More than a platform. Your delivery partner.
StudioX gives you the enterprise AI platform — and the engineering team to design, build, integrate and run the solutions on it. Advisory to go-live to managed services, with a 100+ engineer bench behind every commitment.
We support you at every step of your AI journey.
Before a line is built, our consultants help you decide where AI pays back, which technology fits, and how to get there — so the strategy is right before the engineering starts.
Assessment & strategy
We work closely with your team to craft a tailored AI adoption strategy that meets your goals — our consultants bring deep expertise in AI models and technologies, so what you deploy fits your requirements exactly.
Identifying the right technology
Every business is distinct, so AI & IT consulting has to be personalized. We take the time to understand your specific needs and challenges, then design a solution that aligns with them — never an off-the-shelf template.
Adoption roadmap
A sequenced plan from first use case to enterprise scale — priorities, architecture, governance and the operating model — so the strategy has a clear path to measurable return.
Three ways to work with us.
Buy the platform and build yourself, hand us the build, or have us run it for you — most enterprises use all three over time, on the same foundation.
Platform
StudioX as enterprise AI infrastructure — your own teams build assistants, agents, workflows and applications without writing code.
Professional services
Custom AI applications designed, built, integrated and deployed by our engineering team — bespoke to your processes, data and systems.
Ongoing support
Dedicated hyper-support through adoption, then managed services — tuning, monitoring and continuous improvement, with accountability that stays.
From boardroom to go-live and beyond.
One accountable team across the whole lifecycle — you never hand off between a strategy deck and someone who has to make it real.
- 01
AI consulting & advisory
Assess where AI creates measurable return, then shape the roadmap, architecture, governance and operating model.
- 02
Discovery & solution design
Identify where autonomous work pays back, and design the solution together with its integration architecture.
- 03
Custom development
Build assistants, agents, workflows and applications — bespoke to your processes, your data and your systems.
- 04
Data & integration
Prepare the data foundations — pipelines, quality, retrieval — and connect to your systems of record: identity, ERP, CRM, service desks, content and data platforms.
- 05
Deployment & testing
Deploy into your environment, test against real cases, and run acceptance (FAT/SAT) with the business users who will rely on it.
- 06
Training, enablement & adoption
Train your teams to operate, extend and eventually build themselves — with change-management and adoption programmes that make it stick.
- 07
Hyper-support & managed services
Dedicated support through adoption, then ongoing managed services — tuning, monitoring and continuous improvement.
What we build.
The full range of enterprise AI — from a single assistant to an autonomous system that runs a department.
Agentic AI systems
Autonomous agents that reason, act across your tools, and run work end to end under the policy you set.
Enterprise assistants & copilots
Grounded on your knowledge and connected to your systems — for support, operations and every function.
AI workflows & departmental apps
Process automation and full applications — pages, roles, approvals and integrations wired together.
Applied ML & data engineering
Anomaly detection, forecasting, predictive analytics, pattern recognition and time-series — on the data foundations we prepare.
Retrieval-augmented generation
Answers grounded in your documents and data, with citations — so every response is traceable to a source.
Multi-modal interfaces
Conversational, dashboard, API and event-driven — the surface that fits how the work actually happens.
Deployed where your data lives.
Your environment, your perimeter, your governance — we deploy into it rather than pulling your data out to us.
Private cloud / your data centre
Private VMs inside your own infrastructure — your data never leaves your control.
Public cloud, your tenancy
AWS, GCP or Azure — deployed inside your own tenancy and accounts, not ours.
On-premises & air-gapped
Fully on-premises, including air-gapped environments with no outbound connectivity.
Connected to your systems of record.
AI only creates value when it reaches the systems the business actually runs on — IT and operational technology alike.
Enterprise systems
Operational technology
Read-only by design — we observe the plant, we don't control it.
A partner on the hook for the outcome.
For critical AI initiatives you need more than a licence — you need a team that stays accountable from the first workshop to steady-state operations.
Standing engineering bench
A dedicated bench of engineers ready to staff your initiative — not a scramble to hire after the contract signs.
Single-point accountability
One team accountable for the outcome across the whole architecture and the managed-services phase — no finger-pointing between vendors.
Hyper-support after go-live
A dedicated hyper-support phase follows every go-live, so adoption never stalls the moment the project team steps back.
Enablement & adoption
Change-management and enablement so your teams operate, extend and eventually build for themselves.
Bring us your hardest AI initiative.
Advisory to go-live to managed services — on your systems, in your environment, with one team accountable end to end.