Expertise When You Need It

AI-as-a-Service

Access senior AI architects, data scientists, and engineers on-demand. Our AI-as-a-Service model gives you the flexibility to accelerate delivery while maintaining control and quality.

Certified Microsoft AI capability, on demand

Microsoft Cloud Partner Microsoft Cloud Partner
Data & AI on Azure Data & AI on Azure
Microsoft Fabric Featured Partner Microsoft Fabric Featured Partner
Business Applications Specialist Business Applications Specialist
What We Deliver

Key Capabilities

On-Demand AI Expertise and Scalable Delivery Capacity

Access senior AI architects, data scientists, and ML engineers when you need them, scaling your team up or down to match project demands without long-term commitments.

Continuous Optimisation, Advisory, and AI Infrastructure Assessment

Receive ongoing advisory support and AI infrastructure assessments that continuously optimise your AI solutions for performance, cost, and alignment with evolving business needs.

Lower Overhead Than Permanent Hires and Flexible AI Engagement

Reduce the overhead of building and maintaining a full-time AI team with flexible engagement models that deliver expert-level AI capability at a fraction of the cost.

48 hrs

To spin up senior AI capacity on a live programme

70+

Microsoft certifications across the delivery bench

50%

Lower cost vs. hiring equivalent permanent capability

100%

UK-based, named engineers on every engagement

Common Use Cases

Where AI-as-a-Service drives value

Augmenting internal AI teams

Drop senior data scientists, ML engineers or AI architects into your existing team to accelerate delivery without long-term headcount.

Fractional AI leadership

Engage a fractional Head of AI or AI Architect who shapes strategy, governance and delivery standards while your permanent team grows.

Short-burst discovery and spikes

Run time-boxed discoveries, use-case spikes or technical PoCs with senior specialists you could not easily hire for a few weeks.

Covering skills gaps

Fill specific gaps — MLOps, responsible AI, Copilot Studio, Azure AI Foundry, Databricks — without having to hire in every specialism.

Managed AI operations

Run existing AI solutions — monitoring, retraining, enhancement, on-call — as a managed service via Synapx-as-a-Service.

Independent AI advisory

Provide trusted second opinions, design reviews and delivery assurance on AI programmes led by other partners or internal teams.

How We Work

A proven delivery approach

  1. 01 Step

    Shape

    Agree the outcome, capability profile and engagement model — fractional, embedded, managed service or blended.

  2. 02 Step

    Match

    Put forward named engineers with the right skills and domain experience, typically within 48 hours.

  3. 03 Step

    Deliver

    Work inside your delivery cadence with clear acceptance criteria, weekly check-ins and transparent reporting.

  4. 04 Step

    Flex

    Scale capacity up or down as the programme evolves, without the friction of hiring or redundancies.

FAQ

Frequently asked questions

What engagement models do you offer?

Fractional (e.g., 1–3 days a week), embedded (full-time within your team for a fixed term), project-based (outcome-focused delivery), and fully managed services. Most clients blend approaches as their AI programme matures.

How quickly can you mobilise?

For senior AI roles we typically put forward named candidates within 48 hours and mobilise within 1–2 weeks. For fully managed services, the transition usually runs 4–6 weeks including knowledge transfer.

Who will we actually get?

Named, permanent Synapx engineers — not anonymous rate cards or off-shore body-shopping. Every AI-as-a-Service engagement is staffed with people whose CVs and certifications you review up front.

Is this more expensive than hiring?

On a fully-loaded basis, equivalent senior AI capability via Synapx is typically 20–50% cheaper than hiring permanently, once recruitment, benefits, bench risk and the ability to flex are accounted for. It is especially efficient for capability you do not need year-round.

Can you also run solutions long-term?

Yes. Our Synapx-as-a-Service offering provides ongoing operations, retraining, monitoring and enhancement of AI solutions — whether we originally built them or inherited them.

Do we keep IP and knowledge?

Yes. All IP built on your engagement is yours, and we actively transfer knowledge to your team through pair working, documentation and training. The goal is to leave you stronger, not more dependent.

Ready to Get Started?

Let's discuss how we can help your organisation unlock the full potential of your technology.

Book Your Free Assessment