Skip to content
MBiotech.
01Contract or freelance

Presales & solutions consulting

Technical sales support, without the full-time hire.

If demos are not landing, POCs drift for months and every serious sales call needs an engineer in the room, the gap is usually translation between the technical and the commercial, not the product.

I spent four years in enterprise B2B SaaS presales and solutions consulting: discovery, demos built around the buyer's workflow, and POCs with clear success criteria.

Most of my career has been spent at demos, conferences, webinars and customer meetings, so I am comfortable representing a company in front of technical and commercial audiences: approachable, confident and credible.

This works well as a single must-win deal, a defined block of pipeline or account support, or short-term cover during a push.

Engagement:Per deal or fixed scope · day rate

What you get

  1. Demo environments and scripts built around buyer workflows
  2. POC design, delivery and success criteria
  3. RFP and tender responses
  4. Technical discovery frameworks
  5. Objection handling playbooks for technical questions
  6. Hands-on sales assistance: deal support and account management
  7. A client-facing presence at demos, conferences and webinars
02Strategy + execution

Commercialisation & go-to-market

The commercial groundwork: positioning, pricing, first sales process.

Scientific companies usually struggle commercially because of unclear positioning, guesswork pricing and the lack of a repeatable sales process, not because of the science.

I co-founded a B2B company and sold its product end to end. I help with a clear customer profile, a sales narrative, pricing with the rationale written down, and a first repeatable sales process.

Engagement:Typically 2 to 6 weeks · fixed fee

What you get

  1. Positioning and ideal customer profile
  2. Sales narrative, first pitch deck and core collateral
  3. Pricing structure with the rationale written down
  4. Early sales motion design: qualification, sequences, pipeline stages
  5. A 90-day commercial plan with owners and numbers
03Build

Applied ML & prototype development

Test what your data supports before you build a team around it.

I build proof-of-concept models and pipelines, imaging and classification in particular, with explainability designed in from the start. Then I wrap them in working software that stakeholders can use themselves.

My own research is medical imaging classification on public datasets, with clinical advisory input from an NHS orthotics consultant, where how a model fails matters as much as its headline accuracy.

You get an honest read on feasibility: what the data supports and what production would take.

Engagement:Typically 4 to 8 weeks · fixed fee or day rate

What you get

  1. Working prototype: model, pipeline and interface
  2. Explainability outputs (e.g. Grad-CAM) where decisions need justifying
  3. Technical documentation and a reproducible training and evaluation setup
  4. An honest feasibility read: what works and what production would take

Next step

Talk through a project.

Want to talk about a role, a project or any of the work here? Get in touch and I will reply within a working day.

Available from September 2026 for full-time roles and selected freelance projects.