−30%
First-plan preparation time
Titan™
The Food Manufacturers' Data and AI Platform
ERP
MES
IoT
Titan
Governed data foundation
Production
Improve yield
Availability
Serve demand
Margin
Grow profit
Connect ERP, MES and factory data once. Deliver Power BI datasets and AI answers in MS Teams.
Titan is the data and AI platform for food manufacturers, built on Microsoft Azure with an Azure Databricks lakehouse foundation. Connect ERP, MES and factory data once, govern KPI definitions, and deliver trusted datasets to Power BI plus AI answers in Microsoft Teams with Ask Titan.
ERP
Orders and stock
MES
Production events
IoT
Machine signals
Titan
Azure Databricks lakehouse
production
Improve yield
availability
Serve demand
margin
Grow profit
Results achieved with Titan
Three layers, one foundation. Ingest ERP, MES and factory data, govern definitions, and deliver trusted dashboards and AI answers.
A typical end-to-end path from data to decisions.
ERP, MES, SCADA
Tables, files, events
Batch, event, API
Pipelines + schedules
Delta tables
History and audit trail
Metrics + definitions
Semantic layer
Dashboards and answers
Same definitions, same numbers
Want to map this to your landscape?
We review sources, security constraints and identify your first Data and AI use cases.
Titan connects existing ERP, finance, stock, production and commercial data into one governed Data and AI layer for Power BI, reporting, dashboards, Ask Titan and AI agent use cases.
Your system not listed?
Whether you use another ERP, finance system, production system, stock system or commercial platform, we can discuss how Titan connects your data into one governed Data and AI layer.
What is included
You get the reference architecture, standard models, KPI definitions and operational setup. Built to keep dashboards and Ask Titan answers aligned, without building and maintaining the full stack yourself.
A proven blueprint for ingestion, Azure Databricks lakehouse, governance, semantic models and consumption.
Manufacturing, inventory, orders and production events, designed for reuse and plant rollout.
Shared KPI definitions so Power BI numbers and Ask Titan answers stay consistent.
Dev, test and prod separation with controlled releases, aligned to your standards where applicable.
Pipeline health, data freshness and failures surfaced early, with clear ownership and response.
Documentation of models and flows, plus operational runbooks for support and continuity.
Security and governance
Built for controlled manufacturing data. Clear access rules, auditable usage, and a security baseline in Azure.
Controls, documentation and operational routines aligned with an ISO 27001 certified way of working.
Azure AD based access, role separation between producers and consumers, and permissions per domain, plant or team.
Transport is secured with TLS. Stored data is encrypted at rest, aligned with Azure standards and your policies.
Note: exact controls depend on your tenant standards and risk profile, but the pattern stays consistent.
High-value decisions
Start with one decision. Prove the value. Scale what works.
Start where a kilo, hour or euro is at stake. Connect the data behind one decision, measure the result and reuse the same foundation as you expand.
High-value decisions
The first use case should have a clear owner, a measurable business outcome and a small enough data scope to prove value quickly. Start where a kilo, hour or euro is at stake, then reuse the same trusted foundation as you expand.
Reduce firefighting and improve delivery reliability.
Typical outcomes: fewer shortages, better on-time performance and less expediting.
Improve OEE, throughput and yield while reducing downtime and waste.
Typical outcomes: more sellable output, fewer lost minutes and better shift control.
Reduce expiry risk while keeping availability and working capital under control.
Typical outcomes: less waste, fewer emergency moves and lower stock at risk.
Understand margin by customer, SKU, order and plant.
Typical outcomes: better pricing, mix and margin decisions with fewer blind spots.
Improve supplier performance, material quality and procurement control.
Typical outcomes: fewer quality surprises, better yield and clearer purchasing variance.
Improve customer service, commercial visibility and account performance.
Typical outcomes: better service levels, fewer claims and clearer customer value.
Start with one recurring loss, constraint or decision. We help identify where the value sits, which data is needed and how to prove the result.
Why a managed platform
Titan is a managed foundation: architecture, models, definitions and operations as one service.
For business teams
Planning, production and finance teams get trusted insights and answers without chasing exports, filters and definitions.
For IT and data
Clear separation of responsibilities, documented models, and an operational setup built for changes and releases.
For management
Prove value with one plant and one KPI, then scale with the same architecture and standard building blocks.
For AI readiness
Ask Titan uses the same governed models as Power BI, so answers match numbers and adoption grows faster.
Different factories, similar patterns: less firefighting, faster decisions, and better control on stock, waste and margin.
How to start
You do not need a multi year program. Start with one source and one model. Get live insights plus Ask Titan answers fast.
Connect one source. Build one model. Show Power BI and Ask Titan results.
Subscription
After a successful PoC, we roll out Titan plant by plant. We manage the platform, models and monitoring together with your IT and security teams.
Short, practical answers. If you want to go deeper, book a meeting and we will map your current landscape together.
No. Titan does not replace operational systems. It connects sources like ERP, MES, SCADA and WMS into a governed analytics and AI layer, while your operational systems remain the system of record.
A reference architecture, ingestion patterns, standard models, a semantic layer for KPI definitions, monitoring and alerting, and operational runbooks. The goal is a stable foundation, not a one-off dashboard project.
Often ERP plus one operational source that is critical for the first decision, for example WMS for stock, planning for service risk, or MES signals for factory performance.
We define KPIs once in a governed semantic layer, validate them with business owners, and version changes. Dashboards and Ask Titan then consume the same definitions.
Yes. Titan is designed to serve governed datasets to tools like Power BI. The platform focuses on consistency, refresh, access control, and documentation behind the visuals.
Titan runs on Microsoft Azure, typically in your tenant or a dedicated tenant. Food For Analytics can manage operations, monitoring, and releases in cooperation with your IT and security teams.
With a focused scope, teams typically see a first validated output within weeks. The key is picking one decision flow and confirming access to the minimum data needed.
Yes. Titan is built on Microsoft Azure with an Azure Databricks lakehouse foundation. We use it to standardize ingestion, data models and governed KPI logic so Power BI and Ask Titan use the same definitions.
A clear first step
Free start call
Titan PoC
Managed Titan