decision is blocked
04 Optional: logs, specs, traces, diffs
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