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Food For Analytics

Smarter food manufacturing with Data & AI

Titan production overview showing trusted manufacturing data in a food production environment.

Connect your systems

Bring ERP, MES, WMS, and machine data together in one trusted manufacturing view.

Titan at work

Interactive factory

See Titan at work across the factory

3D cutaway of the Food For Analytics virtual food factory

Manufacturing Data & AI Platform

One operational truth from factory floor to management.

An operator checks packaged products against Titan production data on Line 3.

Operational

Factory floor

See what is happening on the line and which signal needs action now.

Connect data Define business Use it

Titan Says

Spot what needs attention while there is still time to act.

A Titan Says stock-risk notification on an iPhone lying beside a procurement laptop.

Notification

Titan Says spots a risk or opportunity.

Spot risks Find opportunities Act with context

Ask Titan · In Microsoft Teams

Ask the question. Get the answer. Go one level deeper.

Office-casual user asks Ask Titan in Microsoft Teams on a mobile phone which customers ordered Ribeye in the last 12 months.

Ask

Ask the questions you would normally ask a planner, analyst or colleague.

Ask naturally Trusted answers Go deeper

Start with your own figures.

A free starting plan, a working PoC and then your choice.

  1. Free start call

    You receive a concrete starting plan

    Free · 30 minutes

    • The goal and your first business question
    • The domain and dashboard
    • Required data and approach
  2. Titan PoC

    A Data & AI platform with your figures

    €2.950 one-off · 30 days

    • Titan in your Azure environment
    • One data model and Power BI dashboard
    • Validated figures and 30 days of use
  3. Managed Titan

    We manage your data

    You decide whether to continue

    • Titan management
    • Daily monitoring
    • Fault analysis, repair and updates*
View the Titan PoC

PoC excludes VAT, cloud and licence costs. Repair within the agreed scope. No automatic renewal.

Common questions

Short answers about manufacturing analytics, Titan, Titan Says, Ask Titan, and how projects typically start.

Who can help us with AI in food manufacturing?

Food For Analytics helps food manufacturers select, implement and use practical AI applications. We start with a recurring business decision, assess the required data and build a solution around your processes. Our work combines food industry knowledge, the Titan data platform and AI applications such as Titan Says and Ask Titan.

Which AI applications can you implement in the food industry?

We focus on applications that support planning, production, stock and commercial decisions. Examples include exploring production scenarios, investigating yield changes and identifying stock at risk of expiry. Titan Says brings relevant risks and opportunities to the responsible team. Ask Titan lets users ask questions and explore the underlying data in Microsoft Teams.

Can we start with one AI use case using our existing systems?

Yes. We can start with one decision and the relevant data from your existing ERP, MES, WMS or other sources. Together, we assess data access and quality, agree on business definitions and set measurable success criteria. We then validate the application with its users before expanding. Your existing operational systems remain in place.

What is manufacturing analytics?

Manufacturing analytics brings production, material, quality, planning, machine and sensor data together to understand performance, identify losses and improve decisions across the production process.

How does Titan support manufacturing analytics?

Titan connects data from ERP, MES, WMS, quality and planning systems, machines and sensors in one governed data foundation. This gives food manufacturers consistent data for production analytics, OEE, yield, inventory, reporting and AI.

What is Titan, in simple terms?

Titan is a manufacturing data and AI platform for food manufacturers, built on Azure Databricks. It connects ERP, MES, WMS, quality, planning, machine and sensor data into one trusted foundation for analytics, reporting and AI.

Does Titan replace our ERP, MES, or WMS?

No. Your manufacturing systems remain the systems of record. Titan connects their data into a governed data and AI layer so teams can work with consistent numbers across systems, plants and departments.

What is Titan Says?

Titan Says continuously monitors trusted manufacturing data in Titan for meaningful changes. When a risk or opportunity needs attention, it assesses the business impact and alerts the people responsible.

What is Ask Titan used for?

Ask Titan is an AI assistant for manufacturing teams in Microsoft Teams. It lets teams ask questions, understand what changed and why, and decide what to do next using trusted Titan data.

What is the difference between Titan Says and Ask Titan?

Titan Says continuously monitors trusted manufacturing data and alerts the people responsible when a risk or opportunity needs attention. Ask Titan is user-initiated: teams ask questions in Microsoft Teams to understand what changed, why it changed and what to do next.

How do you prevent conflicting numbers between dashboards and AI answers?

Dashboards, Titan Says and Ask Titan use the same governed definitions, lineage and access rules in Titan. Business logic is centralized and versioned instead of being recreated per dashboard, alert, prompt or person.

Can Titan run in our Azure tenant?

Yes. Titan typically runs in your Azure tenant or a dedicated tenant. This keeps your security boundaries, identities and access controls in place.

How fast can we see a first result?

For the standard Titan PoC, we deliver one Power BI dashboard within five working days after the confirmed start, once Azure access and usable CSV exports are ready. The PoC lasts 30 calendar days including implementation.

Which teams usually start first?

Common starting teams are planning, production, quality, maintenance and procurement. The best starting point is usually the team that owns a recurring decision where better data can create measurable value.