services
QNeura works with institutional clients on the strategy, architecture, and delivery of machine-learning systems where the consequences of getting it wrong are non-trivial. Engagements are selective, structured around a defined deliverable, and conducted under NDA.
The five formats below cover the typical entry points — from a single decision-pressure session through to embedded technical leadership.
A focused single session for urgent decisions: a first AI hire, a technical-approach review, or pressure-testing a specific problem against the current state of the field.
FormOne-hour session with structured preparation based on materials shared in advance. Outcome notes provided.
Suited toFounders, CTOs, and decision-makers facing a near-term call where a second senior opinion would change the answer.
A structured assessment of an existing AI or ML programme — current state, gaps against best practice, and a realistic plan for the next 6–18 months. Aligned to team capacity rather than to vendor catalogues.
DeliverablesWritten assessment, prioritised roadmap, technology recommendations, and team-structure guidance.
Suited toOrganisations with existing AI initiatives that need a sharp external read before committing further capital or headcount.
Direct collaboration to deliver working systems — retrieval-augmented generation pipelines, computer-vision workflows, multimodal products, or LLM fine-tuning — with knowledge transfer built in throughout.
FormFixed-fee project or milestone engagement. Scope and acceptance criteria agreed up front.
Suited toWell-scoped projects where expert execution is needed alongside team capacity-building.
A senior technical voice on AI strategy, architecture, and hiring — without committing to a full-time hire. Covers LLM, RAG, and agentic systems, with selective hands-on delivery where appropriate.
FormMonthly retainer, typically one to two days per week.
Suited toOrganisations operating at the edge of internal AI capability who need ongoing senior judgement.
End-to-end Apple Silicon application development with local and cloud model support, offline-first workflows, and release-ready packaging. For teams that want to ship native desktop tools rather than yet another browser tab.
ScopeDesktop UX, model integration, performance optimisation, packaging, and launch support.
Suited toProduct teams whose users work in professional environments where native performance and privacy matter.
Engagements are selective and limited each quarter. The fastest route to a serious conversation is a short note describing the decision in front of you and the timeline you are working to.