Home / Consulting

Consulting
for hard trade-offs.

For engineering and R&D teams making decisions where the right answer depends on balancing many objectives at once — and getting it wrong is expensive. Three structured ways to work together, drawn directly from the methods and frameworks behind the doctoral research and the AcoustR / Sensorry ventures.

§ 01 / Offers

Three engagements, scoped to fit.

01

Sensor Optimisation Audit

Three-week engagement · Fixed scope · Diagnostic deliverable

The shortest path from "we have a sensor network we're not sure is right" to a defensible answer about what's redundant, what's missing, and what to change first. The audit uses the same MOSOF / NDCI methods validated on the Boeing 737-800 ECS, applied to your asset and your objectives.

What's included

  • Kick-off workshop to capture stakeholders, objectives, and constraints
  • Analysis of the existing sensor configuration against information-theoretic and reliability metrics
  • NDCI scoring of every sensor in the current network
  • Identification of redundancy, coverage gaps, and a proposed optimised configuration
  • Final read-out with prioritised recommendations

Best for

  • Mid-life sensor reviews on safety-critical assets
  • Pre-tender clarity before specifying a new sensor stack
  • R&D programmes scoping IVHM coverage
  • OEMs reviewing diagnostic value-for-cost across a platform
02

Custom Optimisation Framework

Project-based · Bespoke methodology · Production-grade output

An end-to-end engagement to develop a multi-objective optimisation framework tailored to your platform, system, or programme. We start from the methods of the published research — MOSOF, NDCI, NSGA-family search — and adapt them to your objectives, constraints, decision criteria, and operating reality. The result is a tool your team can use, not a slide deck.

What's included

  • Joint problem-formulation: encoding objectives, constraints, and stakeholder weightings
  • Adaptation of the optimisation algorithm to your specific decision space
  • Validation against a reference case from your operation
  • Documented framework hand-over to your engineering team
  • Optional: training and on-call support during first uses in production

Best for

  • OEMs with a recurring trade-off problem across product lines
  • R&D programmes needing a defensible decision framework
  • Operators planning fleet-wide sensor or maintenance redesigns
  • Teams whose existing tools collapse multiple objectives into a single-axis cost-benefit
03

Technical Advisory Retainer

Ongoing · Strategic input · Senior bandwidth on tap

Ongoing strategic input for engineering and R&D leadership making complex trade-off decisions. A monthly review, on-call expertise across optimisation, IVHM, and system architecture, and a single point of contact for second-opinion judgement on the calls that matter. Designed for scale-ups, OEMs, and innovation programmes that need senior technical bandwidth without the overhead of a full hire.

What's included

  • Monthly working session with the technical leadership team
  • On-call availability for second-opinion judgement and review
  • Quarterly written briefing on the state of the technical roadmap
  • Optional: ad-hoc deep dives on specific decisions (priced as add-ons)

Best for

  • Industrial-AI scale-ups making sensor / data architecture decisions
  • OEM R&D teams entering an IVHM programme
  • Innovation programmes balancing multiple competing pilots
  • Founders building diagnostic / decision products
§ 02 / Process

From brief to delivery.

A short, deliberate path. The first call is always free, focused on whether your problem is the right shape for what I do — and saying so honestly when it isn't.

Step 01

Brief

You send a short note about the asset, the decision, and what's at stake. No NDA needed for a first conversation.

Step 02

Scoping call

A 30-minute call to confirm the right offer, the right scope, and whether the problem is genuinely a fit. Free.

Step 03

Proposal

A concise written proposal with objectives, deliverables, timeline, and price. Usually within a week.

Step 04

Delivery

Kick-off, milestones, and a clear hand-over. Senior bandwidth throughout — you talk to me, not a layered team.

§ 03 / Who this is for

The right kind of problem.

I work best on problems where the answer depends on balancing many objectives at once — and where the cost of getting the call wrong is large enough to justify thinking carefully. The home turf is broad: sensors, diagnostics, system architecture, decision frameworks, ML and software systems with multi-objective trade-offs, and anywhere optimisation theory needs to survive contact with real operations.

Where I'm not a fit: single-axis cost-down work that pretends a trade-off doesn't exist, engagements that don't actually need a method behind the decision, and anything that doesn't have a defensible engineering or scientific structure underneath what's being optimised.

Likely a fit

  • Aerospace OEMs & tier-1 suppliers
  • Industrial scale-ups with IoT / sensor stacks
  • Energy & utilities operators
  • MROs running condition-based maintenance programmes
  • R&D programmes funding IVHM, diagnostics, or applied-AI work
  • ML / data teams whose model-design decisions trade off accuracy, cost, latency, and reliability
  • Software teams with multi-objective design, A/B, or system-tuning problems
  • Founders building diagnostic, decision, or industrial-AI products

Probably not

  • Single-axis cost-down work
  • Greenfield digital transformation with no defined decision problem
  • Generic strategy consulting
  • Engagements scoped under £5k
§ 04 / FAQ

Common questions.

Are the methods you use proprietary or published?

Published. MOSOF and NDCI are both peer-reviewed in Sensors (MDPI). When you engage me, you get the published methods adapted to your problem — not a black box. Any extensions or custom encoding made for your engagement become yours, documented for hand-over.

Will the work be confidential?

Yes. Engagements are NDA-friendly, and any specifics about your asset, configuration, or operation stay confidential by default. The methods I bring are public; the application of them to your problem is yours.

Do you work outside aerospace?

Yes. The methods are domain-agnostic. The strongest published applications are in aerospace IVHM and industrial automation, but the underlying multi-objective structure applies anywhere sensors, diagnostics, ML systems, software architecture, or trade-off-heavy engineering decisions are the bottleneck — including software, applied-AI, and data-systems contexts.

Can you work with our existing tooling?

Usually, yes. Frameworks are typically delivered as Python implementations that integrate with whatever model/simulation environment your team already runs. Where a clean integration isn't possible, I'll say so in the proposal.

How is this different from a generic engineering consultancy?

Two ways. First: depth in one specific method-family (multi-objective sensor and decision optimisation), not breadth across many. Second: you work with the senior practitioner directly — there's no junior team between you and the work.

What's the smallest engagement you'll take?

The Sensor Optimisation Audit at £6,500 is the floor. Below that, the right move is usually a free scoping call and a referral, rather than an engagement that won't have time to be useful.

§ / Send a brief

Tell me the decision.

A few sentences on the asset, the decision in front of you, the timeline, and what wrong looks like is enough for a first reply. No deck, no NDA — just the shape of the problem.

hello@buraksuslu.com →
Audit enquiryThree-week audit
Custom frameworkProject-based
Advisory retainerOngoing input
Not sure?Free scoping call