Whether you have a specific problem or just know AI should be helping, we find where it fits, build it, and make sure it works in your daily operations.
Three practical starting points
Keep expertise available. Review plant events. Plan asset decisions.
Company Expert AI:
A tailored implementation built around each company’s expertise and requirements. An AI model built around your experts’ knowledge, hosted inside your company and available offline across shifts. Ask questions and get support from planning through delivery, with your experts reviewing important decisions.
Explore your company’s AI
NeoVision:
A working product configured and deployed for each site. Bring configured camera events into review for safety, access and operational visibility.
Explore NeoVision
NeoAssetHorizon:
A working product configured and deployed for each customer. Bring equipment lists and supporting information together for replacement, upgrade and budget decisions.
Explore NeoAssetHorizonProduct illustrations
Need a different workflow? Explore our engineering services.Explore relevant case studies Further case details available under NDA.
A quality reviewer finds the record behind an exception. A bid team checks a prepared requirements list instead of copying it line by line. A maintenance engineer sees a changing equipment pattern while there is still time to investigate. A treatment operator compares process conditions before changing an operating plan.
Start with a task that is slow, repetitive or difficult to do consistently. We agree what to measure, including time spent checking the AI output. Time released, cash savings and avoided risk are assessed separately.
Choose a workflow that matters to the people doing the work. The approach follows the decision, the available information and the cost of an error.
Company Expert AI brings approved documents and captured expert reasoning into a private, company-specific assistant. Help teams find source-linked guidance across planning, design, development, testing and service, with an offline workflow inside your infrastructure.
Capture and validate expert know-how, reduce repeated questions and make handovers easier. Qualified people keep control of important decisions.
Company Expert AICaptured expertise. Source-linked guidance.
Your specialists define the rules and accept the result. NeoBram builds and tests the agreed workflow, including difficult cases and the review people still need to perform. The handover specifies deliverables, operating instructions, training and support responsibilities; customer-specific rights and third-party licences are recorded in the agreement.
We assess on-premises, fully offline, private-cloud and connected options. The design depends on your data, hardware, software licences and required connections. We make those dependencies clear before committing to a deployment.
Our engagement briefs explain the operating problem, what NeoBram delivered and what the engagement reported. Read each result with its measurement context and the evidence available; use a relevant example to shape your own evaluation.
More clarity
No. You need people who understand the workflow and can help assess the result. NeoBram provides the agreed AI engineering, with delivery and ongoing operating responsibilities defined together.
Many workflows can be designed for local operation. We check whether the required data, models, tools and licences can work without internet access before confirming an offline scope.
We agree the current baseline and test a specific improvement. Time released, cash savings and avoided risk are assessed separately. We do not promise a savings percentage before the result is measured.
Start with one business problem
