Data & AI Services Built to Ship
We don't do strategy decks that gather dust. Every engagement ends with something deployed, documented, and owned by your team.
DataStackX is a practitioner-led consulting firm. We work across the full data and AI stack, from architecture and pipelines through to production AI agents and BI dashboards. Each service below is a standalone engagement or part of a broader programme, depending on where you are in your journey.
Schedule a Free Strategy SessionData Strategy & Architecture
You cannot build a reliable AI system on top of fragmented data. We start by auditing your current landscape, covering sources, pipelines, quality, and gaps, then design a clear, prioritised roadmap to move you from where you are to where you need to be. No jargon. No 200-page reports. A working plan your team can execute.
What You Get
- Data maturity assessment
- Architecture blueprint from current state to target state
- Technology selection with build-vs-buy rationale
- 90-day prioritised execution roadmap
- Data gap and risk analysis
Ideal For
Enterprises starting a data transformation, or teams that have invested in data tools but are not seeing the return.
Tech Stack
Data Engineering & Pipeline Development
We design and build the pipelines, warehouses, and lakehouses that form the backbone of your data platform. Whether you run on Snowflake, Databricks, Azure Synapse, or AWS, we implement the architecture that fits your scale, budget, and team, and we document everything so your engineers can own it after we leave.
What You Get
- ELT and ETL pipeline design and build
- Data warehouse and lakehouse setup
- Change Data Capture (CDC) implementation
- Real-time and batch pipeline architecture
- Data quality monitoring and alerting
- Runbooks and handover documentation
Ideal For
Teams with siloed data sources, unreliable reporting, or an existing warehouse that has become a bottleneck.
Tech Stack
AI Workflow Implementation
We identify the specific workflows in your business, such as lead scoring, customer segmentation, demand forecasting, and document processing, where AI creates measurable value. Then we build and deploy the models and integrations that make it real. Every engagement ends with something in production, not a notebook collecting dust.
What You Get
- Use-case identification and ROI scoping
- Model selection, training, and fine-tuning
- Integration with existing systems and APIs
- A/B testing and validation framework
- Production deployment and monitoring
- Performance dashboards and SLA documentation
Ideal For
Companies whose AI experiments never reach production, or teams that want to identify where AI creates real business value.
Tech Stack
Agentic AI Systems
Agentic AI goes beyond chatbots. We design multi-step AI agents that reason, retrieve information, take actions, and operate autonomously within defined guardrails. From internal operations assistants to customer-facing AI workflows, we build agents that handle real business tasks, with full audit logging, human-in-the-loop controls, and production-grade observability.
What You Get
- Agent architecture design and scoping
- RAG pipeline implementation
- Tool-use and API integration
- Human-in-the-loop workflow design
- Observability, tracing, and audit logging
- Guardrail and safety framework
Ideal For
Companies looking to automate multi-step internal workflows, or teams that want customer-facing AI that does more than answer FAQs.
Tech Stack
MLOps & Generative AI Integration
Building a model is the easy part. Keeping it reliable in production, which means monitoring drift, managing versions, and integrating with your existing systems, is where most AI projects fail. We set up the MLOps infrastructure and LLM integration patterns that make your AI investments durable, not disposable.
What You Get
- CI/CD pipeline for model training and deployment
- Model registry and version management
- Drift detection and automated alerting
- Feature store setup
- LLM integration patterns (RAG, fine-tuning, prompt management)
- Cost optimisation strategy
Ideal For
Teams with models in production that are drifting or hard to update, and AI teams that ship models but struggle with operations.
Tech Stack
Analytics & Business Intelligence
Most BI projects fail not because the tool is wrong, but because the data underneath is unreliable and the metrics do not map to decisions anyone actually makes. We build analytics layers on top of your warehouse, including semantic models, KPI frameworks, and self-serve dashboards, and we train your team to own them so you are not dependent on the data team for every report.
What You Get
- KPI framework and business metric definition
- Semantic model and metrics layer build
- Self-serve dashboard development (Power BI, Tableau, Metabase)
- Executive reporting and data storytelling
- Dashboard adoption training and documentation
Ideal For
Finance, operations, and growth teams drowning in spreadsheets, or companies that hold BI licences nobody uses.
Tech Stack
Cloud Data Migration & Modernisation
Legacy data warehouses are slow, expensive to maintain, and block your team from adopting modern AI and analytics tools. We plan and execute migrations from on-prem SQL Server, Oracle, or outdated cloud warehouses to Snowflake, Databricks, or Azure Synapse, using a phased approach that keeps your business running throughout, with full reconciliation testing before you cut over.
What You Get
- Current state assessment and migration sizing
- Data mapping and transformation plan
- Phased migration execution with rollback checkpoints
- Validation and reconciliation testing
- Zero-downtime cutover plan
- Post-migration performance tuning
Ideal For
Companies running legacy on-prem data warehouses, or teams on early-generation cloud warehouses that have not scaled with the business.
Tech Stack
Let's Find Your Starting Point
Book a complimentary 30-minute session with a senior data or AI architect. Bring your challenge, your stack, or an open question, and leave with a clear, honest assessment of where to begin.
No pitch. No obligation. Just a useful conversation.
Typically responds within 1 business day ยท Available globally