Independent consultancy

Senior technical judgment for systems that have to hold up in production.

IRON35 works with teams facing architectural ambiguity, delivery pressure, or the difficult move from experimental AI work to dependable systems.

AI systems
Data platforms
Production engineering

Small by design. Direct access, selected engagements, and senior-only work close to the architecture, the tradeoffs, and the delivery path.

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Operating model

Independent by design. Structured for direct senior attention.

This practice is intentionally small. The point is not volume. The point is to keep technical judgment close to the real system, the real constraint, and the real delivery decisions.

01 — Direct access No handoff model. The person shaping the engagement stays close to the technical work itself.
02 — Selected scope Depth over volume. IRON35 is built for a focused number of mandates where senior attention matters.
03 — Senior-only work Advice that can survive implementation. Architecture, sequencing, and delivery support stay tied to operating constraints.
04 — Delivery aware Built for real systems. The work is meant to reduce friction, clarify direction, and move the system forward.
Best fit Architecture is blurry. You need clearer technical direction and a credible execution path.
Best fit Delivery is fragile. The system exists, but reliability, sequencing, or ownership are working against it.
Best fit Senior judgment matters. The problem is too important for generalized process or lightweight advice.

Where IRON35 is most useful.

This is not a lecture circuit and not a volume consultancy. IRON35 is for teams that need experienced technical judgment close to architecture, systems, and delivery constraints.
Architecture

Technical direction for important decisions.

When the path to production is unclear, IRON35 helps define the architecture, sequencing, and execution choices that matter most.

  • System design for AI and ML workloads
  • Architecture reviews and technical tradeoff analysis
  • Reliability, rollout, and delivery-path decisions
Foundations

Stronger systems underneath the model.

Many failures are ordinary failures: data flow, orchestration, infrastructure, and observability problems that quietly undermine the system.

  • Data pipelines, workflow orchestration, and environment control
  • Infrastructure automation and operational guardrails
  • Observability and dependable iteration across the stack
Execution

Rescue, stabilization, and delivery support.

Some situations call for more than advice. IRON35 can stay close to implementation and help a critical initiative move forward cleanly.

  • Hands-on support for fragile or high-pressure delivery periods
  • Simplification of overcomplicated technical paths
  • Principal-level judgment where execution depth matters

Selected engagements, principal-led end to end.

The practice is structured for a focused number of mandates where senior technical attention changes the quality of the outcome. Fewer layers. Fewer handoffs. Clearer tradeoffs.
01 — Diagnostic

Clarify the real constraint.

A short, focused assessment to identify architecture risk, delivery friction, and the few decisions that are most likely to change the trajectory.

02 — Advisory

Stay close to key technical decisions.

Ongoing principal-level support for leadership teams that want clearer judgment around architecture, sequencing, and execution tradeoffs.

03 — Focused build or rescue

Move a critical system forward.

Hands-on support to stabilize delivery, simplify complexity, or get an important initiative across a difficult threshold with less friction.

Useful when senior attention needs to stay near the technical reality: the architecture, the tradeoffs, and the implementation path.

The practice stays company-first. The operating model still matters.

Necati Demir leads IRON35 and works directly on every engagement. The consultancy stays intentionally small so the conversation, diagnosis, and execution remain close together.

IRON35 exists for clients who want experienced technical thinking without layers between the conversation and the work itself. The practice is independent, direct, and selective by design.

Operating style Principal-led engagements
Scope AI systems, data platforms, production engineering
Structure Independent consultancy

Start with a concise, direct brief.

Describe the system, the current constraint, and the timeline. A short message is enough to determine whether the fit is right and what the next step should be.

Useful first brief

Enough context to assess fit quickly.

  • What the system does and where it is currently stuck
  • The bottleneck, delivery risk, or architectural concern
  • Current stack, team context, and technical realities
  • Timeline, urgency, and preferred engagement format