AI Application Development

From AI experiments to dependable capability

Enterprise AI succeeds when use case, data, workflow, governance, and adoption are designed together. NEAX selects generative AI, machine learning, vision, or optimization according to the problem.

Customer challenges

• Use cases without economicsExperiments lack measurable outcomes and process ownership.
• Fragmented sensitive dataKnowledge is distributed across documents, PLM, ERP, MES, and local systems.
• Trust and governance concernsPrivacy, access, hallucination, explainability, and auditability prevent adoption.
• Prototype-to-production gapModels lack integration, monitoring, security, scalability, and usable workflows.

Enterprise AI capabilities

• AI opportunity assessmentPrioritize use cases by value, feasibility, data readiness, risk, and scaling potential.
• Knowledge assistantsBuild secure retrieval-augmented assistants for technical and business knowledge.
• Document intelligenceExtract, classify, compare, summarize, and route specifications and reports.
• Predictive analyticsForecast failures, quality outcomes, demand, and process performance.
• Computer visionSupport defect detection, classification, monitoring, and human-reviewed inspection.
• Engineering AIAccelerate design exploration, surrogate modeling, simulation, and optimization.
• Integration and MLOpsImplement connections, pipelines, monitoring, versioning, security, and governance.

Our AI delivery approach

1. Frame the use caseDefine the user, workflow, outcome, risks, owner, and success metrics.
2. Assess data and architectureEvaluate quality, permissions, integrations, models, and security.
3. PrototypeBuild a focused proof of value with representative data and agreed evaluation.
4. Productize and integrateEngineer controls, UX, APIs, observability, and deployment.
5. Operate and improveMonitor quality, cost, drift, adoption, incidents, and expansion.

Business value

• Faster knowledge workReduce time spent searching, interpreting, and processing information.
• Better decisionsImprove speed and consistency in engineering and operations.
• Earlier risk detectionIdentify defects and abnormal conditions before larger impact.
• Reusable AI foundationsScale secure patterns, data connections, and governance.

Why NEAX

NEAX combines AI with PLM, simulation, cloud, data, and integration expertise. Human oversight, access control, evaluation, monitoring, and knowledge transfer are designed in from the start.