Industrial data foundations
Connect historians, AVEVA PI and operational data platforms. Define asset structures, information ownership and data quality checks so the information can be understood beyond its source system.
Industrial Data & AIPut industrial data
Put industrial data
to work.
Give industrial information a clear structure, purpose and owner. TEXVIA connects AVEVA PI, historians and data platforms with operational context, helping teams develop analytics, predictive intelligence and Agentic AI around defined questions and decisions people can review.
06 / What TEXVIA delivers
From operational signals to informed action.
Start with the questions your teams need to answer. Build a dependable data foundation, add useful operational context and introduce analytics or AI where a defined use case can be evaluated in practice.
Operational analytics
Develop trends, dashboards and analysis around equipment, energy, production and process questions. Connect values to the assets, events and operating conditions that make them meaningful.
Predictive intelligence
Assess whether available data can support a defined prediction or early-warning use case. Validate model behaviour against representative conditions and agree how users will review its outputs.
Agentic AI with oversight
Explore assistants that retrieve operational context, explain information or coordinate approved workflows. Define access boundaries, human review and evaluation before introducing actions into the operating environment.
Where it becomes useful
Connect the data to a useful question.
Investigate changing asset behaviour
Bring process history and asset context together to compare operating conditions. Help engineers assess whether a change needs attention and what further investigation is required.
Build an operational knowledge assistant
Connect approved documents and data to a focused information task. Validate the answers with users and retain human approval for decisions or actions that affect operations.
How we workDefine the scope.
Define the scope.
Connect the delivery.
Agree the requirements, responsibilities and acceptance criteria with the people who will use and maintain the solution.
Choose the use case
Define the user, question, decision and evidence needed to judge whether the solution is useful.
Prepare and validate
Review data quality and context, then test the analytics or AI approach on representative information.
Operate responsibly
Agree ownership, human review, access and ongoing monitoring before extending the scope.
Connect your scopePart of a wider
Part of a wider
industrial capability.
Connect this service with the disciplines and industry experience your project needs.
Related services
Relevant industries
Your next step
Which decision would better data improve?
Tell us about the operational question, available systems and people who need the answer. We can help define a focused data, analytics or AI starting point.
Explore industrial data and AI