Data and AI Consultancy: Senior Azure, Databricks, and AI experts
Our Data and AI Consultancy helps food manufacturers design, build and run reliable Azure and Databricks platforms, from first PoC to production-grade data products and AI use cases.
Practical delivery, clean handover, and durable patterns.
Azure data and AI platform and networking
Landing zones, security, hub and spoke, private endpoints.
Databricks and Apache Spark
Delta Lake, batch and streaming, performance tuning.
Power BI and data products
Models, governance and embedded analytics for planners.
AI, LLMs and Ask Titan
Python, LangChain, LangGraph and secure AI patterns.
DevOps, CI/CD and IaC
Azure DevOps, Terraform, Docker, Kubernetes and pipelines.
Trusted by leading food manufacturers
Move from PoC energy to production grade delivery
Many teams get stuck between experiments and daily operations. Consultancy gives you a senior sparring partner to make decisions, simplify architecture, and ship reliable data products that people actually use.
Risk of fragile setups
PoCs often miss security, governance, and operational readiness.
Slow platform progress
Teams lose time on unclear patterns and repeated design debates.
Hard to maintain
Without clean CI/CD and ownership, improvements become firefighting.
Data and AI Consultancy across your Microsoft Azure environment
We help you design and build a modern data and AI platform on Azure with Databricks, Azure AI Foundry, Power BI and DevOps. You can start small on one topic or work with us across the full stack.
Azure data foundation
- Landing zones for data and analytics workloads
- Storage, security and access patterns that fit the food industry
- Azure networking, private endpoints and secure connectivity
Databricks and Apache Spark
- Delta Lake, medallion architecture and performance tuning
- Batch, streaming and event based data processing
- Best practices for notebooks, repos and governance
Power BI and data products
- Data models that are fast and easy to use for planners and managers
- Row level security and workspace structure
- Embedded analytics and integration with Ask Titan flows
AI and LLM
- LLM use cases based on your existing data models
- Python, LangChain, LangGraph and vector based search
- Guardrails, observability and security for AI workloads in Azure AI Foundry
DevOps and CI/CD
- Azure DevOps, GitHub and pipeline design for data, AI and infrastructure
- Infrastructure as code with Terraform and Bicep
- Docker, Kubernetes and deployment patterns for services
Integration and streaming
- Apache Kafka, Event Hubs and IoT integrations from factory to cloud
- Event and streaming patterns next to batch processing
- Data contracts and stable interfaces for ERP and MES systems
How you can work with our consultants
Flexible engagement models
Choose a short review, co build with your team, or use us as an expert on demand. We keep it practical and focused on outcomes.
Not sure where to start? Most teams choose Co build for serious platform delivery.
Platform health check
Best for: quick clarity and risk reduction
Short review of your Azure data platform, Databricks setup or Power BI landscape, with concrete improvement points and risks.
- Architecture and security review
- Performance and cost insights
- Actionable list of improvements
Expert on demand
Best for: fast answers and second opinions
Use us as a senior sparring partner for tricky questions in Azure, Databricks, AI, Power BI or DevOps.
- Architecture and design sessions
- Second opinions before go live
- Support during incidents and migrations
Value for both IT and the business
Our consultancy sits between IT and operations. We speak Azure and Databricks, but we also speak planning meetings, production issues and boardroom discussions.
IT, data and platform teams
- Architecture that fits Azure standards and governance
- Clean CI/CD and infrastructure as code setup
- Concrete patterns for streaming, batch and API based integration
Operations, supply chain and finance
- Databricks and Power BI solutions tied to concrete KPIs
- AI support that connects to the way teams actually work
- Less firefighting, more predictable performance conversations
C level and directors
- Clear roadmap from first PoCs to a stable data and AI platform
- Independent view on risks, investments and priorities
- Better alignment between strategy, IT and operations
Consultancy that leads to working platforms
Our consultancy is often part of broader work with Titan and Ask Titan. We help you get the fundamentals right so your solutions stay usable in daily operations.
Frequently asked questions
Clear answers about engagement model, skills, and how we work with your team.
Is this staff augmentation or project delivery?
It can be both. Many customers start with targeted delivery support in a defined scope, and then evolve into a longer partnership based on roadmap priorities.
Which skills can you provide?
Common profiles include data engineering, analytics engineering, BI modeling, platform engineering (Azure and Databricks), and governance and adoption support.
How do you work with our internal IT and security teams?
We align with your standards for access control, environments, deployment and documentation. We prefer least-privilege and clear ownership for KPI definitions.
Do you work on site or remote?
Both are possible. Most delivery is remote with planned onsite sessions for discovery, validation and workshops when needed.
Can you work with what we already have?
Yes. We commonly integrate with existing ERP, WMS, MES, planning tools and existing Power BI environments. The goal is to improve consistency and reduce rework, not to replace everything.
How do we keep knowledge inside our team?
We document decisions, definitions and pipelines, and we work in short cycles with validation and handover moments. You should not depend on one person to understand the setup.
Need a senior Azure or Databricks sparring partner?
In a short call we explore your current setup, your next steps and where consultancy on Azure, Databricks, Power BI, AI or DevOps can help most. No heavy commitment, just a clear view on options.
Typical first steps
- 1 Quick scan of platform goals, risks, and bottlenecks.
- 2 Agree the highest leverage focus area for the next block of days.
- 3 Start co building with clear outcomes and a clean handover.