What We Solve

Design and ship kernel-mode components with the same seriousness you would apply to core production infrastructure.

We design kernel components for products that need native performance, stronger local control, and tighter observability.

We focus on controlled execution, diagnostics, and outcomes that remain supportable after launch.

  • Unstable deployments caused by fragile kernel integrations
  • Crashes and blue screens without a dump-first workflow
  • Version drift across OS releases and driver signing constraints
  • Invisible regressions without telemetry and baselines
  • Endpoint complexity when security or control features collide with platform behavior
  • Performance bottlenecks at I/O and scheduling boundaries
  • Security gaps from weak policy enforcement and unsafe defaults
  • Support pain with poor docs and no reproducible debug plan
  • Upgrade risk without rollback and compatibility strategy
  • Customer trust erosion when low-level code damages system stability

Kernel engineering is controlled power.

What You Get

  • Design docs and integration boundaries that survive handoff and support
  • Signed, package-ready deliverables with rollout and rollback strategy
  • Debug plan for dumps, ETW, postmortems, and triage workflows
  • Compatibility strategy across OS versions and update cycles
  • Performance baselines with before and after metrics
  • Support-ready documentation and knowledge transfer for internal teams

Stack and Use Cases

Windows Kernel

  • KMDF, WDM, minifilters, device virtualization
  • ETW instrumentation and low-overhead tracing
  • Crash dump workflows and triage pipelines
  • Signing, packaging, installer design, and upgrade-safe rollout

Linux Kernel

  • Kernel modules and platform integrations
  • Performance profiling and regression baselines
  • Observability and controlled eBPF usage when appropriate
  • Compatibility strategies across kernel versions and deployment targets

Typical Use Cases

  • Driver development for hardware, protocols, and custom devices
  • File system and I/O control: policy enforcement and safe redirection
  • Reliability hardening: crash reduction and fault isolation
  • Latency work: p99 and p99.9 improvements with clear metrics
  • Endpoint and agent software that requires deep OS integration without destabilizing the host

Security Hardening

  • Integrity monitoring and attack surface reduction
  • Safe defaults and policy enforcement
  • Threat modeling when the deployment requires it
  • Telemetry for detection, diagnostics, and forensic readiness

Why Teams Move Fast

Senior engineers. Clear next steps. Work built for systems that carry real pressure.

Personal data is handled with clear discipline across GDPR, UK GDPR, CCPA/CPRA, PIPEDA, and DPA/SCC expectations where applicable.

Senior Access

Speak with engineers who can inspect, decide, and execute.

Usable First Step

Reviews, priorities, scope, and next moves your team can use right away.

Built for Pressure

AI, systems, security, native software, and low-latency infrastructure.

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

Start with the system, the pressure, and the decision ahead. We shape the next move from there.

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
0 / 10000