Automation and system integrators
Add knowledge AI, vision, predictive models or agents to OT/IT and control-system programmes.
AI delivery partner
Your customer relationship. Your domain expertise. Our AI engineering capability.
NeoBram works with industrial, engineering and software SMEs that need to propose and deliver AI to their own end customers without pretending a few AI demos are a delivery practice.
- 01Co-discovery and proposal architecture
- 02AI engineering from pilot to production
- 03Private deployment, documentation and handover
AI engineering partner
Your experts define process truth. NeoBram engineers the AI. The production team validates the outcome.
01 / Domain02 / Evidence03 / AI
Quick answer
NeoBram can join your customer delivery from discovery through production. You retain customer and domain leadership. We provide the AI architecture, engineering, evaluation, deployment and enablement under a clearly defined responsibility model.
Who this is for
Extend what you already deliver.
The best partnership starts with a company that already understands its customer, industry and commercial responsibility.
Equipment OEMs and service firms
Add diagnostics, copilots, analytics or AI-enabled services around installed equipment and field support.
Engineering and advisory firms
Strengthen proposals and delivery when an industrial transformation programme includes AI.
Industrial software companies
Add production-grade AI features to an existing application without standing up a full AI team.
One connected delivery path
Support where your project actually needs AI depth.
01
Discover and qualify
Join customer workshops, clarify the use case, identify data and deployment constraints, and expose feasibility risks early.
02
Shape the proposal
Create solution architecture, scope, assumptions, evaluation plan, milestones and a defensible effort estimate.
03
Engineer the solution
Build data pipelines, models, RAG, agents, APIs, applications and integrations with your delivery team.
04
Deploy and validate
Implement the agreed private architecture, test limitations, document controls and support customer acceptance.
05
Handover and support
Provide operating documentation, training, source deliverables and an agreed post-launch support model.
Commercial collaboration
Choose a model that protects trust.
Visibility, branding, ownership, licences, acceptance and support responsibilities are agreed before delivery not discovered after launch.
Co-delivery
Both teams are visible. You lead the customer and domain work; NeoBram leads the AI work.
Embedded AI pod
NeoBram engineers join your project team for a defined workstream, milestone or delivery period.
Behind-the-scenes support
We work under an agreed delivery arrangement while your company remains the primary customer interface.
Capability transfer
We deliver the first project and train your team to take more ownership of future AI work.
Responsibility by design
No blurred ownership at customer acceptance.
Your company leads
- Customer and commercial relationship
- Industry and process commitments
- Access, stakeholder and change management
- Final contractual acceptance
NeoBram leads
- AI solution and evaluation architecture
- Data, model and application engineering
- Deployment and technical documentation
- Technical enablement and agreed support
Both teams agree
- Scope, assumptions and exclusions
- Data rights and third-party licences
- Acceptance criteria and limitations
- Post-launch ownership and escalation
Have a customer asking for AI?
Bring the problem, customer constraints and your current scope. We will help identify the delivery path and the questions that still need answers.