−30%
First-plan preparation time
Data & AI for food manufacturers
From data to better food.
Turn scattered operational and business data into one trusted view for better decisions. Titan Says surfaces risks and opportunities, while Ask Titan lets teams investigate them directly in Microsoft Teams.
Connect all your data
Spot what matters
Ask in Teams
Results achieved with Titan
Customer results achieved with Titan
Manufacturing Data & AI Platform
One operational truth from factory floor to management.
Bring ERP, MES, WMS, planning, quality and machine data together around shared business definitions, so production, sales and management work from the same trusted numbers.
Operational
Factory floor
Operators and supervisors see what is happening on the line and which signal needs action now.
Connect all your data
ERP, MES, WMS, planning, quality, machines and financial context stay connected.
Define your business
Shared definitions make yield, stock, service and margin consistent across teams.
Use it everywhere
The same governed context powers dashboards, Titan Says and Ask Titan everywhere.
Manufacturing Data & AI Platform
One operational truth from factory floor to management.
Connect data
Define business
Use it
Titan Says
Spot what needs attention while there is still time to act.
Focus attention where it matters most. Titan Says turns meaningful changes in trusted Titan data into clear risks and opportunities, with the business context teams need to act.
Risk
A deviation starts to cost time, product or service.
See the context and impact early enough to decide what needs attention.
Opportunity
A better outcome becomes actionable.
Use spare capacity, reduce excess stock or act on another improvement opportunity.
01
Detect
Trusted operational and business data keeps updating.
02
Add context
Titan Says shows what changed, the likely impact and the relevant records.
03
Act
The owner sees a concrete next step and decides what to do.
Titan Says
Spot what needs attention while there is still time to act.
Spot risks
Find opportunities
Act with context
Ask Titan · In Microsoft Teams
Ask the question. Get the answer. Go one level deeper.
Get from a business question to a trusted answer without leaving Microsoft Teams. Ask Titan uses governed Titan data, definitions and access rules so teams can understand what changed, why, and what to explore next.
1
Ask
Use the business question you would normally ask a planner, analyst or colleague.
2
Understand
Get the numbers, context and supporting records behind the answer.
3
Explore
Follow up on customers, orders or timing without rebuilding the context.
Ask Titan · In Microsoft Teams
Ask the question. Get the answer. Go one level deeper.
Ask naturally
Trusted answers
Go deeper
Where to start
Start with one decision that has measurable value.
Bring one recurring problem in yield, downtime, stock, planning, service or margin. We map the decision behind it, the minimum data needed and the smallest credible step to prove the value.
A typical first use case
-
1
Pick a decision with economic impact
Kilo Yield & waste Hour OEE & downtime Euro Stock & margin -
2
Connect only the data needed
Bring together only the relevant data — from ERP, MES, WMS, quality, planning, machines or sensors — and agree the definitions.
-
3
Measure whether the decision improves
Deliver the first trusted answer or workflow and compare the result against the agreed baseline.
Start with one decision that has measurable value.
Bring one recurring problem. We map the decision behind it, the minimum data needed and the smallest credible step to prove value.
Common questions
Short answers about manufacturing analytics, Titan, Titan Says, Ask Titan, and how projects typically start.
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?
If we focus on one decision and a limited dataset, a first usable output is often possible within weeks. The biggest drivers are data access and how quickly business definitions can be confirmed.
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.